head to head · open source

Ollama vs dingo

Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. dingo has 1,705 stars, 263 forks, 8 open issues and last shipped 4 days ago. Ollama leads on adoption by 10,792% (185,702 vs 1,705 stars). Ollama is written in Go under MIT; dingo is written in Java under Apache-2.0. Ollama has attracted 10% as many forks as stars, dingo 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 dingo ★ 1.7K category AI & Machine Learning

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Side by side

Ollama dingo
GitHub stars ★ 186K ★ 1.7K
License MIT Apache-2.0
Written in Go Java
Last push 2026-11-02 2026-10-30
Forks ⑂ 19K ⑂ 263
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 dingo if

  • You want the dingo feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Java
  • You evaluated both and dingo fits your workflow better

full dingo 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 dingo

DingoDB DingoDB is an open source distributed multi modal vector database independently designed and developed by DataCanvas, which integrates real time strong consistency, relational semantics, and vector semantics into a unified platform, DingoDB positioning itself as a distinctive multi modal database solution. With exceptional horizontal scalability and elastic scaling capabilities, it effortlessly meets enterprise grade high availability requirements. Furthermore, DingoDB offers extensive multi language interfaces and seamless compatibility with the MySQL protocol, delivering unparalleled flexibility and…

read the full dingo overview →

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Frequently asked questions

Is Ollama or dingo more popular?

Ollama has 185,702 GitHub stars and dingo has 1,705. Ollama has the larger community by that measure.

Are Ollama and dingo free?

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

What is the difference between Ollama and dingo?

Ollama is written in Go and dingo in Java. 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 dingo?

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