{"data":{"node":{"slug":"jupyter-notebook","name":"notebook","tagline":"Jupyter Interactive Notebook","github_url":"https://github.com/jupyter/notebook","owner":"jupyter","repo":"notebook","owner_avatar_url":"https://avatars.githubusercontent.com/u/7388996?v=4","primary_language":"Jupyter Notebook","stars":13279,"forks":5723,"topics":["closember","jupyter","jupyter-notebook","notebook"],"archived":false,"github_pushed_at":"2026-08-01T05:49:14+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/jupyter-notebook","markdown_url":"https://www.graphcanon.com/tools/jupyter-notebook.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/jupyter-notebook","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=jupyter-notebook"},"categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"}],"tags":[{"slug":"closember","name":"closember"},{"slug":"jupyter","name":"jupyter"},{"slug":"notebook","name":"notebook"}],"edges":[],"neighbours":[{"slug":"nirdiamant-rag-techniques","name":"RAG_Techniques","tagline":"Showcases advanced techniques for Retrieval-Augmented Generation (RAG) systems with detailed notebook tutorials.","github_url":"https://github.com/NirDiamant/RAG_Techniques","owner":"NirDiamant","repo":"RAG_Techniques","owner_avatar_url":"https://avatars.githubusercontent.com/u/28316913?v=4","primary_language":"Jupyter Notebook","stars":29076,"forks":3540,"topics":["agentic-rag","ai","embeddings","generative-ai","gpt","langchain","llama-index","llm","llms","machine-learning","nlp","openai","python","rag","retrieval-augmented-generation","semantic-search","tutorials","vector-database"],"archived":false,"github_pushed_at":"2026-08-15T00:52:05+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/nirdiamant-rag-techniques","markdown_url":"https://www.graphcanon.com/tools/nirdiamant-rag-techniques.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nirdiamant-rag-techniques","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nirdiamant-rag-techniques","shared_categories":[]},{"slug":"othmanadi-planning-with-files","name":"planning-with-files","tagline":"Persistent file-based planning for AI coding agents","github_url":"https://github.com/OthmanAdi/planning-with-files","owner":"OthmanAdi","repo":"planning-with-files","owner_avatar_url":"https://avatars.githubusercontent.com/u/78882424?v=4","primary_language":"Shell","stars":26250,"forks":2199,"topics":["agent-skills","autonomous-agents","claude","claude-code","claude-code-skills","claude-skills","codex","coding-agent","context-engineering","context-rot","cursor","github-copilot","hermes-plugin","hermes-skill","llm-agents","long-running-agents","manus","multi-agent-systems","planning","session-recovery"],"archived":false,"github_pushed_at":"2026-08-19T17:32:24+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/othmanadi-planning-with-files","markdown_url":"https://www.graphcanon.com/tools/othmanadi-planning-with-files.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/othmanadi-planning-with-files","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=othmanadi-planning-with-files","shared_categories":["developer-tools"]},{"slug":"aws-amazon-sagemaker-examples","name":"amazon-sagemaker-examples","tagline":"Jupyter notebooks for building, training, and deploying ML models using Amazon SageMaker","github_url":"https://github.com/aws/amazon-sagemaker-examples","owner":"aws","repo":"amazon-sagemaker-examples","owner_avatar_url":"https://avatars.githubusercontent.com/u/2232217?v=4","primary_language":"Jupyter Notebook","stars":10984,"forks":6961,"topics":["aws","data-science","deep-learning","examples","inference","jupyter-notebook","machine-learning","mlops","reinforcement-learning","sagemaker","training"],"archived":false,"github_pushed_at":"2026-07-30T22:05:30+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/aws-amazon-sagemaker-examples","markdown_url":"https://www.graphcanon.com/tools/aws-amazon-sagemaker-examples.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/aws-amazon-sagemaker-examples","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=aws-amazon-sagemaker-examples","shared_categories":[]},{"slug":"gkamradt-langchain-tutorials","name":"langchain-tutorials","tagline":"Overview and tutorial of the LangChain Library","github_url":"https://github.com/gkamradt/langchain-tutorials","owner":"gkamradt","repo":"langchain-tutorials","owner_avatar_url":"https://avatars.githubusercontent.com/u/9809213?v=4","primary_language":"Jupyter Notebook","stars":7480,"forks":2013,"topics":[],"archived":false,"github_pushed_at":"2024-08-05T09:18:46+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/gkamradt-langchain-tutorials","markdown_url":"https://www.graphcanon.com/tools/gkamradt-langchain-tutorials.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/gkamradt-langchain-tutorials","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=gkamradt-langchain-tutorials","shared_categories":["developer-tools"]},{"slug":"swyxio-ai-notes","name":"ai-notes","tagline":"Notes for software engineers on recent AI developments","github_url":"https://github.com/swyxio/ai-notes","owner":"swyxio","repo":"ai-notes","owner_avatar_url":"https://avatars.githubusercontent.com/u/6764957?v=4","primary_language":"HTML","stars":6243,"forks":560,"topics":["ai","gpt","gpt-3","multimodal","openai","prompt-engineering","stable-diffusion"],"archived":false,"github_pushed_at":"2026-02-16T06:45:25+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/swyxio-ai-notes","markdown_url":"https://www.graphcanon.com/tools/swyxio-ai-notes.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/swyxio-ai-notes","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=swyxio-ai-notes","shared_categories":["developer-tools"]},{"slug":"serenakeyitan-awesome-notebooklm-prompts","name":"awesome-notebookLM-prompts","tagline":"Curated collection of NotebookLM slide prompts for AI presentations","github_url":"https://github.com/serenakeyitan/awesome-notebookLM-prompts","owner":"serenakeyitan","repo":"awesome-notebookLM-prompts","owner_avatar_url":"https://avatars.githubusercontent.com/u/94026305?v=4","primary_language":null,"stars":4336,"forks":622,"topics":["ai","ai-agents","gemini","google","nanobananapro","notebooklm","prompt","prompt-engineering","prompts"],"archived":false,"github_pushed_at":"2026-06-19T08:11:56+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/serenakeyitan-awesome-notebooklm-prompts","markdown_url":"https://www.graphcanon.com/tools/serenakeyitan-awesome-notebooklm-prompts.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/serenakeyitan-awesome-notebooklm-prompts","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=serenakeyitan-awesome-notebooklm-prompts","shared_categories":["developer-tools"]},{"slug":"shroominic-codeinterpreter-api","name":"codeinterpreter-api","tagline":"Open source implementation of the ChatGPT Code Interpreter","github_url":"https://github.com/shroominic/codeinterpreter-api","owner":"shroominic","repo":"codeinterpreter-api","owner_avatar_url":"https://avatars.githubusercontent.com/u/34897716?v=4","primary_language":"Python","stars":3846,"forks":387,"topics":["chatgpt","chatgpt-code-generation","code-interpreter","codeinterpreter","langchain","llm-agent"],"archived":false,"github_pushed_at":"2024-11-07T03:28:33+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/shroominic-codeinterpreter-api","markdown_url":"https://www.graphcanon.com/tools/shroominic-codeinterpreter-api.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/shroominic-codeinterpreter-api","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=shroominic-codeinterpreter-api","shared_categories":[]},{"slug":"deta-surf","name":"surf","tagline":"Tools for organizing files and webpages locally to generate notes using personal AI notebooks.","github_url":"https://github.com/deta/surf","owner":"deta","repo":"surf","owner_avatar_url":"https://avatars.githubusercontent.com/u/47275976?v=4","primary_language":"TypeScript","stars":3522,"forks":251,"topics":["claude","deepseek","gemma","knowledge-base","knowledge-management","llm","local","local-llm","ollama","openai","productivity","rust","svelte","typescript"],"archived":false,"github_pushed_at":"2026-08-10T17:06:01+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/deta-surf","markdown_url":"https://www.graphcanon.com/tools/deta-surf.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/deta-surf","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=deta-surf","shared_categories":["developer-tools"]},{"slug":"pinecone-io-examples","name":"examples","tagline":"Jupyter Notebooks to help you get hands-on with Pinecone vector databases","github_url":"https://github.com/pinecone-io/examples","owner":"pinecone-io","repo":"examples","owner_avatar_url":"https://avatars.githubusercontent.com/u/54333248?v=4","primary_language":"Jupyter Notebook","stars":3036,"forks":1073,"topics":["ai","jupyter-notebook","llm","pinecone","python","rag","semantic-search","vector-database","vector-search"],"archived":false,"github_pushed_at":"2026-08-14T16:12:34+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/pinecone-io-examples","markdown_url":"https://www.graphcanon.com/tools/pinecone-io-examples.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pinecone-io-examples","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pinecone-io-examples","shared_categories":[]},{"slug":"semanser-codel","name":"codel","tagline":"Fully autonomous AI Agent for complicated tasks","github_url":"https://github.com/semanser/codel","owner":"semanser","repo":"codel","owner_avatar_url":"https://avatars.githubusercontent.com/u/4020045?v=4","primary_language":"TypeScript","stars":2474,"forks":202,"topics":["agent","ai","autonomous-agents","bot","devin","llama2","llms","ollama","openai"],"archived":false,"github_pushed_at":"2024-04-29T17:53:58+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/semanser-codel","markdown_url":"https://www.graphcanon.com/tools/semanser-codel.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/semanser-codel","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=semanser-codel","shared_categories":[]},{"slug":"embeddedllm-jamaibase","name":"JamAIBase","tagline":"The collaborative spreadsheet for AI, linking cells into powerful pipelines and facilitating real-time experimentations with prompts and models.","github_url":"https://github.com/EmbeddedLLM/JamAIBase","owner":"EmbeddedLLM","repo":"JamAIBase","owner_avatar_url":"https://avatars.githubusercontent.com/u/148834374?v=4","primary_language":"Python","stars":1104,"forks":46,"topics":["agents","ai","ai-agents-framework","baas","backend-as-a-service","chatbot","chatgpt","intelligent-spreadsheet","lancedb","llama3-1","llm","llm-ops","orchestration","python","rag","retrieval-augmented-generation","serverless","spreadsheet","svelte","workflow"],"archived":false,"github_pushed_at":"2026-08-11T00:54:16+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/embeddedllm-jamaibase","markdown_url":"https://www.graphcanon.com/tools/embeddedllm-jamaibase.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/embeddedllm-jamaibase","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=embeddedllm-jamaibase","shared_categories":[]},{"slug":"harleyszhang-llm-note","name":"llm_note","tagline":"LLM notes covering model inference transformer structures and framework analysis","github_url":"https://github.com/harleyszhang/llm_note","owner":"harleyszhang","repo":"llm_note","owner_avatar_url":"https://avatars.githubusercontent.com/u/37138671?v=4","primary_language":"Python","stars":888,"forks":90,"topics":["cuda-programming","kv-cache","llm","llm-inference","transformer-models","triton-kernels","vllm"],"archived":false,"github_pushed_at":"2026-08-19T06:46:41+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/harleyszhang-llm-note","markdown_url":"https://www.graphcanon.com/tools/harleyszhang-llm-note.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/harleyszhang-llm-note","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=harleyszhang-llm-note","shared_categories":[]}]}}