head to head · open source
langchain vs xberg
langchain has 146,562 GitHub stars, 24,508 forks, 492 open issues and last shipped today. xberg has 9,321 stars, 585 forks, 9 open issues and last shipped yesterday. langchain leads on adoption by 1,472% (146,562 vs 9,321 stars). langchain is written in Python under MIT; xberg is written in Rust under MIT. langchain has attracted 17% as many forks as stars, xberg 6%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 8884 open source comparisons
Side by side
| langchain | xberg | |
|---|---|---|
| GitHub stars | ★ 147K | ★ 9.3K |
| License | MIT | MIT |
| Written in | Python | Rust |
| Last push | 2026-09-18 | 2026-09-17 |
| Forks | ⑂ 25K | ⑂ 585 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick langchain if
- You weight community size — 147K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick xberg if
- You want the xberg feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Rust
- You evaluated both and xberg fits your workflow better
About langchain
LangChain is an open source framework for building agents and LLM powered applications, written in Python and released under the MIT license. It lives in the AI and machine learning ecosystem, specifically among AI development platforms, and it works by chaining together interoperable components and third party integrations so that AI application development becomes simpler. The project describes itself as the agent engineering platform, and its abstractions are designed to keep applications working as the underlying technology evolves.
read the full langchain overview →
About xberg
Xberg is a Rust core document intelligence engine that extracts text, metadata, images, tables, and structured data from documents, images, audio, archives, URLs, and source trees, and it is built for developers and data teams who want one extraction core instead of a pipeline stitched together from many libraries.
read the full xberg overview →
More in AI & Machine Learning
Related comparisons
More AI Development Platforms projects
Compare either of these against the rest of the AI Development Platforms field.
Frequently asked questions
Is langchain or xberg more popular?
langchain has 146,562 GitHub stars and xberg has 9,321. langchain has the larger community by that measure.
Are langchain and xberg free?
Both are open source. langchain is licensed under MIT and xberg under MIT. Neither carries a licence fee.
What is the difference between langchain and xberg?
langchain is written in Python and xberg in Rust. 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 xberg?
Choose langchain if you want the larger community (146,562 stars) or its MIT licence terms. Choose xberg if its feature set, stack or MIT licence fits better. Both are self-hostable.