litellm vs llmflows
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| litellm | llmflows | |
|---|---|---|
| Tagline | Python SDK and Proxy Server for calling over 100 LLM APIs in OpenAI format | Simple, Explicit and Transparent LLM Apps |
| Stars | 53k | 706 |
| Forks | 9.5k | 35 |
| Open issues | 3.7k | 19 |
| Language | Python | Python |
| License | Other | MIT |
| Last pushed | Jul 7, 2026 | Feb 20, 2025 |
| Categories | LLM Frameworks, Inference & Serving | Evaluation & Observability, Inference & Serving |
litellm
A Python SDK along with a proxy server (AI Gateway) designed to facilitate the interaction with numerous large language models, providing functionalities like cost tracking, load balancing, guardrails, and logging across various providers such as Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM.
Python
llmflows
LLMFlows is a framework that allows the creation of clear, transparent applications using large language models (LLMs), offering minimalistic abstractions for monitoring, maintenance, and debugging.
Python