head to head · open source
Ollama vs great_expectations
Ollama has 181,161 GitHub stars, 17,917 forks, 3,957 open issues and last shipped yesterday. great_expectations has 11,797 stars, 1,850 forks, 42 open issues and last shipped yesterday. Ollama leads on adoption by 1,436% (181,161 vs 11,797 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%. great_expectations 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.
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Side by side
| Ollama | great_expectations | |
|---|---|---|
| GitHub stars | ★ 181K | ★ 12K |
| License | MIT | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 18K | ⑂ 1.9K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Ollama if
- You weight community size — 181K stars and counting
- You want the MIT license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
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
About Ollama
Ollama is a Go based, MIT licensed runtime that downloads and runs open source large language models such as DeepSeek, Qwen, Gemma, GLM, MiniMax and gpt oss locally on a user's own machine, and it is aimed at developers and teams that want model inference without routing prompts through a hosted API.
read the full Ollama overview →
About great_expectations
Great Expectations, referred to in its own documentation as GX Core, is an open source Python library for validating and documenting the quality of data. It lives in the Python data ecosystem and is published under the Apache 2.0 license. The project has been in development for roughly nine years and carries about 11,794 stars with 1,848 forks, which places it among the longer running tools in the data quality space. Its central concept is the Expectation: an expressive, extensible unit test written against a dataset rather than against application code.
read the full great_expectations overview →
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Frequently asked questions
Is Ollama or great_expectations more popular?
Ollama has 181,161 GitHub stars and great_expectations has 11,797. 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 (181,161 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.