head to head · open source
llama_index vs great_expectations
llama_index has 52,779 GitHub stars, 8,500 forks, 770 open issues and last shipped 8 days ago. great_expectations has 11,914 stars, 1,883 forks, 42 open issues and last shipped yesterday. llama_index leads on adoption by 343% (52,779 vs 11,914 stars). llama_index is written in Python under MIT; great_expectations is written in Python under Apache-2.0. llama_index has attracted 16% 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
| llama_index | great_expectations | |
|---|---|---|
| GitHub stars | ★ 53K | ★ 12K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-10-26 | 2026-11-02 |
| Forks | ⑂ 8.5K | ⑂ 1.9K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llama_index if
- You weight community size — 53K stars and counting
- You want the MIT license terms
- Your stack matches Python
- 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 llama_index
🗂️ LlamaIndex (OSS Framework) 🦙 [!NOTE] The current focus of LlamaIndex is to build the best AI powered engine for document parsing and extraction. LlamaParse is our enterprise platform for agentic OCR, parsing, extraction, indexing and more. LiteParse represents our efforts to build the best free, fast, cheap text parser in the market. ParseBench and ExtractBench represent our commitment towards open benchmarking for parsing and extraction. The company itself has undergone an evolution since when this OSS framework first launched 3 years ago in 2023. Since the early days, the framework has consisted of a…
read the full llama_index 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 →
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Frequently asked questions
Is llama_index or great_expectations more popular?
llama_index has 52,779 GitHub stars and great_expectations has 11,914. llama_index has the larger community by that measure.
Are llama_index and great_expectations free?
Both are open source. llama_index is licensed under MIT and great_expectations under Apache-2.0. Neither carries a licence fee.
What is the difference between llama_index and great_expectations?
llama_index is written in Python 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, llama_index or great_expectations?
Choose llama_index if you want the larger community (52,779 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.