head to head · open source

Ollama vs great_expectations

Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. great_expectations has 11,914 stars, 1,883 forks, 42 open issues and last shipped yesterday. Ollama leads on adoption by 1,459% (185,702 vs 11,914 stars). Ollama is written in Go under MIT; great_expectations is written in Python under Apache-2.0. Ollama has attracted 10% as many forks as stars, great_expectations 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.

Ollama ★ 186K great_expectations ★ 12K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

Ollama great_expectations
GitHub stars ★ 186K ★ 12K
License MIT Apache-2.0
Written in Go Python
Last push 2026-11-02 2026-11-02
Forks ⑂ 19K ⑂ 1.9K
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 great_expectations if

  • You want the great_expectations 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 great_expectations fits your workflow better

full great_expectations 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 great_expectations

About GX Core GX Core combines the collective wisdom of thousands of community members with a proven track record in data quality deployments worldwide, wrapped into a super simple package for data teams. Its powerful technical tools start with Expectations: expressive and extensible unit tests for your data. Expectations foster collaboration by giving teams a common language to express data quality tests in an intuitive way. You can automatically generate documentation for each set of validation results, making it easy for everyone to stay on the same page. This not only simplifies your data quality processes…

read the full great_expectations 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 great_expectations more popular?

Ollama has 185,702 GitHub stars and great_expectations has 11,914. Ollama has the larger community by that measure.

Are Ollama and great_expectations free?

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

What is the difference between Ollama and great_expectations?

Ollama is written in Go and great_expectations 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 great_expectations?

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