head to head · open source

Ollama vs lightly-studio

Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. lightly-studio has 902 stars, 42 forks, 53 open issues and last shipped yesterday. Ollama leads on adoption by 20,488% (185,702 vs 902 stars). Ollama is written in Go under MIT; lightly-studio is written in Python under Apache-2.0. Ollama has attracted 10% as many forks as stars, lightly-studio 5%. 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 lightly-studio ★ 902 category AI & Machine Learning

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Side by side

Ollama lightly-studio
GitHub stars ★ 186K ★ 902
License MIT Apache-2.0
Written in Go Python
Last push 2026-11-02 2026-11-02
Forks ⑂ 19K ⑂ 42
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 lightly-studio if

  • You want the lightly-studio 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 lightly-studio fits your workflow better

full lightly-studio 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 lightly-studio

Curate, Annotate, and Manage Your Data in LightlyStudio. The embedding plot shows how images relate to each other, with a preview on hover. A lasso selection filters the grid to one cluster. A search for "coffee" finds a match, and the annotation editor opens to label it. ⚡ Works smoothly with 2M+ images, embeddings included, on a single MacBook (M1, 16GB RAM). 🚀 Try it in 60 seconds LightlyStudio runs on your computer and opens in your browser. The following command downloads an example dataset with images, annotations, and evaluation results — no account needed. Local only: your images and datasets never…

read the full lightly-studio overview →

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Frequently asked questions

Is Ollama or lightly-studio more popular?

Ollama has 185,702 GitHub stars and lightly-studio has 902. Ollama has the larger community by that measure.

Are Ollama and lightly-studio free?

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

What is the difference between Ollama and lightly-studio?

Ollama is written in Go and lightly-studio 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 lightly-studio?

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