head to head · open source

vllm vs taipy

vllm has 92,028 GitHub stars, 22,335 forks, 7,953 open issues and last shipped yesterday. taipy has 19,436 stars, 1,993 forks, 225 open issues and last shipped 1 months ago. vllm leads on adoption by 373% (92,028 vs 19,436 stars). vllm is written in Python under Apache-2.0; taipy is written in Python under Apache-2.0. vllm has attracted 24% as many forks as stars, taipy 10%. 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.

vllm ★ 92K taipy ★ 19K category AI & Machine Learning

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Side by side

vllm taipy
GitHub stars ★ 92K ★ 19K
License Apache-2.0 Apache-2.0
Written in Python Python
Last push 2026-09-17 2026-08-10
Forks ⑂ 22K ⑂ 2.0K
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

full vllm profile →

pick taipy if

  • You want the taipy 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 taipy fits your workflow better

full taipy profile →

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.

read the full vllm overview →

About taipy

Taipy is an open source Python library and ecosystem for building data and AI driven web applications. It is designed for data scientists and machine learning engineers who want to turn data and AI algorithms into production ready web applications, and it lives in the Python ecosystem under the Apache 2.0 license. The project is maintained by Avaiga Private Limited and has been developed over roughly five years, with the repository showing 19,435 stars, 1,993 forks, and 225 open issues at the time of writing.

read the full taipy overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

Related comparisons

ollama vs vllm llama-cpp vs vllm ollama vs llama-cpp ollama vs gpt4all ollama vs llama-index ollama vs localai ollama vs pageindex ollama vs langfuse openclaw vs hermes-agent openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm openclaw vs cherry-studio openclaw vs nanobot openclaw vs jan openclaw vs librechat dify vs langchain dify vs ponytail langchain vs ponytail dify vs graphify langchain vs graphify ponytail vs graphify dify vs claude-mem dify vs ragflow

More Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

vllm vs Ollama vllm vs llama.cpp vllm vs GPT4All vllm vs llama_index vllm vs LocalAI vllm vs PageIndex vllm vs Langfuse vllm vs cognee vllm vs dagster vllm vs zvec vllm vs langchain4j vllm vs txtai

Frequently asked questions

Is vllm or taipy more popular?

vllm has 92,028 GitHub stars and taipy has 19,436. vllm has the larger community by that measure.

Are vllm and taipy free?

Both are open source. vllm is licensed under Apache-2.0 and taipy under Apache-2.0. Neither carries a licence fee.

What is the difference between vllm and taipy?

vllm is written in Python and taipy 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 taipy?

Choose vllm if you want the larger community (92,028 stars) or its Apache-2.0 licence terms. Choose taipy if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.