LibreAI / Dev Tools / fallow
// devtools · fallow-rs/fallow

fallow

Codebase intelligence for TypeScript/JavaScript — health, duplication, dead code and architecture.

★ 5.0k stars⑂ 171 forksMITupdated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

fallow is an open-source dev tools project by fallow-rs (fallow-rs/fallow on GitHub). It has 5,022 GitHub stars and 171 forks, is released under the MIT license, and was last updated on GitHub on 8 October 2026.

GitHub stars
5,022
Forks
171
License
MIT
Last updated on GitHub
8 October 2026
Category
Dev Tools
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Clarify your codebase concern

    Pick your pain: dead code, growing complexity, duplication, or architecture drift in a TS/JS repo.

  2. Run Fallow once

    Run npx fallow in your repository for a combined health, duplication and unused-code report.

  3. Adopt it in your workflow

    Add it as a dev dependency, install git hooks, or add the GitHub Action in report-only mode first.

  4. Act on the first findings

    Audit only what your change introduces, preview auto-fixes with fallow fix --dry-run, and prove exports unused before deleting them.

// features

Why people love it

One graph, many analyses

Health scores, complexity hotspots, duplication, circular dependencies, architecture boundaries, design-system drift and unused code from a single codebase graph.

Change-scoped audits

fallow audit reports only the findings your change introduces — ideal as a pull-request gate that never blames you for legacy issues.

Auto-fixes and proof

fallow fix removes fixable issues (dry-run first), and dead-code --trace proves an export is unused before you delete it.

Everywhere you work

Ships as a CLI, GitHub Action, GitLab CI support, an LSP, an MCP server and a VS Code extension.

Deterministic, no AI

The analyzer contains no AI: the same input always gives the same output with stable fingerprints, and rule severities (error/warn/off) are configurable.

Agent setup command

fallow agent install wires detected agents (Claude Code, Codex, Cursor) with an AGENTS.md task map, skills, the MCP server and commit/push gates.

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// run it

Run it yourself

  1. Clone the repository

    Clone Fallow if you want the source; most users run it via npx.

    git clone https://github.com/fallow-rs/fallow.git
    cd fallow
  2. Run your first analysis

    Run the full health, duplication and unused-code pass in any TypeScript/JavaScript repo.

    npx fallow
  3. Audit and fix

    Audit just your recent changes, then preview the available auto-fixes.

    npx fallow audit --base HEAD~15
    npx fallow fix --dry-run
// use cases

What you can build

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// faq

Questions, answered

Who maintains Fallow?

Fallow is maintained by fallow-rs, with documentation at docs.fallow.tools.

Is Fallow free?

Yes — it is open source under the MIT license (the README describes it as Rust, MIT licensed).

Does it need a paid API key?

No. Fallow is a local static analyzer with no AI inside; it runs entirely on your machine or CI.

How does it compare to ESLint or knip?

ESLint lints style and local rules and knip focuses on unused files/exports; Fallow builds one graph across the codebase to combine health, duplication, architecture, drift and dead-code analysis with change-scoped audits.

How do I get started?

Run npx fallow in your repo, read the report, then adopt the GitHub Action in report-only mode.

// keep exploring

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// alternatives

Alternatives in Dev Tools

The most-starred other Dev Tools projects in the LibreAI catalogue — the realistic shortlist if fallow is not the right fit.

Get fallow

Free and open — grab the source, star the repo, and start creating.