head to head · open source
vllm vs datachain
vllm has 96,158 GitHub stars, 24,317 forks, 7,953 open issues and last shipped yesterday. datachain has 2,830 stars, 178 forks, 101 open issues and last shipped yesterday. vllm leads on adoption by 3,298% (96,158 vs 2,830 stars). vllm is written in Python under Apache-2.0; datachain is written in Python under Apache-2.0. vllm has attracted 25% as many forks as stars, datachain 6%. datachain 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.
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Side by side
| vllm | datachain | |
|---|---|---|
| GitHub stars | ★ 96K | ★ 2.8K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 24K | ⑂ 178 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick vllm if
- You weight community size — 96K 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 datachain if
- You want the datachain feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and datachain fits your workflow better
About vllm
Easy, fast, and cheap LLM serving for everyone 🔥 We have built a vLLM website to help you get started with vLLM. Please visit vllm.ai to learn more. For events, please visit vllm.ai/events to join us. About vLLM is a fast and easy to use library for LLM inference and serving. Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has grown into one of the most active open source AI projects built and maintained by a diverse community of many dozens of academic institutions and companies from over 2000 contributors. vLLM is fast with: State of the art serving throughput Efficient management of…
About datachain
DataChain: The Context Layer for Unstructured Data A Python library that turns files in S3, GCS, and Azure into versioned, typed datasets, queryable at warehouse speed. Compute Engine : parallel Python over files, distributed on Studio. Async I/O, checkpoint recovery, incremental updates. Dataset DB : Pydantic schemas, versioning, file pointers, automatic lineage. Sub second filter, join, and group by over millions of typed records locally, hundreds of millions on Studio. Vector search over the same rows, no separate store. Optional, for agent workflows: Knowledge Base : markdown summaries derived from the…
read the full datachain overview →
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Frequently asked questions
Is vllm or datachain more popular?
vllm has 96,158 GitHub stars and datachain has 2,830. vllm has the larger community by that measure.
Are vllm and datachain free?
Both are open source. vllm is licensed under Apache-2.0 and datachain under Apache-2.0. Neither carries a licence fee.
What is the difference between vllm and datachain?
vllm is written in Python and datachain 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, vllm or datachain?
Choose vllm if you want the larger community (96,158 stars) or its Apache-2.0 licence terms. Choose datachain if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.