head to head · open source

Ollama vs examples

Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. examples has 3,051 stars, 1,062 forks, 64 open issues and last shipped 11 days ago. Ollama leads on adoption by 5,987% (185,702 vs 3,051 stars). Ollama is written in Go under MIT; examples is written in Jupyter Notebook under MIT. Ollama has attracted 10% as many forks as stars, examples 35%. Ollama was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), so they are genuine substitutes rather than adjacent tools.

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 examples ★ 3.1K category AI & Machine Learning

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Side by side

Ollama examples
GitHub stars ★ 186K ★ 3.1K
License MIT MIT
Written in Go Jupyter Notebook
Last push 2026-11-02 2026-10-23
Forks ⑂ 19K ⑂ 1.1K
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 examples if

  • You want the examples feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Jupyter Notebook
  • You evaluated both and examples fits your workflow better

full examples 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 examples

Pinecone Examples This repository is a collection of sample applications and Jupyter Notebooks that you can run, download, study and modify in order to get hands on with Pinecone vector databases and common AI patterns, tools and algorithms. Two kinds of examples This repo contains: 1. Production ready examples in ./docs that receive regular review and support from the Pinecone engineering team 2. Examples optimized for learning and exploration of AI techniques in ./learn and patterns for building different kinds of applications, created and maintained by the Pinecone Developer Advocacy team. We appreciate your…

read the full examples overview →

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Frequently asked questions

Is Ollama or examples more popular?

Ollama has 185,702 GitHub stars and examples has 3,051. Ollama has the larger community by that measure.

Are Ollama and examples free?

Both are open source. Ollama is licensed under MIT and examples under MIT. Neither carries a licence fee.

What is the difference between Ollama and examples?

Ollama is written in Go and examples in Jupyter Notebook. 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 examples?

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