head to head · open source

llama_index vs popmon

llama_index has 52,779 GitHub stars, 8,500 forks, 770 open issues and last shipped 8 days ago. popmon has 512 stars, 36 forks, 12 open issues and last shipped 10 months ago. llama_index leads on adoption by 10,208% (52,779 vs 512 stars). llama_index is written in Python under MIT; popmon is written in Python under MIT. llama_index has attracted 16% as many forks as stars, popmon 7%. llama_index 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.

llama_index ★ 53K popmon ★ 512 category AI & Machine Learning

← all 20902 open source comparisons

Side by side

llama_index popmon
GitHub stars ★ 53K ★ 512
License MIT MIT
Written in Python Python
Last push 2026-10-26 2026-01-09
Forks ⑂ 8.5K ⑂ 36
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

full llama_index profile →

pick popmon if

  • You want the popmon feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and popmon fits your workflow better

full popmon profile →

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 popmon

=========================== Population Shift Monitoring =========================== popmon is a package that allows one to check the stability of a dataset. popmon works with both pandas and spark datasets . popmon creates histograms of features binned in time slices, and compares the stability of the profiles and distributions of those histograms using statistical tests , both over time and with respect to a reference. It works with numerical, ordinal, categorical features, and the histograms can be higher dimensional, e.g. it can also track correlations between any two features. popmon can automatically flag…

read the full popmon 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 llama_index or popmon more popular?

llama_index has 52,779 GitHub stars and popmon has 512. llama_index has the larger community by that measure.

Are llama_index and popmon free?

Both are open source. llama_index is licensed under MIT and popmon under MIT. Neither carries a licence fee.

What is the difference between llama_index and popmon?

llama_index is written in Python and popmon 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 popmon?

Choose llama_index if you want the larger community (52,779 stars) or its MIT licence terms. Choose popmon if its feature set, stack or MIT licence fits better. Both are self-hostable.