head to head · open source

headroom vs ChainForge

headroom has 78,773 GitHub stars, 6,155 forks, 643 open issues and last shipped yesterday. ChainForge has 3,040 stars, 260 forks, 71 open issues and last shipped 7 days ago. headroom leads on adoption by 2,491% (78,773 vs 3,040 stars). headroom is written in Python under Apache-2.0; ChainForge is written in TypeScript under MIT. headroom has attracted 8% as many forks as stars, ChainForge 9%. headroom was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

headroom ★ 79K ChainForge ★ 3.0K category AI & Machine Learning

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Side by side

headroom ChainForge
GitHub stars ★ 79K ★ 3.0K
License Apache-2.0 MIT
Written in Python TypeScript
Last push 2026-11-04 2026-10-29
Forks ⑂ 6.2K ⑂ 260
Self-hosting Yes Yes
Data ownership Your server Your server

pick headroom if

  • You weight community size — 79K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full headroom profile →

pick ChainForge if

  • You want the ChainForge feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches TypeScript
  • You evaluated both and ChainForge fits your workflow better

full ChainForge profile →

About headroom

Quickstart · Install · Proof · Agents · Docs · Discord · llms.txt AI agents / LLMs: read /llms.txt here, or fetch the live index · full docs blob . Headroom compresses everything your AI agent reads — tool outputs, logs, RAG chunks, files, and conversation history — before it reaches the LLM. Same answers, fraction of the tokens. Compression runs on your machine; no prompt or file content is sent anywhere to be compressed. 10,144 → 1,260 tokens. The same FATAL found. What it does Library — compress(messages) in Python or TypeScript, inline in any app. Proxy — headroom proxy port 8787 , zero code changes, any…

read the full headroom overview →

About ChainForge

⛓️🛠️ ChainForge An open source visual environment for battle testing prompts to LLMs. ChainForge is a data flow prompt engineering environment for analyzing and evaluating LLM responses. It enables rapid fire, quick and dirty comparison of prompts, models, and response quality that goes beyond ad hoc chatting with individual LLMs. With ChainForge, you can: Query multiple LLMs at once to test prompt ideas and variations quickly and effectively. Compare response quality across prompt permutations, across models, and across model settings to choose the best prompt and model for your use case. Setup evaluation…

read the full ChainForge overview →

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Frequently asked questions

Is headroom or ChainForge more popular?

headroom has 78,773 GitHub stars and ChainForge has 3,040. headroom has the larger community by that measure.

Are headroom and ChainForge free?

Both are open source. headroom is licensed under Apache-2.0 and ChainForge under MIT. Neither carries a licence fee.

What is the difference between headroom and ChainForge?

headroom is written in Python and ChainForge in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, headroom or ChainForge?

Choose headroom if you want the larger community (78,773 stars) or its Apache-2.0 licence terms. Choose ChainForge if its feature set, stack or MIT licence fits better. Both are self-hostable.