ReasonGraph

ZongqianLi/ReasonGraph is ranked 17,921 among these 8 peers; samuela/git-re-basin is ranked 17,928.

24]** ⭐ Support visualisation of **long outputs** from **reasoning models**! 18]** Support more LLM providers and models. Support two languages, English and Chinese. 18]** Rate and provide comments in the questionnaire (takes about 30 seconds). 17]** Try the online demo through Huggingface Page! **Functions:** **Visualisation of Reasoning Paths:** Transforms text-format reasoning outputs into flow charts. **Long Reasoning:** Supports visualisation of extended outputs from reasoning models. **Meta Reasoning:** Provides built-in capabilities for models to self-select optimal reasoning methods. **Characteristics

:** **Model Support:** Integrates with over 50 state-of-the-art models from major LLM providers including Anthropic, OpenAI, Google, Grok, Deepseek, Qwen, and Together. **Reasoning Methods:** Implements mainstream reasoning approaches including sequential methods and tree-based methods. **Modular Framework:** Standardized APIs for easy integration of new reasoning methods and models. **Beginner-Friendly:** Intuitive UI design with visualization updates and simple configuration. **Multilingual:** Support multi-languages and easy to be extended for more languages. 👀 Examples UI Screenshot: Visualisation of outputs from

reasoning models: Input: Give me two suggestions for transitioning from a journalist to a book editor? Use sequential and tree-based thinking and refinement loops. Model: deepseek-reasoner from DeepSeek Visualisation of sequential reasoning methods: Chain of Thoughts (top-left), Self-refine (top-middle), Least-to-most (top-right), Self-consistency (bottom-left): Visualisation of tree-based reasoning methods: Plain text (top), Beam Search (middle), Tree of Thoughts (bottom): 🎨 Quick Use Try the online demo: 1. Go to the website

: Visualize long outputs from reasoning models: 1. Select a reasoning model and enter its API key. API Provider: Deepseek; Model: deepseek-reasoner API Provider: Qwen; Model: qwq-plus 2. Set up the environment according to Section 🖥️ Environment below. Input the API key: If you don't enter the API keys, the interface can still run normally, but you won't be able to use the corresponding models for inference. Run the program with a single line of code in the terminal: 5

. Open your browser and go to the local URL shown in the output.