head to head · open source
llama_index vs langtest
llama_index has 52,779 GitHub stars, 8,500 forks, 770 open issues and last shipped 8 days ago. langtest has 561 stars, 53 forks, 6 open issues and last shipped 2 months ago. llama_index leads on adoption by 9,308% (52,779 vs 561 stars). llama_index is written in Python under MIT; langtest is written in Python under Apache-2.0. llama_index has attracted 16% as many forks as stars, langtest 9%. llama_index 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.
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Side by side
| llama_index | langtest | |
|---|---|---|
| GitHub stars | ★ 53K | ★ 561 |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-10-26 | 2026-08-28 |
| Forks | ⑂ 8.5K | ⑂ 53 |
| 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 langtest if
- You want the langtest 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 langtest 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 langtest
LangTest: Deliver Safe & Effective Language Models Project's Website • Key Features • How To Use • Benchmark Datasets • Community Support • Contributing • Mission • License Project's Website Take a look at our official page for user documentation and examples: langtest.org Key Features Generate and execute more than 60 distinct types of tests only with 1 line of code Test all aspects of model quality: robustness, bias, representation, fairness and accuracy. Automatically augment training data based on test results (for select models) Support for popular NLP frameworks for NER, Translation and Text…
read the full langtest overview →
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Frequently asked questions
Is llama_index or langtest more popular?
llama_index has 52,779 GitHub stars and langtest has 561. llama_index has the larger community by that measure.
Are llama_index and langtest free?
Both are open source. llama_index is licensed under MIT and langtest under Apache-2.0. Neither carries a licence fee.
What is the difference between llama_index and langtest?
llama_index is written in Python and langtest 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 langtest?
Choose llama_index if you want the larger community (52,779 stars) or its MIT licence terms. Choose langtest if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.