head to head · open source
vllm vs MineContext
vllm has 96,158 GitHub stars, 24,317 forks, 7,953 open issues and last shipped yesterday. MineContext has 5,541 stars, 413 forks, 121 open issues and last shipped 6 months ago. vllm leads on adoption by 1,635% (96,158 vs 5,541 stars). vllm is written in Python under Apache-2.0; MineContext is written in Python under Apache-2.0. vllm has attracted 25% as many forks as stars, MineContext 7%. vllm 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 | MineContext | |
|---|---|---|
| GitHub stars | ★ 96K | ★ 5.5K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-05-07 |
| Forks | ⑂ 24K | ⑂ 413 |
| 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 MineContext if
- You want the MineContext 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 MineContext 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 MineContext
MineContext: Create with Context, Clarity from Chaos An open source, proactive context aware AI partner, dedicated to bringing clarity and efficiency to your work, study and creation. 中文 / English Community Best Practice · Report Issues · Feedback [![][release shield]][release link] [![][github stars shield]][github stars link] [![][github issues shield]][github issues shield link] [![][github contributors shield]][github contributors link] [![][license shield]][license shield link] [![][last commit shield]][last commit shield link] [![][wechat shield]][wechat shield link] 👋 Join our WeChat / Lark / Red Note…
read the full MineContext overview →
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Frequently asked questions
Is vllm or MineContext more popular?
vllm has 96,158 GitHub stars and MineContext has 5,541. vllm has the larger community by that measure.
Are vllm and MineContext free?
Both are open source. vllm is licensed under Apache-2.0 and MineContext under Apache-2.0. Neither carries a licence fee.
What is the difference between vllm and MineContext?
vllm is written in Python and MineContext 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 MineContext?
Choose vllm if you want the larger community (96,158 stars) or its Apache-2.0 licence terms. Choose MineContext if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.