head to head · open source
headroom vs promptflow
headroom has 73,130 GitHub stars, 5,624 forks, 643 open issues and last shipped yesterday. promptflow has 11,245 stars, 1,123 forks, 69 open issues and last shipped 25 days ago. headroom leads on adoption by 550% (73,130 vs 11,245 stars). headroom is written in Python under Apache-2.0; promptflow is written in Python under MIT. headroom has attracted 8% as many forks as stars, promptflow 10%. headroom was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, 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 | promptflow | |
|---|---|---|
| GitHub stars | ★ 73K | ★ 11K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-09-19 | 2026-08-26 |
| Forks | ⑂ 5.6K | ⑂ 1.1K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick headroom if
- You weight community size — 73K 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 promptflow if
- You want the promptflow feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and promptflow fits your workflow better
About headroom
Headroom is an Apache 2.0 Python library, local proxy, agent wrapper and MCP server that compresses tool outputs, logs, files, RAG chunks and conversation history before they reach an LLM, and it is built for developers running AI coding agents or LLM applications who want to cut token usage without changing the answers they get.
read the full headroom overview →
About promptflow
Prompt flow is a Microsoft developed, MIT licensed suite of Python development tools that streamlines the end to end lifecycle of LLM based AI applications — ideation, prototyping, testing, evaluation, production deployment and monitoring — for developers and teams who need prompt driven apps to reach production quality rather than stay in a notebook.
read the full promptflow overview →
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Frequently asked questions
Is headroom or promptflow more popular?
headroom has 73,130 GitHub stars and promptflow has 11,245. headroom has the larger community by that measure.
Are headroom and promptflow free?
Both are open source. headroom is licensed under Apache-2.0 and promptflow under MIT. Neither carries a licence fee.
What is the difference between headroom and promptflow?
headroom is written in Python and promptflow 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 promptflow?
Choose headroom if you want the larger community (73,130 stars) or its Apache-2.0 licence terms. Choose promptflow if its feature set, stack or MIT licence fits better. Both are self-hostable.