head to head · open source

Ollama vs dagster

Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. dagster has 16,364 stars, 2,395 forks, 2,589 open issues and last shipped 4 days ago. Ollama leads on adoption by 1,035% (185,702 vs 16,364 stars). Ollama is written in Go under MIT; dagster is written in Python under Apache-2.0. Ollama has attracted 10% as many forks as stars, dagster 15%. Ollama 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.

Ollama ★ 186K dagster ★ 16K category AI & Machine Learning

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Side by side

Ollama dagster
GitHub stars ★ 186K ★ 16K
License MIT Apache-2.0
Written in Go Python
Last push 2026-11-02 2026-10-30
Forks ⑂ 19K ⑂ 2.4K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Ollama if

  • You weight community size — 186K stars and counting
  • You want the MIT license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full Ollama 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 Ollama

Ollama Start building with open models. Download macOS or download manually Windows or download manually Linux Manual install instructions Docker The official Ollama Docker image ollama/ollama is available on Docker Hub. Libraries ollama python ollama js Community Discord 𝕏 (Twitter) Reddit Get started You'll be prompted to run a model or connect Ollama to your existing agents or applications such as Claude Code , OpenClaw , OpenCode , Codex , Copilot , and more. Coding To launch a specific integration: Supported integrations include Claude Code, Codex, Copilot CLI, DeepSeek Harness, Droid, and OpenCode. AI…

read the full Ollama overview →

About dagster

Dagster is a cloud native data pipeline orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best in class testability. It is designed for developing and maintaining data assets , such as tables, data sets, machine learning models, and reports. With Dagster, you declare—as Python functions—the data assets that you want to build. Dagster then helps you run your functions at the right time and keep your assets up to date. Here is an example of a graph of three assets defined in Python: The graph loaded into Dagster's web UI: Dagster is…

read the full dagster overview →

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Frequently asked questions

Is Ollama or dagster more popular?

Ollama has 185,702 GitHub stars and dagster has 16,364. Ollama has the larger community by that measure.

Are Ollama and dagster free?

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

What is the difference between Ollama and dagster?

Ollama is written in Go 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, Ollama or dagster?

Choose Ollama if you want the larger community (185,702 stars) or its MIT licence terms. Choose dagster if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.