head to head · open source
Ollama vs vearch
Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. vearch has 2,333 stars, 366 forks, 170 open issues and last shipped 3 months ago. Ollama leads on adoption by 7,860% (185,702 vs 2,333 stars). Ollama is written in Go under MIT; vearch is written in Python under Apache-2.0. Ollama has attracted 10% as many forks as stars, vearch 16%. 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.
← all 20902 open source comparisons
Side by side
| Ollama | vearch | |
|---|---|---|
| GitHub stars | ★ 186K | ★ 2.3K |
| License | MIT | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-11-02 | 2026-07-27 |
| Forks | ⑂ 19K | ⑂ 366 |
| 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
pick vearch if
- You want the vearch 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 vearch fits your workflow better
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 vearch
简体中文 English Overview Vearch is a cloud native distributed vector database for efficient similarity search of embedding vectors in your AI applications. Key features Hybrid search : Both vector search and scalar filtering. Performance : Fast vector retrieval search from millions of objects in milliseconds. Scalability & Reliability : Replication and elastic scaling out. Document Restful APIs Tutorial 参考文档 OpenAPIs API Documentation SDK Usage Cases Use Vearch as a Memory Backend Vearch integrates with popular AI frameworks: Real world Demos VisualSearch : Vearch can be leveraged to build a complete visual search…
read the full vearch overview →
More in AI & Machine Learning
Related comparisons
More Machine Learning Infrastructure projects
Compare either of these against the rest of the Machine Learning Infrastructure field.
Frequently asked questions
Is Ollama or vearch more popular?
Ollama has 185,702 GitHub stars and vearch has 2,333. Ollama has the larger community by that measure.
Are Ollama and vearch free?
Both are open source. Ollama is licensed under MIT and vearch under Apache-2.0. Neither carries a licence fee.
What is the difference between Ollama and vearch?
Ollama is written in Go and vearch 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 vearch?
Choose Ollama if you want the larger community (185,702 stars) or its MIT licence terms. Choose vearch if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.