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TAFFISH is an open bioinformatics tool and workflow ecosystem for building, sharing, and running reproducible analyses with versioned apps, containerized runtime environments, and a lightweight shell-native workflow language.

It sits between ad-hoc shell scripts and heavyweight workflow systems: close enough to the command line for everyday bioinformatics work, but structured enough to make tools, environments, parameters, and workflows reusable.

• Start Here
• What TAFFISH Provides
• Installation
• How TAFFISH Hub Works
• For Users
• For App Developers
• Paper
• Project Status

• The TAFFISH DSL and its taffish compiler, which compile .taf scripts into shell scripts while preserving command-line composability.
• taf, a local package manager and runner for TAFFISH apps.
• Versioned app releases using the version-release form, such as 0.1.0-r1.
• Container-aware execution through Apptainer, Podman, or Docker backends.
• Hub indexing so users can discover, update, install, and inspect apps from a static GitHub-hosted index.
• Flow dependency metadata so taf install can resolve required app versions automatically.
• taf publish --release, backed by ignored release.md drafts for publish messages and GitHub Release notes.
• Runtime mirror configuration for China/Gitee or internal Git service mirrors.
• Installer-managed shell completion files and Vim syntax files for everyday CLI and .taf editing.
• taffish-mcp, a conservative stdio MCP server for safe AI-client access to TAFFISH project, Hub, config, history, resource, prompt, and read-only TAF compiler-helper operations. See the TAFFISH MCP Guide and AI client setup guide.

Install the TAFFISH CLI from taffish/taffish. That repository is the canonical place for current installers, supported platforms, release versions, runtime dependencies, container backend notes, network notes, and troubleshooting.

Quick user install:

curl -fsSL https://raw.githubusercontent.com/taffish/taffish/main/install/install-taffish.sh | sh -s -- --user

System install for shared servers:

curl -fsSL https://raw.githubusercontent.com/taffish/taffish/main/install/install-taffish.sh | sudo sh -s -- --system

For users in China, the Gitee installer downloads from the Gitee mirror and can initialize the China mirror profile:

curl -fsSL https://gitee.com/taffish-org/taffish/raw/main/install/install-taffish.gitee.sh | sh -s -- --user

China/Gitee system install:

curl -fsSL https://gitee.com/taffish-org/taffish/raw/main/install/install-taffish.gitee.sh | sudo sh -s -- --system

China/Gitee note: the Gitee mirror is provided for environments where GitHub raw content is slow or blocked. Some mirror services may restrict anonymous raw downloads of large files, especially for larger macOS binaries. If the Gitee installer cannot fetch a binary, use the GitHub installer with a working network/proxy, download manually after logging in to the mirror, or check the current notes in the taffish/taffish README.

After taf is available locally, the usual starting point is:

taf doctor
taf update
taf search <keyword>
taf install <app>
taf info <app>
taf list

For a pinned release install, platform-specific requirements, Gitee/macOS notes, offline installation, shell completion, Vim syntax files, and detailed troubleshooting, use the current taffish/taffish README.

Persistent mirror configuration can be initialized with:

taf config init --china --force
taf update

Runtime config can change the index URL used by taf update and rewrite canonical GitHub app repository URLs during taf install, which makes Gitee or internal Git service mirrors possible without changing the official index schema.

For a guided first run, read the TAFFISH Quick Start.

TAFFISH Hub is currently GitHub-based.

1. Each app lives in its own repository with a root taffish.toml.
2. App repositories publish release tags such as v0.1.0-r1.
3. App repositories build container images in their own GitHub Actions workflows.
4. taffish-index scans the organization and writes static JSON index files.
5. Users run taf update, then install and run apps locally through taf.

The public web Hub at taffish.github.io is the human-facing browser for this ecosystem. The index repository is the machine-facing data source.

Use TAFFISH Hub to browse available apps and use taf locally to install and run them. For installation, CLI behavior, .taf syntax, container usage, and troubleshooting, read taffish/taffish-docs.

TAFFISH app projects are structured repositories with taffish.toml, src/main.taf, docs/help.md, target/ build artifacts, versioned release tags, and optional metadata for dependencies, platform constraints, containers, and upstream software sources.

The official Hub is curated by the taffish organization. At the moment, publishing to the official Hub is limited to organization members. Developers who want to contribute apps can contact the maintainer to discuss joining the organization or publishing strategy.

The TAFFISH project is described in the bioRxiv preprint:

TAFFISH: A lightweight, modular, and containerized workflow framework for reproducible bioinformatics analyses

Authors: Kaiyuan Han, Ting Wang, Shi-Shi Yuan, Cai-Yi Ma, Wei Su, Kejun Deng, Xiaolong Li, Hao Lv, and Hao Lin.

TAFFISH is under active development. The current public infrastructure is built around GitHub repositories, GitHub Actions, GitHub Packages, GitHub Pages, and a static package index. A dedicated server-backed Hub may become useful later, but the current design intentionally keeps the publishing and indexing path simple, auditable, and easy to reproduce.