head to head · open source
langchain vs pyspur
langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. pyspur has 5,796 stars, 425 forks, 41 open issues and last shipped 4 months ago. langchain leads on adoption by 2,469% (148,892 vs 5,796 stars). langchain is written in Python under MIT; pyspur is written in TypeScript under Apache-2.0. langchain has attracted 17% as many forks as stars, pyspur 7%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (agents, ai, framework, gemini), 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
| langchain | pyspur | |
|---|---|---|
| GitHub stars | ★ 149K | ★ 5.8K |
| License | MIT | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-06-29 |
| Forks | ⑂ 25K | ⑂ 425 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick langchain if
- You weight community size — 149K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick pyspur if
- You want the pyspur feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and pyspur fits your workflow better
About langchain
The agent engineering platform. LangChain is a framework for building agents and LLM powered applications. It helps you chain together interoperable components and third party integrations to simplify AI application development — all while future proofing decisions as the underlying technology evolves. [!TIP] Just getting started? Check out Deep Agents — a higher level package built on LangChain for agents that have built in capabilities for common usage patterns such as planning, subagents, file system usage, and more. Quickstart If you're looking for more advanced customization or agent orchestration, check…
read the full langchain overview →
About pyspur
Iterate over your agents 10x faster. AI engineers use PySpur to iterate over AI agents visually without reinventing the wheel. 🕸️ Why PySpur? Problem: It takes a 1,000 tiny paper cuts to make AI reliable AI engineers today face three problems of building agents: Prompt Hell : Hours of prompt tweaking and trial and error frustration. Workflow Blindspots : Lack of visibility into step interactions causing hidden failures and confusion. Terminal Testing Nightmare Squinting at raw outputs and manually parsing JSON. We've been there ourselves, too. We launched a graphic design agent early 2024 and quickly reached…
read the full pyspur overview →
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Frequently asked questions
Is langchain or pyspur more popular?
langchain has 148,892 GitHub stars and pyspur has 5,796. langchain has the larger community by that measure.
Are langchain and pyspur free?
Both are open source. langchain is licensed under MIT and pyspur under Apache-2.0. Neither carries a licence fee.
What is the difference between langchain and pyspur?
langchain is written in Python and pyspur 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, langchain or pyspur?
Choose langchain if you want the larger community (148,892 stars) or its MIT licence terms. Choose pyspur if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.