head to head · open source
headroom vs edsl
headroom has 79,469 GitHub stars, 6,219 forks, 643 open issues and last shipped yesterday. edsl has 519 stars, 91 forks, 62 open issues and last shipped yesterday. headroom leads on adoption by 15,212% (79,469 vs 519 stars). headroom is written in Python under Apache-2.0; edsl is written in Python under MIT. headroom has attracted 8% as many forks as stars, edsl 18%. edsl was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (anthropic, llm), 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.
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Side by side
| headroom | edsl | |
|---|---|---|
| GitHub stars | ★ 79K | ★ 519 |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-12 | 2026-11-12 |
| Forks | ⑂ 6.2K | ⑂ 91 |
| 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
pick edsl if
- You want the edsl feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and edsl fits your workflow better
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 edsl
Expected Parrot Domain Specific Language (EDSL) EDSL makes it easy to conduct computational social science and market research with AI. Use it to design and run surveys and experiments with many AI agents and large language models at once, or to perform complex data labeling and other research tasks. Results are formatted as specified datasets that can be replicated at no cost, and come with built in methods for analysis, visualization and collaboration. Getting started 1. Run pip install edsl to install the package. See instructions . 2. Create an account to run surveys at the Expected Parrot server and access…
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Frequently asked questions
Is headroom or edsl more popular?
headroom has 79,469 GitHub stars and edsl has 519. headroom has the larger community by that measure.
Are headroom and edsl free?
Both are open source. headroom is licensed under Apache-2.0 and edsl under MIT. Neither carries a licence fee.
What is the difference between headroom and edsl?
headroom is written in Python and edsl in Python. 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 edsl?
Choose headroom if you want the larger community (79,469 stars) or its Apache-2.0 licence terms. Choose edsl if its feature set, stack or MIT licence fits better. Both are self-hostable.