head to head · open source

vllm vs dagster

vllm has 92,055 GitHub stars, 22,349 forks, 7,953 open issues and last shipped today. dagster has 16,168 stars, 2,294 forks, 2,589 open issues and last shipped today. vllm leads on adoption by 469% (92,055 vs 16,168 stars). vllm is written in Python under Apache-2.0; dagster is written in Python under Apache-2.0. vllm has attracted 24% as many forks as stars, dagster 14%. 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 dagster ★ 16K category AI & Machine Learning

← all 8884 open source comparisons

Side by side

vllm dagster
GitHub stars ★ 92K ★ 16K
License Apache-2.0 Apache-2.0
Written in Python Python
Last push 2026-09-18 2026-09-18
Forks ⑂ 22K ⑂ 2.3K
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 dagster if

  • You want the dagster 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 dagster fits your workflow better

full dagster 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 dagster

Dagster is a cloud native data pipeline orchestrator written in Python and released under the Apache 2.0 licence, built for data engineers, data scientists, and machine learning teams who declare the tables, data sets, models, and reports their pipelines should produce and need those assets tested, observable, and kept up to date from local development through production.

read the full dagster overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K 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 taipy vllm vs zvec vllm vs langchain4j vllm vs txtai

Frequently asked questions

Is vllm or dagster more popular?

vllm has 92,055 GitHub stars and dagster has 16,168. vllm has the larger community by that measure.

Are vllm and dagster free?

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

What is the difference between vllm and dagster?

vllm is written in Python and dagster 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 dagster?

Choose vllm if you want the larger community (92,055 stars) or its Apache-2.0 licence terms. Choose dagster if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.