Side-by-side comparison of stars, features, and trends
LiteLLM provides a unified interface to interact with over 100 LLM providers using a consistent OpenAI-compatible format. Developers can utilize it as a Python SDK for direct integration or deploy it as a production-ready proxy server. The platform simplifies LLM management by offering features like load balancing, spend tracking, and virtual keys.
FlashMLA is a library of high-performance attention kernels specifically designed to power DeepSeek-V3 and DeepSeek-V3.2 models. It provides optimized implementations for both sparse and dense attention mechanisms during prefill and decoding stages. The library supports advanced features like FP8 KV cache and is compatible with various GPU architectures including SM90 and SM100.