Which is more popular, LiteLLM or UQLM?

LiteLLM has more GitHub stars (60,079 vs 1,207).

Which is more actively developed, LiteLLM or UQLM?

LiteLLM had more commits in the last 90 days (13,238 vs 91).

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

LiteLLM is growing faster: +2,982 GitHub stars in the last 30 days vs +12 for UQLM.
Pick LiteLLM for: open-source Python SDK and AI gateway for calling 100+ LLMs through a unified OpenAI-compatible interface. Pick UQLM for: uQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination.

From GitHub data refreshed daily.

Open-source Python SDK and AI gateway for calling 100+ LLMs through a unified OpenAI-compatible interface

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, LiteLLM or UQLM?: LiteLLM has more GitHub stars (60,079 vs 1,207).
Which is more actively developed, LiteLLM or UQLM?: LiteLLM had more commits in the last 90 days (13,238 vs 91).
Should I use LiteLLM or UQLM?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.