head to head · open source
vllm vs FastDeploy
vllm has 92,028 GitHub stars, 22,335 forks, 7,953 open issues and last shipped yesterday. FastDeploy has 3,716 stars, 756 forks, 649 open issues and last shipped 23 days ago. vllm leads on adoption by 2,377% (92,028 vs 3,716 stars). vllm is written in Python under Apache-2.0; FastDeploy is written in Python under Apache-2.0. vllm has attracted 24% as many forks as stars, FastDeploy 20%. vllm was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (inference, llm, llm-serving), so they are genuine substitutes rather than adjacent tools.
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 | FastDeploy | |
|---|---|---|
| GitHub stars | ★ 92K | ★ 3.7K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2026-08-26 |
| Forks | ⑂ 22K | ⑂ 756 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick vllm if
- You weight community size — 92K 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 FastDeploy if
- You want the FastDeploy 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 FastDeploy fits your workflow better
About vllm
vLLM is a high throughput, memory efficient Python library for LLM inference and serving, built for ML engineers and platform teams who need to run open weight models on their own hardware at production scale.
About FastDeploy
FastDeploy is a Python inference and deployment toolkit for large language models and vision language models in the PaddlePaddle ecosystem. It serves models such as ERNIE, ERNIE 4.5, ERNIE 4.5 VL, DeepSeek V3, Qwen3 MoE, Qwen3 VL, and PaddleOCR VL 0.9B on accelerators.
read the full FastDeploy overview →
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Frequently asked questions
Is vllm or FastDeploy more popular?
vllm has 92,028 GitHub stars and FastDeploy has 3,716. vllm has the larger community by that measure.
Are vllm and FastDeploy free?
Both are open source. vllm is licensed under Apache-2.0 and FastDeploy under Apache-2.0. Neither carries a licence fee.
What is the difference between vllm and FastDeploy?
vllm is written in Python and FastDeploy 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 FastDeploy?
Choose vllm if you want the larger community (92,028 stars) or its Apache-2.0 licence terms. Choose FastDeploy if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.