Search Results for "notebook"
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Showing 26 open source projects for "notebook"
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Open Notebook
An Open Source implementation of Notebook LM with more flexibility
Open Notebook is an open-source, privacy-focused alternative to Google’s Notebook LM that gives users full control over their research and AI workflows. Designed to be self-hosted, it ensures complete data sovereignty by keeping your content local or within your own infrastructure. The platform supports 16+ AI providers—including OpenAI, Anthropic, Ollama, Google, and LM Studio—allowing flexible model choice and cost optimization. -
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polynote
A better notebook for Scala (and more)
Polynote is an innovative polyglot notebook environment that improves on traditional interactive computing tools by enabling multi-language notebooks where users can mix languages like Scala, Python, SQL, and more within a single document while sharing variables and definitions seamlessly across those languages. Designed to address shortcomings in classic notebook solutions, it blends features familiar from IDEs — such as smart autocomplete, parameter hints, and better runtime insights — with the flexibility of notebook workflows, enhancing both developer productivity and data exploration. ... -
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Deepnote
Deepnote is a drop-in replacement for Jupyter
...Deepnote emphasizes team-based data science by enabling real-time collaboration similar to shared document editors, allowing multiple users to work simultaneously on the same notebook environment. -
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nbdime
Tools for diffing and merging of Jupyter notebooks
...Jupyter notebooks are useful, rich media documents stored in a plain text JSON format. This format is relatively easy to parse. However, primitive line-based diff and merge tools do not handle well the logical structure of notebook documents. nbdime, on the other hand, provides “content-aware” diffing and merging of Jupyter notebooks. It understands the structure of notebook documents. Therefore, it can make intelligent decisions when diffing and merging notebooks. Many of us who are writing and sharing notebooks do so with git and GitHub. Git doesn’t handle diffing and merging notebooks very well by default, but you can configure git to use nbdime and it will get a lot better. -
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nteract
The interactive computing suite for you
...We build SDKs, applications, and libraries that help you and your team make the most of interactive notebooks and REPLs. To dive into the nteract ecosystem, start by trying out our desktop application for interactive notebooks. The nteract ecosystem provides a wide variety of notebook-based applications for your scenario. Whether you want to edit notebooks in a desktop app or in your favorite editor, nteract provides you the tools you need to leverage the full power of interactive notebooks and the Jupyter ecosystem. Interactive notebooks and REPLs are a powerful way for people to interact with machines. nteract provides a client-side SDK for integrating notebook and REPL UIs into your software. ... -
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JupyterLab Desktop
JupyterLab desktop application, based on Electron
...JupyterLab Desktop can be launched from the GUI of your operating system by clicking the application's icon or by using jlab command from the command line. Double-clicking .ipynb files is also supported and it will launch JupyterLab Desktop and load the notebook file. -
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Querybook
Big Data Querying UI, combining collocated table metadata
Querybook is Pinterest’s open-source big data IDE via a notebook interface. Querybook’s core focus is to make composing queries, creating analyses, and collaborating with others as simple as possible. Organize rich text, queries, and charts into a notebook to easily document your analyses. Work collaboratively with others in a DataDoc and get real-time updates. The Query Editor is aware of your tables and their columns, as such it provides autocompletion, syntax highlighting, and the ability to hover or click on a table to view its information. ... -
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JupyterLite
Wasm powered Jupyter running in the browser
...JupyterLite supports many core Jupyter features, including notebooks, code consoles, and interactive visualizations, while storing files locally using browser storage mechanisms such as IndexedDB. It is designed to be easily deployable as a static website, enabling developers to host fully functional notebook environments on platforms like GitHub Pages. -
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Saladict
Pop-up dictionary and page translator with multiple search modes
All-in-one professional pop-up dictionary and page translator which supports multiple search modes, page translations, new word notebook and PDF selection searching. Saladict supports mixed use of multiple search modes. Whether it be single-click, double-click, pop-up icon, hovering or keyboard shortcuts, you name it. The combination of dictionaries is dynamically adjusted according to search text and Saladict profile. Although Saladict is built for looking up English words, it also supports many other languages. ... -
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Gator
Conda environment and package management extension from within Jupyter
The Mamba Navigator, a Web UI for managing conda environments. Provides Conda/Mamba environment and package management as a standalone application or as an extension for JupyterLab. -
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KnowNote
A local-first AI knowledge base & NotebookLM alternative
KnowNote is a local-first, open-source AI knowledge base and notebook application created as an Electron-based alternative to Google NotebookLM that emphasizes privacy, control, and simplicity. It lets users build an intelligent, searchable knowledge base from uploaded documents such as PDFs, Word files, PowerPoints, and web pages, and then interact with that content using LLM-powered chat, summarization, and reasoning tools. -
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Pretzel AI
The modern replacement for Jupyter Notebooks
Pretzel AI is an open-source, AI-enhanced notebook environment built as a modern alternative to Jupyter, designed to improve the data science and coding workflow through deep integration of intelligent assistance. It extends the traditional notebook interface by embedding AI capabilities directly into the development experience, including inline code generation, contextual editing, and conversational interaction with code and data. -
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Learning Interpretability Tool
Interactively analyze ML models to understand their behavior
The Learning Interpretability Tool (LIT, formerly known as the Language Interpretability Tool) is a visual, interactive ML model-understanding tool that supports text, image, and tabular data. It can be run as a standalone server, or inside of notebook environments such as Colab, Jupyter, and Google Cloud Vertex AI notebooks. -
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D-Tale
Visualizer for pandas data structures
D-Tale is the combination of a Flask backend and a React front-end to bring you an easy way to view & analyze Pandas data structures. It integrates seamlessly with ipython notebooks & python/ipython terminals. Currently, this tool supports such Pandas objects as DataFrame, Series, MultiIndex, DatetimeIndex & RangeIndex. D-Tale was the product of a SAS to Python conversion. What was originally a perl script wrapper on top of SAS's insight function is now a lightweight web client on top of... -
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Wandesk
Give intelligence shape. Let AI sculpt your desktop
...Wandesk is local-first, works without signup, and can connect to providers such as Claude, Codex, DeepSeek, OpenAI, Kimi, Qwen, or any OpenAI-compatible endpoint. Built-in apps include Chat, Notebook, Ledger, Memory, Files, Tasks, Settings, Claude Code, Codex, and Open Source Radar. It is useful for users who want an AI workspace where apps, memory, and coding agents share context instead of living in separate chat threads. -
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Briefer
Dashboards and notebooks in a single place
...Users work in a Notion-style interface where they can build, organize, and share pages that contain executable code blocks, charts, text explanations, and interactive elements within the same document, enabling rich data storytelling and reproducible analytics. Briefer supports real-time collaboration, meaning multiple teammates can edit the same notebook or dashboard simultaneously and see changes live, which encourages shared analysis and decision making. -
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jupyterlab-git
A Git extension for JupyterLab
A JupyterLab extension for version control using Git. To see the extension in action, open the example notebook included in the Binder demo. Open the Git extension from the Git tab on the left panel. This extension tries to handle credentials for HTTP(S) connections (if you don't have set up a credential manager). But not for other SSH connections. The extension can cache temporarily (by default for an hour) credentials. To use the caching, you will need to check the option Save my login temporarily in the dialog asking your credentials. ... -
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Positron
Positron, a next-generation data science IDE
...Built on the open-source Code-OSS foundation, Positron provides a familiar coding experience along with specialized panes and tooling for variable inspection, data-frame viewing, plotting previews, and interactive consoles designed for analytical work. The IDE supports notebook and script workflows, integration of data-app frameworks (such as Shiny, Streamlit, Dash), database and cloud connections, and built-in AI-assisted capabilities to help write code, explore data, and build models. -
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Srcbook
TypeScript-centric app development platform
Srcbook is an open-source, local-first development environment that blends a TypeScript notebook with an AI-assisted app builder, giving developers a flexible space to prototype, explore, and build full web applications with AI support and real execution. It runs locally through a CLI tool backed by Node.js, launching a web interface where users can write and execute TypeScript code interactively, visualize results, and iterate quickly on ideas without leaving the browser. -
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JupyterLab LSP
Coding assistance for JupyterLab (code navigation + hover suggestions
...When a kernel is available the suggestions from the kernel (such as keys of a dict and columns of a DataFrame) are merged with the suggestions from the Language Server (in notebook). If the kernel is too slow to respond promptly only the Language Server suggestions will be shown (default threshold: 0.6s). You can configure the completer to not attempt to fetch the kernel completions if the kernel is busy. -
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ipyvolume
3d plotting for Python in the Jupyter notebook
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL. Create quiver plots (like scatter, but with an arrow pointing in a particular direction). Render in the Jupyter notebook, or create a standalone html page (or snippet to embed in your page). Render in stereo, for virtual reality with Google Cardboard. Animate in d3 style, for instance, if the x coordinates or color of a scatter plots changes. -
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Hydrogen
Run code interactively, inspect data, and plot
...By bringing the interactive style of Light Table to the rock-solid usability of Atom, Hydrogen makes it easy to write code the way you want to. You also may be interested in our latest project – interact – a desktop application that wraps up the best of the web-based Jupyter notebook. Watch expressions let you keep track of variables and re-run snippets after every change. Completions from the running kernel, just like autocomplete in the Chrome dev tools. Code can be inspected to show useful information provided by the running kernel. One kernel per language (so you can run snippets from several files, all in the same namespace). -
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starboard-notebook
In-browser literate notebooks
starboard-notebook is an in-browser literate notebook runtime that enables users to write, edit, and interact with computational documents directly in the browser without needing a traditional backend notebook server. The project is built around an innovative runtime that interprets code cells and markdown in a way that feels fluid and interactive, often bridging concepts from classical notebook tools with modern web technologies. -
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RetroLab
JupyterLab distribution with a retro look and feel
RetroLab (also known as JupyterLab Retro, previously called JupyterLab Classic) is a JupyterLab distribution with a retro look and feel, more similar to the classic Jupyter notebook. -
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HiPlot
HiPlot makes understanding high dimensional data easy
HiPlot is an interactive visualization toolkit for exploring high-dimensional experiments, especially those produced during hyperparameter search or ablation studies. Its core view is a parallel-coordinates plot that lets you brush, filter, and highlight runs to spot trade-offs, correlations, and Pareto fronts at a glance. You can load results from simple CSV/JSON logs or programmatically push “experiments” with typed fields, metrics, and tags. The UI supports dynamic filtering, color...
