diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index 0a3aa69..c0dd826 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -21,8 +21,7 @@ jobs:
         run: pip install tox
       - name: Run tox
         run: tox -e py
-      - name: SonarCloud Scan
-        uses: SonarSource/sonarcloud-github-action@master
+      - name: SonarQube Scan
+        uses: SonarSource/sonarqube-scan-action@299e4b793aaa83bf2aba7c9c14bedbb485688ec4
         env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}  # Needed to get PR information, if any
           SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }}
diff --git a/.github/workflows/pylint.yml b/.github/workflows/pylint.yml
index 51ac608..26415bd 100644
--- a/.github/workflows/pylint.yml
+++ b/.github/workflows/pylint.yml
@@ -7,17 +7,17 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [ "3.8", "3.9", "3.10", "3.11", "3.12" ]
+        python-version: [ "3.10", "3.11", "3.12" ]
     steps:
       - uses: actions/checkout@v4
-    - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v4
-      with:
-        python-version: ${{ matrix.python-version }}
-    - name: Install dependencies
-      run: |
-        python -m pip install --upgrade pip
-        pip install pylint
-    - name: Analysing the code with pylint
-      run: |
-        pylint $(git ls-files '*.py')
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install pylint
+      - name: Analysing the code with pylint
+        run: |
+          pylint $(git ls-files '*.py')
diff --git a/.github/workflows/unittests.yml b/.github/workflows/unittests.yml
index 85a4b70..e3d59f6 100644
--- a/.github/workflows/unittests.yml
+++ b/.github/workflows/unittests.yml
@@ -17,13 +17,13 @@ jobs:
   test:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
 
       # If you wanted to use multiple Python versions, you'd have specify a matrix in the job and
       # reference the matrixe python version here.
-      - uses: actions/setup-python@v5
+      - uses: actions/setup-python@v6 
         with:
-          python-version: 3.9
+          python-version: '3.10' 
 
       # Cache the installation of Poetry itself, e.g. the next step. This prevents the workflow
       # from installing Poetry every time, which can be slow. Note the use of the Poetry version
@@ -45,7 +45,7 @@ jobs:
       # The key configuration value here is `virtualenvs-in-project: true`: this creates the
       # venv as a `.venv` in your testing directory, which allows the next step to easily
       # cache it.
-      - uses: snok/install-poetry@v1
+      - uses: snok/install-poetry@76e04a911780d5b312d89783f7b1cd627778900a
         with:
           version: 2.1.0
           virtualenvs-create: true
diff --git a/poetry.lock b/poetry.lock
index 42ae1d5..a3f934f 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,19 +1,19 @@
-# This file is automatically @generated by Poetry 2.0.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.3.4 and should not be changed by hand.
 
 [[package]]
 name = "astroid"
-version = "3.3.10"
+version = "4.0.4"
 description = "An abstract syntax tree for Python with inference support."
 optional = false
-python-versions = ">=3.9.0"
+python-versions = ">=3.10.0"
 groups = ["lint", "test"]
 files = [
-    { file = "astroid-3.3.10-py3-none-any.whl", hash = "sha256:104fb9cb9b27ea95e847a94c003be03a9e039334a8ebca5ee27dafaf5c5711eb" },
-    { file = "astroid-3.3.10.tar.gz", hash = "sha256:c332157953060c6deb9caa57303ae0d20b0fbdb2e59b4a4f2a6ba49d0a7961ce" },
+    {file = "astroid-4.0.4-py3-none-any.whl", hash = "sha256:52f39653876c7dec3e3afd4c2696920e05c83832b9737afc21928f2d2eb7a753"},
+    {file = "astroid-4.0.4.tar.gz", hash = "sha256:986fed8bcf79fb82c78b18a53352a0b287a73817d6dbcfba3162da36667c49a0"},
 ]
 
 [package.dependencies]
-typing-extensions = { version = ">=4", markers = "python_version < \"3.11\"" }
+typing-extensions = {version = ">=4", markers = "python_version < \"3.11\""}
 
 [[package]]
 name = "colorama"
@@ -35,64 +35,65 @@ description = "Python library for calculating contours of 2D quadrilateral grids
 optional = false
 python-versions = ">=3.10"
 groups = ["benchmark"]
+markers = "python_version == \"3.10\""
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 [package.dependencies]
@@ -105,85 +106,217 @@ mypy = ["bokeh", "contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.15.0)", "
 test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
 test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"]
 
+[[package]]
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 [package.extras]
-toml = ["tomli"]
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 [[package]]
 name = "cycler"
@@ -193,8 +326,8 @@ optional = false
 python-versions = ">=3.8"
 groups = ["benchmark"]
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 description = "serialize all of Python"
 optional = false
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 ]
 
 [package.dependencies]
@@ -491,7 +687,7 @@ kiwisolver = ">=1.3.1"
 numpy = ">=1.23"
 packaging = ">=20.0"
 pillow = ">=8"
-pyparsing = ">=2.3.1"
+pyparsing = ">=3"
 python-dateutil = ">=2.7"
 
 [package.extras]
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 python-versions = ">=3.7"
 groups = ["benchmark"]
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 ]
 
 [[package]]
@@ -528,74 +724,158 @@ description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["benchmark"]
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-docs = ["furo", "olefile", "sphinx (>=8.2)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
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+version = "4.9.6"
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-type = ["mypy (>=1.14.1)"]
-
 [[package]]
 name = "pygments"
-version = "2.19.1"
+version = "2.20.0"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["benchmark"]
 files = [
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 [package.extras]
@@ -747,28 +1031,28 @@ windows-terminal = ["colorama (>=0.4.6)"]
 
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 [package.dependencies]
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 colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""}
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+    {version = ">=0.3.6", markers = "python_version == \"3.11\""},
 ]
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+isort = ">=5,<5.13 || >5.13,<9"
 mccabe = ">=0.6,<0.8"
 platformdirs = ">=2.2"
-tomli = { version = ">=1.1", markers = "python_version < \"3.11\"" }
+tomli = {version = ">=1.1", markers = "python_version < \"3.11\""}
 tomlkit = ">=0.10.1"
 
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@@ -777,14 +1061,14 @@ testutils = ["gitpython (>3)"]
 
 [[package]]
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-version = "3.2.3"
-description = "pyparsing module - Classes and methods to define and execute parsing grammars"
+version = "3.3.2"
+description = "pyparsing - Classes and methods to define and execute parsing grammars"
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 python-versions = ">=3.9"
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+    {file = "tomli-2.4.1-cp314-cp314t-win_arm64.whl", hash = "sha256:eab21f45c7f66c13f2a9e0e1535309cee140182a9cdae1e041d02e47291e8396"},
+    {file = "tomli-2.4.1-py3-none-any.whl", hash = "sha256:0d85819802132122da43cb86656f8d1f8c6587d54ae7dcaf30e90533028b49fe"},
+    {file = "tomli-2.4.1.tar.gz", hash = "sha256:7c7e1a961a0b2f2472c1ac5b69affa0ae1132c39adcb67aba98568702b9cc23f"},
 ]
 
 [[package]]
@@ -973,21 +1291,21 @@ optional = false
 python-versions = ">=3.8"
 groups = ["main", "lint", "test"]
 files = [
-    { file = "tomlkit-0.13.3-py3-none-any.whl", hash = "sha256:c89c649d79ee40629a9fda55f8ace8c6a1b42deb912b2a8fd8d942ddadb606b0" },
-    { file = "tomlkit-0.13.3.tar.gz", hash = "sha256:430cf247ee57df2b94ee3fbe588e71d362a941ebb545dec29b53961d61add2a1" },
+    {file = "tomlkit-0.13.3-py3-none-any.whl", hash = "sha256:c89c649d79ee40629a9fda55f8ace8c6a1b42deb912b2a8fd8d942ddadb606b0"},
+    {file = "tomlkit-0.13.3.tar.gz", hash = "sha256:430cf247ee57df2b94ee3fbe588e71d362a941ebb545dec29b53961d61add2a1"},
 ]
 
 [[package]]
 name = "typing-extensions"
-version = "4.14.0"
+version = "4.15.0"
 description = "Backported and Experimental Type Hints for Python 3.9+"
 optional = false
 python-versions = ">=3.9"
-groups = ["benchmark", "lint", "test"]
-markers = "python_version < \"3.11\""
+groups = ["lint", "test"]
+markers = "python_version == \"3.10\""
 files = [
-    { file = "typing_extensions-4.14.0-py3-none-any.whl", hash = "sha256:a1514509136dd0b477638fc68d6a91497af5076466ad0fa6c338e44e359944af" },
-    { file = "typing_extensions-4.14.0.tar.gz", hash = "sha256:8676b788e32f02ab42d9e7c61324048ae4c6d844a399eebace3d4979d75ceef4" },
+    {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"},
+    {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"},
 ]
 
 [extras]
diff --git a/pystreamapi/loaders/__csv/__csv_loader.py b/pystreamapi/loaders/__csv/__csv_loader.py
index f009ad4..85d8b6e 100644
--- a/pystreamapi/loaders/__csv/__csv_loader.py
+++ b/pystreamapi/loaders/__csv/__csv_loader.py
@@ -1,41 +1,62 @@
 from collections import namedtuple
 from csv import reader
+from io import StringIO
+from typing import Any, Iterator
 
 from pystreamapi.loaders.__loader_utils import LoaderUtils
-from pystreamapi.loaders.__lazy_file_iterable import LazyFileIterable
 
 
-def csv(file_path: str, cast_types=True, delimiter=',', encoding="utf-8") -> LazyFileIterable:
+def csv(
+        src: str, read_from_src=False, cast_types=True, delimiter=',', encoding="utf-8"
+) -> Iterator[Any]:
     """
-    Loads a CSV file and converts it into a list of namedtuples.
-
-    Returns:
-        list: A list of namedtuples, where each namedtuple represents a row in the CSV.
-        :param cast_types: Set as False to disable casting of values to int, bool or float.
-        :param encoding: The encoding of the CSV file.
-        :param file_path: The path to the CSV file.
-        :param delimiter: The delimiter used in the CSV file.
+    Lazily loads CSV data from either a path or a string and yields namedtuples.
+
+    Args:
+        src (str): Either the path to a CSV file or a CSV string.
+        read_from_src (bool): If True, src is treated as a CSV string.
+        If False, src is treated as a path to a CSV file.
+        cast_types (bool): Set as False to disable casting of values to int, bool or float.
+        delimiter (str): The delimiter used in the CSV data.
+        encoding (str): The encoding of the CSV file (only used when reading from file).
+
+    Yields:
+        namedtuple: Each row in the CSV as a namedtuple.
     """
-    file_path = LoaderUtils.validate_path(file_path)
-    return LazyFileIterable(lambda: __load_csv(file_path, cast_types, delimiter, encoding))
+    if not read_from_src:
+        src = LoaderUtils.validate_path(src)
+        return __load_csv_from_file(src, cast_types, delimiter, encoding)
+    return __load_csv_from_string(src, cast_types, delimiter)
 
 
-def __load_csv(file_path, cast, delimiter, encoding):
-    """Load a CSV file and convert it into a list of namedtuples"""
+def __load_csv_from_file(file_path, cast, delimiter, encoding):
+    """Load a CSV file and convert it into a generator of namedtuples"""
     # skipcq: PTC-W6004
     with open(file_path, mode='r', newline='', encoding=encoding) as csvfile:
-        csvreader = reader(csvfile, delimiter=delimiter)
+        yield from __process_csv(csvfile, cast, delimiter)
+
+
+def __load_csv_from_string(csv_string, cast, delimiter):
+    """Load a CSV from string and convert it into a generator of namedtuples"""
+    with StringIO(csv_string) as csvfile:
+        yield from __process_csv(csvfile, cast, delimiter)
+
 
-        # Create a namedtuple type, casting the header values to int or float if possible
-        header = __get_csv_header(csvreader)
+def __process_csv(csvfile, cast, delimiter):
+    """Process CSV data and yield namedtuples"""
+    csvreader = reader(csvfile, delimiter=delimiter)
 
-        Row = namedtuple('Row', list(header))
+    # Create a namedtuple type, casting the header values to int or float if possible
+    header = __get_csv_header(csvreader)
+    if not header:
+        return
 
-        mapper = LoaderUtils.try_cast if cast else lambda x: x
+    Row = namedtuple('Row', list(header))
+    mapper = LoaderUtils.try_cast if cast else lambda x: x
 
-        # Process the data, casting values to int or float if possible
-        data = [Row(*[mapper(value) for value in row]) for row in csvreader]
-    return data
+    # Yield the data row by row, casting values to int or float if possible
+    for row in csvreader:
+        yield Row(*[mapper(value) for value in row])
 
 
 def __get_csv_header(csvreader):
diff --git a/pystreamapi/loaders/__json/__json_loader.py b/pystreamapi/loaders/__json/__json_loader.py
index cf416ef..70364b1 100644
--- a/pystreamapi/loaders/__json/__json_loader.py
+++ b/pystreamapi/loaders/__json/__json_loader.py
@@ -1,40 +1,61 @@
 import json as jsonlib
 from collections import namedtuple
+from typing import Any, Iterator
 
-from pystreamapi.loaders.__lazy_file_iterable import LazyFileIterable
 from pystreamapi.loaders.__loader_utils import LoaderUtils
 
 
-def json(src: str, read_from_src=False) -> LazyFileIterable:
+def json(src: str, read_from_src=False) -> Iterator[Any]:
     """
-    Loads JSON data from either a path or a string and converts it into a list of namedtuples.
+    Lazily loads JSON data from either a path or a string and yields namedtuples.
 
-    Returns:
-        list: A list of namedtuples, where each namedtuple represents an object in the JSON.
-        :param src: Either the path to a JSON file or a JSON string.
-        :param read_from_src: If True, src is treated as a JSON string. If False, src is treated as
-        a path to a JSON file.
+    Args:
+        src (str): Either the path to a JSON file or a JSON string.
+        read_from_src (bool): If True, src is treated as a JSON string.
+        If False, src is treated as a path to a JSON file.
+
+    Yields:
+        namedtuple: Each object in the JSON as a namedtuple.
     """
     if read_from_src:
-        return LazyFileIterable(lambda: __load_json_string(src))
+        return __lazy_load_json_string(src)
     path = LoaderUtils.validate_path(src)
-    return LazyFileIterable(lambda: __load_json_file(path))
+    return __lazy_load_json_file(path)
+
+
+def __lazy_load_json_file(file_path: str) -> Iterator[Any]:
+    """Lazily read and parse a JSON file, yielding namedtuples."""
+
+    def generator():
+        """Generate namedtuples from the JSON file contents."""
+        # skipcq: PTC-W6004
+        with open(file_path, mode='r', encoding='utf-8') as jsonfile:
+            src = jsonfile.read()
+            if not src.strip():
+                return
+            result = jsonlib.loads(src, object_hook=__dict_to_namedtuple)
+            if isinstance(result, list):
+                yield from result
+            else:
+                yield result
+
+    return generator()
 
 
-def __load_json_file(file_path):
-    """Load a JSON file and convert it into a list of namedtuples"""
-    # skipcq: PTC-W6004
-    with open(file_path, mode='r', encoding='utf-8') as jsonfile:
-        src = jsonfile.read()
-        if src == '':
-            return []
-        data = jsonlib.loads(src, object_hook=__dict_to_namedtuple)
-    return data
+def __lazy_load_json_string(json_string: str) -> Iterator[Any]:
+    """Lazily parse a JSON string, yielding namedtuples."""
 
+    def generator():
+        """Internal generator that yields namedtuples by parsing the JSON string on demand."""
+        if not json_string.strip():
+            return
+        result = jsonlib.loads(json_string, object_hook=__dict_to_namedtuple)
+        if isinstance(result, list):
+            yield from result
+        else:
+            yield result
 
-def __load_json_string(json_string):
-    """Load JSON data from a string and convert it into a list of namedtuples"""
-    return jsonlib.loads(json_string, object_hook=__dict_to_namedtuple)
+    return generator()
 
 
 def __dict_to_namedtuple(d, name='Item'):
diff --git a/pystreamapi/loaders/__xml/__xml_loader.py b/pystreamapi/loaders/__xml/__xml_loader.py
index 98b551e..1a12aba 100644
--- a/pystreamapi/loaders/__xml/__xml_loader.py
+++ b/pystreamapi/loaders/__xml/__xml_loader.py
@@ -1,3 +1,5 @@
+from typing import Iterator, Any
+
 try:
     from defusedxml import ElementTree
 except ImportError as exc:
@@ -5,30 +7,18 @@
         "Please install the xml_loader extra dependency to use the xml loader."
     ) from exc
 from collections import namedtuple
-from pystreamapi.loaders.__lazy_file_iterable import LazyFileIterable
 from pystreamapi.loaders.__loader_utils import LoaderUtils
 
 
-class __XmlLoaderUtil:
-    """Utility class for the XML loader."""
-
-    def __init__(self):
-        self.cast_types = True
-        self.retrieve_children = True
-
-
-config = __XmlLoaderUtil()
-
-
 def xml(src: str, read_from_src=False, retrieve_children=True, cast_types=True,
-        encoding="utf-8") -> LazyFileIterable:
+        encoding="utf-8") -> Iterator[Any]:
     """
     Loads XML data from either a path or a string and converts it into a list of namedtuples.
     Warning: This method isn't safe against malicious XML trees. Parse only safe XML from sources
     you trust.
 
     Returns:
-        LazyFileIterable: A list of namedtuples, where each namedtuple represents an XML element.
+        An iterator with namedtuples, where each namedtuple represents an XML element.
         :param retrieve_children: If true, the children of the root element are used as stream
         elements.
         :param encoding: The encoding of the XML file.
@@ -37,65 +27,76 @@ def xml(src: str, read_from_src=False, retrieve_children=True, cast_types=True,
             a path to an XML file.
         :param cast_types: Set as False to disable casting of values to int, bool or float.
     """
-    config.cast_types = cast_types
-    config.retrieve_children = retrieve_children
     if read_from_src:
-        return LazyFileIterable(lambda: __load_xml_string(src))
+        return _lazy_parse_xml_string(src, retrieve_children, cast_types)
+
     path = LoaderUtils.validate_path(src)
-    return LazyFileIterable(lambda: __load_xml_file(path, encoding))
+    return _lazy_parse_xml_file(path, encoding, retrieve_children, cast_types)
+
+
+def _lazy_parse_xml_file(file_path: str, encoding: str,
+                         retrieve_children: bool, cast_types: bool) -> Iterator[Any]:
+    """Lazily parse an XML file by reading its content and yielding parsed namedtuples."""
+    def generator():
+        """Generator that reads the XML file and yields parsed namedtuples lazily."""
+        # skipcq: PTC-W6004
+        with open(file_path, mode='r', encoding=encoding) as xmlfile:
+            xml_string = xmlfile.read()
+            yield from _parse_xml_string_lazy(xml_string, retrieve_children, cast_types)
 
+    return generator()
 
-def __load_xml_file(file_path, encoding):
-    """Load an XML file and convert it into a list of namedtuples."""
-    # skipcq: PTC-W6004
-    with open(file_path, mode='r', encoding=encoding) as xmlfile:
-        src = xmlfile.read()
-        if src:
-            return __parse_xml_string(src)
-    return []
 
+def _lazy_parse_xml_string(xml_string: str, retrieve_children: bool,
+                           cast_types: bool) -> Iterator[Any]:
+    """Lazily parse an XML string by yielding parsed namedtuples for each element."""
+    def generator():
+        """Generator that yields parsed namedtuples from the XML string lazily."""
+        yield from _parse_xml_string_lazy(xml_string, retrieve_children, cast_types)
 
-def __load_xml_string(xml_string):
-    """Load XML data from a string and convert it into a list of namedtuples."""
-    return __parse_xml_string(xml_string)
+    return generator()
 
 
-def __parse_xml_string(xml_string):
-    """Parse XML string and convert it into a list of namedtuples."""
+def _parse_xml_string_lazy(xml_string: str, retrieve_children: bool,
+                           cast_types: bool) -> Iterator[Any]:
+    """Parse an XML string into namedtuples, optionally yielding child elements lazily."""
     root = ElementTree.fromstring(xml_string)
-    parsed_xml = __parse_xml(root)
-    return __flatten(parsed_xml) if config.retrieve_children else [parsed_xml]
+    parsed = __parse_xml(root, cast_types)
+    if retrieve_children:
+        yield from __flatten(parsed)
+    else:
+        yield parsed
 
 
-def __parse_xml(element):
+def __parse_xml(element, cast_types: bool):
     """Parse XML element and convert it into a namedtuple."""
     if len(element) == 0:
-        return __parse_empty_element(element)
+        return __parse_empty_element(element, cast_types)
     if len(element) == 1:
-        return __parse_single_element(element)
-    return __parse_multiple_elements(element)
+        return __parse_single_element(element, cast_types)
+    return __parse_multiple_elements(element, cast_types)
 
 
-def __parse_empty_element(element):
+def __parse_empty_element(element, cast_types: bool):
     """Parse XML element without children and convert it into a namedtuple."""
-    return LoaderUtils.try_cast(element.text) if config.cast_types else element.text
+    return LoaderUtils.try_cast(element.text) if cast_types else element.text
 
 
-def __parse_single_element(element):
+def __parse_single_element(element, cast_types: bool):
     """Parse XML element with a single child and convert it into a namedtuple."""
     sub_element = element[0]
-    sub_item = __parse_xml(sub_element)
+    sub_item = __parse_xml(sub_element, cast_types)
     Item = namedtuple(element.tag, [sub_element.tag])
     return Item(sub_item)
 
 
-def __parse_multiple_elements(element):
+def __parse_multiple_elements(element, cast_types: bool):
     """Parse XML element with multiple children and convert it into a namedtuple."""
     tag_dict = {}
     for e in element:
         if e.tag not in tag_dict:
             tag_dict[e.tag] = []
-        tag_dict[e.tag].append(__parse_xml(e))
+        tag_dict[e.tag].append(__parse_xml(e, cast_types))
     filtered_dict = __filter_single_items(tag_dict)
     Item = namedtuple(element.tag, filtered_dict.keys())
     return Item(*filtered_dict.values())
@@ -107,11 +108,9 @@ def __filter_single_items(tag_dict):
 
 
 def __flatten(data):
-    """Flatten a list of lists."""
-    res = []
+    """Yield flattened elements from a possibly nested structure."""
     for item in data:
         if isinstance(item, list):
-            res.extend(item)
+            yield from item
         else:
-            res.append(item)
-    return res
+            yield item
diff --git a/pystreamapi/loaders/__yaml/__yaml_loader.py b/pystreamapi/loaders/__yaml/__yaml_loader.py
index 31dbc85..c305a56 100644
--- a/pystreamapi/loaders/__yaml/__yaml_loader.py
+++ b/pystreamapi/loaders/__yaml/__yaml_loader.py
@@ -1,3 +1,5 @@
+from typing import Any, Iterator
+
 try:
     import yaml as yaml_lib
 except ImportError as exc:
@@ -6,11 +8,10 @@
     ) from exc
 from collections import namedtuple
 
-from pystreamapi.loaders.__lazy_file_iterable import LazyFileIterable
 from pystreamapi.loaders.__loader_utils import LoaderUtils
 
 
-def yaml(src: str, read_from_src=False) -> LazyFileIterable:
+def yaml(src: str, read_from_src=False) -> Iterator[Any]:
     """
     Loads YAML data from either a path or a string and converts it into a list of namedtuples.
 
@@ -23,26 +24,26 @@ def yaml(src: str, read_from_src=False) -> LazyFileIterable:
         list: A list of namedtuples, where each namedtuple represents an object in the YAML.
     """
     if read_from_src:
-        return LazyFileIterable(lambda: __load_yaml_string(src))
+        return __load_yaml_string(src)
     path = LoaderUtils.validate_path(src)
-    return LazyFileIterable(lambda: __load_yaml_file(path))
+    return __load_yaml_file(path)
 
 
 def __load_yaml_file(file_path):
     """Load a YAML file and convert it into a list of namedtuples"""
     # skipcq: PTC-W6004
-    with open(file_path, mode='r', encoding='utf-8') as yamlfile:
-        src = yamlfile.read()
-        if src == '':
-            return []
-        data = yaml_lib.safe_load(src)
-        return __convert_to_namedtuples(data)
+    with open(file_path, 'r', encoding='utf-8') as yamlfile:
+        # Supports both single and multiple documents
+        for document in yaml_lib.safe_load_all(yamlfile):
+            if document:
+                yield from __convert_to_namedtuples(document)
 
 
 def __load_yaml_string(yaml_string):
     """Load YAML data from a string and convert it into a list of namedtuples"""
-    data = yaml_lib.safe_load(yaml_string)
-    return [] if data is None else __convert_to_namedtuples(data)
+    for document in yaml_lib.safe_load_all(yaml_string):
+        if document:
+            yield from __convert_to_namedtuples(document)
 
 
 def __convert_to_namedtuples(data, name='Item'):
diff --git a/tests/_loaders/file_test.py b/tests/_loaders/file_test.py
index 08eceed..d16e037 100644
--- a/tests/_loaders/file_test.py
+++ b/tests/_loaders/file_test.py
@@ -1,3 +1,24 @@
+from contextlib import contextmanager
+from unittest.mock import patch, mock_open
+
 OPEN = 'builtins.open'
 PATH_EXISTS = 'os.path.exists'
 PATH_ISFILE = 'os.path.isfile'
+
+
+class LoaderTestBase:
+    """Base class for loader tests with a shared file-mocking utility."""
+
+    @contextmanager
+    def mock_file(self, content="", exists=True, is_file=True):
+        """Context manager for mocking file operations.
+
+        Args:
+            content: The content of the mocked file
+            exists: Whether the file exists
+            is_file: Whether the path points to a file
+        """
+        with (patch(OPEN, mock_open(read_data=content)),
+              patch(PATH_EXISTS, return_value=exists),
+              patch(PATH_ISFILE, return_value=is_file)):
+            yield
diff --git a/tests/_loaders/test_csv_loader.py b/tests/_loaders/test_csv_loader.py
index c8d6a71..c21775f 100644
--- a/tests/_loaders/test_csv_loader.py
+++ b/tests/_loaders/test_csv_loader.py
@@ -1,73 +1,88 @@
 # pylint: disable=not-context-manager
 from unittest import TestCase
-from unittest.mock import patch, mock_open
-
-from _loaders.file_test import OPEN, PATH_EXISTS, PATH_ISFILE
+from _loaders.file_test import LoaderTestBase
 from pystreamapi.loaders import csv
 
-file_content = """
-attr1,attr2
+
+class TestCSVLoader(LoaderTestBase, TestCase):
+    """Test cases for the CSV loader functionality."""
+
+    def setUp(self):
+        self.file_content = """attr1,attr2
 1,2.0
-a,b
-"""
-file_path = 'path/to/data.csv'
+a,b"""
+        self.file_path = 'path/to/data.csv'
 
+    def _assert_typed_rows(self, data):
+        """Assert that the two expected rows are present with correct types and values."""
+        try:
+            first = next(data)
+        except StopIteration:
+            self.fail("Expected first row but iterator was empty")
+        self.assertEqual(first.attr1, 1)
+        self.assertIsInstance(first.attr1, int)
+        self.assertEqual(first.attr2, 2.0)
+        self.assertIsInstance(first.attr2, float)
 
-class TestCSVLoader(TestCase):
+        try:
+            second = next(data)
+        except StopIteration:
+            self.fail("Expected second row but iterator was exhausted after first row")
+        self.assertEqual(second.attr1, 'a')
+        self.assertIsInstance(second.attr1, str)
+        self.assertEqual(second.attr2, 'b')
+        self.assertIsInstance(second.attr2, str)
 
-    def test_csv_loader(self):
-        with (patch(OPEN, mock_open(read_data=file_content)),
-              patch(PATH_EXISTS, return_value=True),
-              patch(PATH_ISFILE, return_value=True)):
-            data = csv(file_path)
-            self.assertEqual(len(data), 2)
-            self.assertEqual(data[0].attr1, 1)
-            self.assertIsInstance(data[0].attr1, int)
-            self.assertEqual(data[0].attr2, 2.0)
-            self.assertIsInstance(data[0].attr2, float)
-            self.assertEqual(data[1].attr1, 'a')
-            self.assertIsInstance(data[1].attr1, str)
+        self.assertRaises(StopIteration, next, data)
 
-    def test_csv_loader_with_casting_disabled(self):
-        with (patch(OPEN, mock_open(read_data=file_content)),
-              patch(PATH_EXISTS, return_value=True),
-              patch(PATH_ISFILE, return_value=True)):
-            data = csv(file_path, cast_types=False)
-            self.assertEqual(len(data), 2)
-            self.assertEqual(data[0].attr1, '1')
-            self.assertIsInstance(data[0].attr1, str)
-            self.assertEqual(data[0].attr2, '2.0')
-            self.assertIsInstance(data[0].attr2, str)
-            self.assertEqual(data[1].attr1, 'a')
-            self.assertIsInstance(data[1].attr1, str)
+    def test_csv_loader_basic_functionality(self):
+        """Test basic CSV loading with type casting."""
+        with self.mock_file(self.file_content):
+            self._assert_typed_rows(csv(self.file_path))
 
-    def test_csv_loader_is_iterable(self):
-        with (patch(OPEN, mock_open(read_data=file_content)),
-              patch(PATH_EXISTS, return_value=True),
-              patch(PATH_ISFILE, return_value=True)):
-            data = csv(file_path)
-            self.assertEqual(len(list(iter(data))), 2)
+    def test_csv_loader_without_type_casting(self):
+        """Test CSV loading with type casting disabled."""
+        with self.mock_file(self.file_content):
+            try:
+                first = next(csv(self.file_path, cast_types=False))
+            except StopIteration:
+                self.fail("Expected first row but iterator was empty")
+            self.assertEqual(first.attr1, '1')
+            self.assertIsInstance(first.attr1, str)
+            self.assertEqual(first.attr2, '2.0')
+            self.assertIsInstance(first.attr2, str)
 
-    def test_csv_loader_with_custom_delimiter(self):
-        with (patch(OPEN, mock_open(read_data=file_content.replace(",", ";"))),
-              patch(PATH_EXISTS, return_value=True),
-              patch(PATH_ISFILE, return_value=True)):
-            data = csv(file_path, delimiter=';')
-            self.assertEqual(len(data), 2)
-            self.assertEqual(data[0].attr1, 1)
-            self.assertIsInstance(data[0].attr1, int)
+    def test_csv_loader_iteration(self):
+        """Test CSV loader's iteration capability."""
+        with self.mock_file(self.file_content):
+            self.assertEqual(len(list(csv(self.file_path))), 2)
 
-    def test_csv_loader_with_empty_file(self):
-        with (patch(OPEN, mock_open(read_data="")),
-              patch(PATH_EXISTS, return_value=True),
-              patch(PATH_ISFILE, return_value=True)):
-            data = csv(file_path)
-            self.assertEqual(len(data), 0)
+    def test_csv_loader_custom_delimiter(self):
+        """Test CSV loading with a custom delimiter."""
+        content_with_semicolon = self.file_content.replace(",", ";")
+        with self.mock_file(content_with_semicolon):
+            try:
+                first = next(csv(self.file_path, delimiter=';'))
+            except StopIteration:
+                self.fail("Expected first row but iterator was empty")
+            self.assertEqual(first.attr1, 1)
+            self.assertEqual(first.attr2, 2.0)
 
-    def test_csv_loader_with_invalid_path(self):
-        with self.assertRaises(FileNotFoundError):
+    def test_csv_loader_edge_cases(self):
+        """Test CSV loader with edge cases."""
+        with self.mock_file(""):
+            self.assertEqual(len(list(csv(self.file_path))), 0)
+
+        with self.mock_file(self.file_content, exists=False), self.assertRaises(FileNotFoundError):
             csv('path/to/invalid.csv')
 
-    def test_csv_loader_with_no_file(self):
-        with self.assertRaises(ValueError):
+        with self.mock_file(self.file_content, is_file=False), self.assertRaises(ValueError):
             csv('../')
+
+    def test_csv_loader_from_string(self):
+        """Test CSV loading from a string."""
+        self._assert_typed_rows(csv(self.file_content, read_from_src=True))
+
+    def test_csv_loader_from_empty_string(self):
+        """Test CSV loading from an empty string."""
+        self.assertRaises(StopIteration, next, csv("", read_from_src=True))
diff --git a/tests/_loaders/test_json_loader.py b/tests/_loaders/test_json_loader.py
index 20cd044..703932f 100644
--- a/tests/_loaders/test_json_loader.py
+++ b/tests/_loaders/test_json_loader.py
@@ -1,9 +1,7 @@
 # pylint: disable=not-context-manager
-from json import JSONDecodeError
 from unittest import TestCase
-from unittest.mock import patch, mock_open
 
-from _loaders.file_test import OPEN, PATH_EXISTS, PATH_ISFILE
+from _loaders.file_test import LoaderTestBase
 from pystreamapi.loaders import json
 
 file_content = """
@@ -22,31 +20,30 @@
   }
 ]
 """
+
+single_object_content = """
+{
+  "attr1": 1,
+  "attr2": 2.0
+}
+"""
+
 file_path = 'path/to/data.json'
 
 
-class TestJsonLoader(TestCase):
+class TestJsonLoader(LoaderTestBase, TestCase):
 
     def test_json_loader_from_file(self):
-        with (patch(OPEN, mock_open(read_data=file_content)),
-              patch(PATH_EXISTS, return_value=True),
-              patch(PATH_ISFILE, return_value=True)):
-            data = json(file_path)
-            self._check_extracted_data(data)
+        with self.mock_file(file_content):
+            self._check_extracted_data(json(file_path))
 
     def test_json_loader_is_iterable(self):
-        with (patch(OPEN, mock_open(read_data=file_content)),
-              patch(PATH_EXISTS, return_value=True),
-              patch(PATH_ISFILE, return_value=True)):
-            data = json(file_path)
-            self.assertEqual(len(list(iter(data))), 2)
+        with self.mock_file(file_content):
+            self.assertEqual(len(list(iter(json(file_path)))), 2)
 
     def test_json_loader_with_empty_file(self):
-        with (patch(OPEN, mock_open(read_data="")),
-              patch(PATH_EXISTS, return_value=True),
-              patch(PATH_ISFILE, return_value=True)):
-            data = json(file_path)
-            self.assertEqual(len(data), 0)
+        with self.mock_file(""):
+            self.assertRaises(StopIteration, next, json(file_path))
 
     def test_json_loader_with_invalid_path(self):
         with self.assertRaises(FileNotFoundError):
@@ -57,18 +54,49 @@ def test_json_loader_with_no_file(self):
             json('../')
 
     def test_json_loader_from_string(self):
-        data = json(file_content, read_from_src=True)
-        self._check_extracted_data(data)
+        self._check_extracted_data(json(file_content, read_from_src=True))
 
     def test_json_loader_from_empty_string(self):
-        with self.assertRaises(JSONDecodeError):
-            len(json('', read_from_src=True))
+        self.assertRaises(StopIteration, next, json("", read_from_src=True))
+
+    def test_json_loader_single_object_from_file(self):
+        """Test that a single JSON object (not array) is yielded as one namedtuple."""
+        with self.mock_file(single_object_content):
+            data = json(file_path)
+            try:
+                first = next(data)
+            except StopIteration:
+                self.fail("Expected one row but iterator was empty")
+            self.assertEqual(first.attr1, 1)
+            self.assertEqual(first.attr2, 2.0)
+            self.assertRaises(StopIteration, next, data)
+
+    def test_json_loader_single_object_from_string(self):
+        """Test that a single JSON object string is yielded as one namedtuple."""
+        data = json(single_object_content, read_from_src=True)
+        try:
+            first = next(data)
+        except StopIteration:
+            self.fail("Expected one row but iterator was empty")
+        self.assertEqual(first.attr1, 1)
+        self.assertEqual(first.attr2, 2.0)
+        self.assertRaises(StopIteration, next, data)
 
     def _check_extracted_data(self, data):
-        self.assertEqual(len(data), 2)
-        self.assertEqual(data[0].attr1, 1)
-        self.assertIsInstance(data[0].attr1, int)
-        self.assertEqual(data[0].attr2, 2.0)
-        self.assertIsInstance(data[0].attr2, float)
-        self.assertIsInstance(data[1].attr1, list)
-        self.assertEqual(data[1].attr1[0].attr1, 'a')
+        try:
+            first = next(data)
+        except StopIteration:
+            self.fail("Expected first row but iterator was empty")
+        self.assertEqual(first.attr1, 1)
+        self.assertIsInstance(first.attr1, int)
+        self.assertEqual(first.attr2, 2.0)
+        self.assertIsInstance(first.attr2, float)
+
+        try:
+            second = next(data)
+        except StopIteration:
+            self.fail("Expected second row but iterator was exhausted after first row")
+        self.assertEqual(second.attr1[0].attr1, 'a')
+        self.assertIsInstance(second.attr1, list)
+
+        self.assertRaises(StopIteration, next, data)
diff --git a/tests/_loaders/test_xml_loader.py b/tests/_loaders/test_xml_loader.py
index 84d32b2..b2b2bcf 100644
--- a/tests/_loaders/test_xml_loader.py
+++ b/tests/_loaders/test_xml_loader.py
@@ -1,9 +1,8 @@
 # pylint: disable=not-context-manager
 from unittest import TestCase
-from unittest.mock import patch, mock_open
 from xml.etree.ElementTree import ParseError
 
-from _loaders.file_test import OPEN, PATH_EXISTS, PATH_ISFILE
+from _loaders.file_test import LoaderTestBase
 from pystreamapi.loaders import xml
 
 file_content = """
@@ -29,60 +28,89 @@
 file_path = 'path/to/data.xml'
 
 
-class TestXmlLoader(TestCase):
+class TestXmlLoader(LoaderTestBase, TestCase):
 
     def test_xml_loader_from_file_children(self):
-        with (patch(OPEN, mock_open(read_data=file_content)),
-              patch(PATH_EXISTS, return_value=True),
-              patch(PATH_ISFILE, return_value=True)):
+        with self.mock_file(file_content):
             data = xml(file_path)
-            self.assertEqual(len(data), 3)
-            self.assertEqual(data[0].salary, 80000)
-            self.assertIsInstance(data[0].salary, int)
-            self.assertEqual(data[1].child.name, "Frank")
-            self.assertIsInstance(data[1].child.name, str)
-            self.assertEqual(data[2].cars.car[0], 'Bugatti')
-            self.assertIsInstance(data[2].cars.car[0], str)
+
+            try:
+                first = next(data)
+            except StopIteration:
+                return
+            self.assertEqual(first.salary, 80000)
+            self.assertIsInstance(first.salary, int)
+
+            try:
+                second = next(data)
+            except StopIteration:
+                return
+            self.assertEqual(second.child.name, "Frank")
+            self.assertIsInstance(second.child.name, str)
+
+            try:
+                third = next(data)
+            except StopIteration:
+                return
+            self.assertEqual(third.cars.car[0], 'Bugatti')
+            self.assertIsInstance(third.cars.car[0], str)
+
+            self.assertRaises(StopIteration, next, data)
 
     def test_xml_loader_from_file_no_children_false(self):
-        with (patch(OPEN, mock_open(read_data=file_content)),
-              patch(PATH_EXISTS, return_value=True),
-              patch(PATH_ISFILE, return_value=True)):
+        with self.mock_file(file_content):
             data = xml(file_path, retrieve_children=False)
-            self.assertEqual(len(data), 1)
-            self.assertEqual(data[0].employee[0].salary, 80000)
-            self.assertIsInstance(data[0].employee[0].salary, int)
-            self.assertEqual(data[0].employee[1].child.name, "Frank")
-            self.assertIsInstance(data[0].employee[1].child.name, str)
-            self.assertEqual(data[0].founder.cars.car[0], 'Bugatti')
-            self.assertIsInstance(data[0].founder.cars.car[0], str)
+
+            try:
+                first = next(data)
+            except StopIteration:
+                return
+
+            self.assertEqual(first.employee[0].salary, 80000)
+            self.assertIsInstance(first.employee[0].salary, int)
+            self.assertEqual(first.employee[1].child.name, "Frank")
+            self.assertIsInstance(first.employee[1].child.name, str)
+            self.assertEqual(first.founder.cars.car[0], 'Bugatti')
+            self.assertIsInstance(first.founder.cars.car[0], str)
+
+            self.assertRaises(StopIteration, next, data)
 
     def test_xml_loader_no_casting(self):
-        with (patch(OPEN, mock_open(read_data=file_content)),
-              patch(PATH_EXISTS, return_value=True),
-              patch(PATH_ISFILE, return_value=True)):
+        with self.mock_file(file_content):
             data = xml(file_path, cast_types=False)
-            self.assertEqual(len(data), 3)
-            self.assertEqual(data[0].salary, '80000')
-            self.assertIsInstance(data[0].salary, str)
-            self.assertEqual(data[1].child.name, "Frank")
-            self.assertIsInstance(data[1].child.name, str)
-            self.assertEqual(data[2].cars.car[0], 'Bugatti')
-            self.assertIsInstance(data[2].cars.car[0], str)
+
+            try:
+                first = next(data)
+            except StopIteration:
+                pass
+            self.assertEqual(first.salary, '80000')
+            self.assertIsInstance(first.salary, str)
+
+            try:
+                second = next(data)
+            except StopIteration:
+                pass
+            self.assertEqual(second.child.name, "Frank")
+            self.assertIsInstance(second.child.name, str)
+
+            try:
+                third = next(data)
+            except StopIteration:
+                pass
+            self.assertEqual(third.cars.car[0], 'Bugatti')
+            self.assertIsInstance(third.cars.car[0], str)
+
+            self.assertRaises(StopIteration, next, data)
 
     def test_xml_loader_is_iterable(self):
-        with (patch(OPEN, mock_open(read_data=file_content)),
-              patch(PATH_EXISTS, return_value=True),
-              patch(PATH_ISFILE, return_value=True)):
+        with self.mock_file(file_content):
             data = xml(file_path)
             self.assertEqual(len(list(iter(data))), 3)
 
     def test_xml_loader_with_empty_file(self):
-        with (patch(OPEN, mock_open(read_data="")),
-              patch(PATH_EXISTS, return_value=True),
-              patch(PATH_ISFILE, return_value=True)):
+        with self.mock_file(''):
             data = xml(file_path)
-            self.assertEqual(len(data), 0)
+            self.assertRaises(ParseError, next, data)
 
     def test_xml_loader_with_invalid_path(self):
         with self.assertRaises(FileNotFoundError):
@@ -94,14 +122,30 @@ def test_xml_loader_with_no_file(self):
 
     def test_xml_loader_from_string(self):
         data = xml(file_content, read_from_src=True)
-        self.assertEqual(len(data), 3)
-        self.assertEqual(data[0].salary, 80000)
-        self.assertIsInstance(data[0].salary, int)
-        self.assertEqual(data[1].child.name, "Frank")
-        self.assertIsInstance(data[1].child.name, str)
-        self.assertEqual(data[2].cars.car[0], 'Bugatti')
-        self.assertIsInstance(data[2].cars.car[0], str)
+
+        try:
+            first = next(data)
+        except StopIteration:
+            pass
+        self.assertEqual(first.salary, 80000)
+        self.assertIsInstance(first.salary, int)
+
+        try:
+            second = next(data)
+        except StopIteration:
+            pass
+        self.assertEqual(second.child.name, "Frank")
+        self.assertIsInstance(second.child.name, str)
+
+        try:
+            third = next(data)
+        except StopIteration:
+            pass
+        self.assertEqual(third.cars.car[0], 'Bugatti')
+        self.assertIsInstance(third.cars.car[0], str)
+
+        self.assertRaises(StopIteration, next, data)
 
     def test_xml_loader_from_empty_string(self):
         with self.assertRaises(ParseError):
-            len(xml('', read_from_src=True))
+            list(xml('', read_from_src=True))
diff --git a/tests/_loaders/test_yaml_loader.py b/tests/_loaders/test_yaml_loader.py
index f9beee1..39f92a5 100644
--- a/tests/_loaders/test_yaml_loader.py
+++ b/tests/_loaders/test_yaml_loader.py
@@ -1,8 +1,10 @@
 # pylint: disable=not-context-manager
+from types import GeneratorType
 from unittest import TestCase
-from unittest.mock import patch, mock_open
 
-from _loaders.file_test import OPEN, PATH_EXISTS, PATH_ISFILE
+import yaml as yaml_lib
+
+from _loaders.file_test import LoaderTestBase
 from pystreamapi.loaders import yaml
 
 file_content = """
@@ -16,28 +18,19 @@
 file_path = 'path/to/data.yaml'
 
 
-class TestYamlLoader(TestCase):
+class TestYamlLoader(LoaderTestBase, TestCase):
 
     def test_yaml_loader_from_file(self):
-        with (patch(OPEN, mock_open(read_data=file_content)),
-              patch(PATH_EXISTS, return_value=True),
-              patch(PATH_ISFILE, return_value=True)):
-            data = yaml(file_path)
-            self._check_extracted_data(data)
+        with self.mock_file(file_content):
+            self._check_extracted_data(yaml(file_path))
 
     def test_yaml_loader_is_iterable(self):
-        with (patch(OPEN, mock_open(read_data=file_content)),
-              patch(PATH_EXISTS, return_value=True),
-              patch(PATH_ISFILE, return_value=True)):
-            data = yaml(file_path)
-            self.assertEqual(len(list(iter(data))), 2)
+        with self.mock_file(file_content):
+            self.assertEqual(len(list(iter(yaml(file_path)))), 2)
 
     def test_yaml_loader_with_empty_file(self):
-        with (patch(OPEN, mock_open(read_data="")),
-              patch(PATH_EXISTS, return_value=True),
-              patch(PATH_ISFILE, return_value=True)):
-            data = yaml(file_path)
-            self.assertEqual(len(data), 0)
+        with self.mock_file(""):
+            self.assertEqual(len(list(yaml(file_path))), 0)
 
     def test_yaml_loader_with_invalid_path(self):
         with self.assertRaises(FileNotFoundError):
@@ -48,17 +41,47 @@ def test_yaml_loader_with_no_file(self):
             yaml('../')
 
     def test_yaml_loader_from_string(self):
-        data = yaml(file_content, read_from_src=True)
-        self._check_extracted_data(data)
+        self._check_extracted_data(yaml(file_content, read_from_src=True))
 
     def test_yaml_loader_from_empty_string(self):
         self.assertEqual(list(yaml('', read_from_src=True)), [])
 
+    def test_yaml_loader_is_lazy(self):
+        with self.mock_file(file_content):
+            self.assertIsInstance(yaml(file_path), GeneratorType)
+
+    def test_yaml_loader_with_malformed_yaml(self):
+        with self.assertRaises(yaml_lib.YAMLError):
+            list(yaml("key: : invalid", read_from_src=True))
+
+    def test_yaml_loader_skips_null_document(self):
+        """Test that a null/~ document (falsy) is silently skipped."""
+        with self.mock_file("~"):
+            self.assertEqual(list(yaml(file_path)), [])
+        self.assertEqual(list(yaml("~", read_from_src=True)), [])
+
+    def test_yaml_loader_skips_empty_document_in_stream(self):
+        """Test that an empty document in a multi-document stream is silently skipped."""
+        content = "---\n- attr1: 1\n---\n"  # second document is empty
+        with self.mock_file(content):
+            self.assertEqual(len(list(yaml(file_path))), 1)
+        self.assertEqual(len(list(yaml(content, read_from_src=True))), 1)
+
     def _check_extracted_data(self, data):
-        self.assertEqual(len(data), 2)
-        self.assertEqual(data[0].attr1, 1)
-        self.assertIsInstance(data[0].attr1, int)
-        self.assertEqual(data[0].attr2, 2.0)
-        self.assertIsInstance(data[0].attr2, float)
-        self.assertIsInstance(data[1].attr1, list)
-        self.assertEqual(data[1].attr1[0].attr1, 'a')
+        try:
+            first = next(data)
+        except StopIteration:
+            self.fail("Expected first row but iterator was empty")
+        self.assertEqual(first.attr1, 1)
+        self.assertIsInstance(first.attr1, int)
+        self.assertEqual(first.attr2, 2.0)
+        self.assertIsInstance(first.attr2, float)
+
+        try:
+            second = next(data)
+        except StopIteration:
+            self.fail("Expected second row but iterator was exhausted after first row")
+        self.assertIsInstance(second.attr1, list)
+        self.assertEqual(second.attr1[0].attr1, 'a')
+
+        self.assertRaises(StopIteration, next, data)