burr vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| burr | ollama | |
|---|---|---|
| Tagline | Build applications that make decisions with Apache Burr. | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 2.5k | 176k |
| Forks | 169 | 17k |
| Open issues | 118 | 3.4k |
| Language | Python | Go |
| License | Apache-2.0 | MIT |
| Last pushed | Jun 28, 2026 | Jul 7, 2026 |
| Categories | LLM Frameworks, AI Agents, Evaluation & Observability | AI Agents, LLM Frameworks |
burr
Apache Burr is a Python library for developing decision-making applications using LLMs. It offers real-time monitoring and tracing capabilities along with persistent state management, enabling users to build complex systems like chatbots, agents, or simulations easily.
Python
ollama
Ollama is a platform for deploying and interacting with various large language models (LLMs) such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma on macOS, Windows, Linux, and Docker environments.
Go