llama-cpp-python vs LlamaHub
Side-by-side comparison of two AI agent tools
Short answer
- LlamaHub has had no commit in 31 months; llama-cpp-python is actively maintained (15 commits in the last 90 days).
- llama-cpp-python is growing faster: +84 GitHub stars in the last 30 days vs +-2 for LlamaHub.
- Pick llama-cpp-python for: python bindings for llama.cpp. Pick LlamaHub for: a library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain.
From GitHub data refreshed daily.
llama-cpp-pythonopen-source
Python bindings for llama.cpp
LlamaHubopen-source
A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
Metrics
| llama-cpp-python | LlamaHub | |
|---|---|---|
| Stars | 10.6k | 3.5k |
| Star velocity /mo | 84.47368421052632 | -2.3684210526315788 |
| Commits (90d) | 15 | 0 |
| Releases (6m) | 10 | 0 |
| Downloads (30d, npm + PyPI) | 531.5K | — |
| Overall score | 0.603530072263989 | 0.1127555220681511 |
Pros
- +OpenAI-compatible API enables seamless migration from cloud services to local inference
- +Multiple integration options from low-level C API to high-level Python interfaces and web server modes
- +Extensive framework compatibility with LangChain, LlamaIndex, and other popular ML libraries
- +Extensive community-contributed collection of data loaders and integrations for popular LLM frameworks
- +Simplified data ingestion with ready-to-use connectors for major platforms like Google Workspace, Notion, and Slack
- +Well-documented examples and Jupyter notebooks demonstrating real-world data agent implementations
Cons
- -Requires C compiler installation and compilation from source, which can fail on some systems
- -Hardware acceleration setup may require additional configuration and platform-specific knowledge
- -Installation complexity increases with custom backend requirements and optimization needs
- -Repository is archived and read-only, with no new development or maintenance
- -All functionality has been migrated to the main llama-index repository, making this version obsolete
- -Installation may be deprecated as the PyPI package redirects users to the updated implementation
Use Cases
- •Creating local OpenAI-compatible servers for privacy-sensitive applications or offline deployments
- •Building code completion tools as local Copilot alternatives for development environments
- •Integrating local LLM inference into existing LangChain or LlamaIndex-based applications
- •Legacy projects that need to maintain compatibility with older LlamaIndex versions
- •Learning from historical examples of data loader implementations and patterns
- •Understanding the evolution of LlamaIndex's integration ecosystem before consulting current documentation
FAQ
- Which is more popular, llama-cpp-python or LlamaHub?
- llama-cpp-python has more GitHub stars (10,637 vs 3,460).
- Which is more actively developed, llama-cpp-python or LlamaHub?
- llama-cpp-python had more commits in the last 90 days (15 vs 0).
- Should I use llama-cpp-python or LlamaHub?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.