Which is more popular, MinerU or UQLM?

MinerU has more GitHub stars (80,986 vs 1,206).

Which is more actively developed, MinerU or UQLM?

MinerU had more commits in the last 90 days (905 vs 92).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

MinerU is growing faster: +3,746 GitHub stars in the last 30 days vs +12 for UQLM.
Pick MinerU for: transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows. Pick UQLM for: uQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination.

From GitHub data refreshed daily.

Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.

UQLMopen-source

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

+Research-backed uncertainty quantification methods published in top-tier academic journals (JMLR, TMLR)
+Multiple scorer types offering different trade-offs between latency, cost, and accuracy for flexible deployment
+Simple installation and integration with existing LLM workflows through PyPI distribution

-Requires Python 3.10+ which may limit compatibility with older environments
-Different scorers add varying levels of latency and computational cost to LLM inference
-Limited to response-level scoring rather than token-level or real-time uncertainty detection

•Production LLM applications requiring confidence scores to filter or flag potentially unreliable outputs
•Research and development of hallucination detection systems and uncertainty quantification methods
•Quality assurance workflows for LLM-generated content in critical domains like healthcare or finance

Which is more popular, MinerU or UQLM?: MinerU has more GitHub stars (80,986 vs 1,206).
Which is more actively developed, MinerU or UQLM?: MinerU had more commits in the last 90 days (905 vs 92).
Should I use MinerU or UQLM?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.