head to head · open source
vllm vs next-plaid
vllm has 96,158 GitHub stars, 24,317 forks, 7,953 open issues and last shipped yesterday. next-plaid has 608 stars, 67 forks, 29 open issues and last shipped 24 days ago. vllm leads on adoption by 15,715% (96,158 vs 608 stars). vllm is written in Python under Apache-2.0; next-plaid is written in Rust under Apache-2.0. vllm has attracted 25% as many forks as stars, next-plaid 11%. 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 | next-plaid | |
|---|---|---|
| GitHub stars | ★ 96K | ★ 608 |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Rust |
| Last push | 2026-11-02 | 2026-10-10 |
| Forks | ⑂ 24K | ⑂ 67 |
| 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 next-plaid if
- You want the next-plaid feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Rust
- You evaluated both and next-plaid 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 next-plaid
NextPlaid & ColGREP NextPlaid is a multi vector search engine. ColGREP is semantic code search, built on it. ColGREP · NextPlaid · Models ColGREP Semantic code search for your terminal and your coding agents. Searches combine regex filtering with semantic ranking. All local, your code never leaves your machine. Quick start Install: Build the index: Search: That's it. No server, no API, no dependencies. ColGREP is a single Rust binary with everything baked in. colgrep init builds the index for the first time. After that, every search detects file changes and updates the index automatically before returning…
read the full next-plaid overview →
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Frequently asked questions
Is vllm or next-plaid more popular?
vllm has 96,158 GitHub stars and next-plaid has 608. vllm has the larger community by that measure.
Are vllm and next-plaid free?
Both are open source. vllm is licensed under Apache-2.0 and next-plaid under Apache-2.0. Neither carries a licence fee.
What is the difference between vllm and next-plaid?
vllm is written in Python and next-plaid 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, vllm or next-plaid?
Choose vllm if you want the larger community (96,158 stars) or its Apache-2.0 licence terms. Choose next-plaid if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.