head to head · open source
vllm vs paradedb
vllm has 96,158 GitHub stars, 24,317 forks, 7,953 open issues and last shipped yesterday. paradedb has 9,473 stars, 496 forks, 193 open issues and last shipped yesterday. vllm leads on adoption by 915% (96,158 vs 9,473 stars). vllm is written in Python under Apache-2.0; paradedb is written in Rust under AGPL-3.0. vllm has attracted 25% as many forks as stars, paradedb 5%. 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 | paradedb | |
|---|---|---|
| GitHub stars | ★ 96K | ★ 9.5K |
| License | Apache-2.0 | AGPL-3.0 |
| Written in | Python | Rust |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 24K | ⑂ 496 |
| 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 paradedb if
- You want the paradedb feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches Rust
- You evaluated both and paradedb 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 paradedb
Search without a second system. One Postgres for your application data, full text search, vector retrieval, and aggregations. Website • Docs • Community • Blog • Changelog Installation To install ParadeDB locally in a fresh Docker container and drop straight into a psql session: When you're ready to deploy, check out our hosting options. What is ParadeDB? ParadeDB upgrades Postgres with a custom index for fast full text and vector search, BM25 scoring, filtering, and aggregations. Your application data and search engine live in one database, with no second system to deploy and nothing to…
read the full paradedb overview →
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Frequently asked questions
Is vllm or paradedb more popular?
vllm has 96,158 GitHub stars and paradedb has 9,473. vllm has the larger community by that measure.
Are vllm and paradedb free?
Both are open source. vllm is licensed under Apache-2.0 and paradedb under AGPL-3.0. Neither carries a licence fee.
What is the difference between vllm and paradedb?
vllm is written in Python and paradedb 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 paradedb?
Choose vllm if you want the larger community (96,158 stars) or its Apache-2.0 licence terms. Choose paradedb if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.