Notebooks & Interactive Computing

Open-source implementation of Notebook LM with multi-modal content support (PDFs, videos, audio, web pages). Features multi-speaker podcast generation, 18+ AI provider integrations, and full-text + vector search. Self-hosted with complete data sovereignty. MIT licensed.

Personal AI notebook for organizing files and webpages with AI-generated notes. Local-first data storage, open data formats, and open model choice including local models. Cross-platform desktop app for research and thinking workflows. Apache 2.0 licensed.

Local-first file intelligence app, CLI, and MCP server for searching, summarizing, tagging, deduplicating, and safely organizing local files for AI agent workflows. MIT licensed.

Open-source scientific and technical publishing system built on Pandoc. Create dynamic content with Python, R, Julia, and Observable. MIT licensed.

Draw datasets from within Python notebooks. Interactive data visualization tool for creating and editing datasets directly in Jupyter environments. MIT licensed.

Drop-in replacement for Jupyter with AI-first design, sleek UI, and native data integrations. Use Python, R, and SQL locally, then scale to Deepnote cloud for collaboration and deployable data apps. Apache 2.0 licensed.

High-performance IDE for Jupyter Notebooks built with Go. Up to 5x less CPU and 40x less RAM than JupyterLab. Implements Jupyter's wire protocol with massive concurrency support. AGPL-3.0 licensed.