head to head · open source
vllm vs envd
vllm has 96,158 GitHub stars, 24,317 forks, 7,953 open issues and last shipped yesterday. envd has 2,242 stars, 169 forks, 139 open issues and last shipped yesterday. vllm leads on adoption by 4,189% (96,158 vs 2,242 stars). vllm is written in Python under Apache-2.0; envd is written in Go under Apache-2.0. vllm has attracted 25% as many forks as stars, envd 8%. 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.
← all 20902 open source comparisons
Side by side
| vllm | envd | |
|---|---|---|
| GitHub stars | ★ 96K | ★ 2.2K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Go |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 24K | ⑂ 169 |
| 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 envd if
- You want the envd feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Go
- You evaluated both and envd 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 envd
Development environment for AI/ML What is envd? envd ( ɪnˈvdɪ ) is a command line tool that helps you create the container based development environment for AI/ML. Creating development environments is not easy, especially with today's complex systems and dependencies. With everything from Python to CUDA, BASH scripts, and Dockerfiles constantly breaking, it can feel like a nightmare until now! Instantly get your environment running exactly as you need with a simple declaration of the packages you seek in build.envd and just one command: envd up ! Why use envd ? Environments built with envd provide the following…
More in AI & Machine Learning
Related comparisons
More Machine Learning Infrastructure projects
Compare either of these against the rest of the Machine Learning Infrastructure field.
Frequently asked questions
Is vllm or envd more popular?
vllm has 96,158 GitHub stars and envd has 2,242. vllm has the larger community by that measure.
Are vllm and envd free?
Both are open source. vllm is licensed under Apache-2.0 and envd under Apache-2.0. Neither carries a licence fee.
What is the difference between vllm and envd?
vllm is written in Python and envd in Go. 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 envd?
Choose vllm if you want the larger community (96,158 stars) or its Apache-2.0 licence terms. Choose envd if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.