Which is more popular, LiteLLM or STORM?

LiteLLM has more GitHub stars (60,036 vs 31,555).

Which is more actively developed, LiteLLM or STORM?

LiteLLM had more commits in the last 90 days (13,191 vs 0).

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

STORM has had no commit in 12 months; LiteLLM is actively maintained (13,191 commits in the last 90 days).
LiteLLM is growing faster: +2,991 GitHub stars in the last 30 days vs +558 for STORM.
Pick LiteLLM for: open-source Python SDK and AI gateway for calling 100+ LLMs through a unified OpenAI-compatible interface. Pick STORM for: an LLM-powered knowledge curation system that researches a topic and generates a full-length report.

From GitHub data refreshed daily.

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

STORMopen-source

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

+Automated multi-perspective research that synthesizes information from diverse Internet sources into structured, Wikipedia-style articles with proper citations
+Human-AI collaborative features through Co-STORM enable interactive knowledge curation with user guidance and preferences
+Flexible architecture supporting multiple language models, search engines, and document sources through modular components and extensive customization options

-Cannot produce publication-ready articles and requires significant manual editing and fact-checking before professional use
-Quality and accuracy depend heavily on the underlying language model and search results, potentially leading to inconsistencies or outdated information
-Complex setup and configuration may be challenging for non-technical users despite simplified installation options

•Pre-writing research assistance for Wikipedia editors and content creators who need comprehensive topic overviews before manual article development
•Academic research synthesis for students and researchers who need to quickly gather and organize information from multiple sources on specific topics
•Knowledge base generation for organizations that need to create structured reports from internal documents and external sources

Which is more popular, LiteLLM or STORM?: LiteLLM has more GitHub stars (60,036 vs 31,555).
Which is more actively developed, LiteLLM or STORM?: LiteLLM had more commits in the last 90 days (13,191 vs 0).
Should I use LiteLLM or STORM?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.