head to head · open source
vllm vs InferenceX
vllm has 92,028 GitHub stars, 22,335 forks, 7,953 open issues and last shipped yesterday. InferenceX has 1,718 stars, 299 forks, 254 open issues and last shipped yesterday. vllm leads on adoption by 5,257% (92,028 vs 1,718 stars). vllm is written in Python under Apache-2.0; InferenceX is written in Python under Apache-2.0. vllm has attracted 24% as many forks as stars, InferenceX 17%. vllm was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 6 topic tags (amd, cuda, deepseek, inference), 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 | InferenceX | |
|---|---|---|
| GitHub stars | ★ 92K | ★ 1.7K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 22K | ⑂ 299 |
| 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 InferenceX if
- You want the InferenceX 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 InferenceX 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 InferenceX
InferenceX is an open source continuous inference benchmark research platform written in Python under the Apache 2.0 license. It lives in the machine learning infrastructure ecosystem, where teams evaluate large language model serving frameworks and accelerator systems. Formerly named InferenceMAX, the project maintains a public dashboard and a benchmark repository that track performance as inference software and hardware change.
read the full InferenceX overview →
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Frequently asked questions
Is vllm or InferenceX more popular?
vllm has 92,028 GitHub stars and InferenceX has 1,718. vllm has the larger community by that measure.
Are vllm and InferenceX free?
Both are open source. vllm is licensed under Apache-2.0 and InferenceX under Apache-2.0. Neither carries a licence fee.
What is the difference between vllm and InferenceX?
vllm is written in Python and InferenceX 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 InferenceX?
Choose vllm if you want the larger community (92,028 stars) or its Apache-2.0 licence terms. Choose InferenceX if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.