Search Results for "web-based notebook"
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Showing 18 open source projects for "web-based notebook"
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1
Open Notebook
An Open Source implementation of Notebook LM with more flexibility
Open Notebook enables users to organize and analyze multi-modal content such as PDFs, videos, audio files, web pages, and Office documents. It combines full-text and vector search with context-aware AI chat to deliver insights grounded in your own research materials. With advanced features like multi-speaker podcast generation, customizable content transformations, and a comprehensive REST API, Open Notebook provides a powerful and extensible research environment. -
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nbdime
Tools for diffing and merging of Jupyter notebooks
nbdime provides tools for diffing and merging 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. ... -
3
polynote
A better notebook for Scala (and more)
...Unlike many notebook environments that are tied to a single language kernel, Polynote tracks and manages state consistently across cells based on execution order and cell dependencies, which reduces hidden state and makes notebooks more reproducible and understandable. -
4
Deepnote
Deepnote is a drop-in replacement for Jupyter
...The system supports programming languages such as Python, R, and SQL and allows users to execute and analyze data directly within interactive notebooks. 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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5
Pretzel AI
The modern replacement for Jupyter Notebooks
...Users can interact with AI models through commands within cells or via a sidebar interface, enabling tasks such as debugging, code explanation, and automated transformations. The platform supports multiple AI providers and allows users to configure their preferred models, including cloud-based or local deployments, giving flexibility and control over how AI is used. PretzelAI maintains compatibility with familiar notebook workflows while enhancing productivity through features like auto-completion, variable-aware prompts, and error correction. -
6
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. ... -
7
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 Desktop
JupyterLab desktop application, based on Electron
JupyterLab Desktop is the cross-platform desktop application for JupyterLab. It is the quickest and easiest way to get started with Jupyter notebooks on your personal computer, with the flexibility for advanced use cases. 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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JupyterLite
Wasm powered Jupyter running in the browser
JupyterLite is a browser-based distribution of the Jupyter ecosystem that enables interactive computing entirely within a web browser without requiring a backend server. Built using JupyterLab components and powered by WebAssembly technologies, it allows users to run Python and other language kernels directly in the browser through tools like Pyodide or Xeus. -
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10
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. -
11
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. -
12
Briefer
Dashboards and notebooks in a single place
Briefer is an open-source collaborative data platform that brings notebooks, dashboards, and interactive data apps into a unified workspace that combines the flexibility of code with the simplicity of visual exploration. It’s designed so technical users can write Markdown, SQL, and Python side by side for data analysis, visualization, and reporting, while non-technical viewers can interact with results through inputs, dropdowns, and date pickers without writing any code. Users work in a... -
13
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... -
14
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. -
15
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. -
17
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... -
18
Cloud Annotations
A fast, easy and collaborative open source image annotation tool
...For object detection, use the integrated tool to highlight target elements in your images. Train your model using the image annotations from the previous step. Practice using cutting-edge tools like Jupyter Notebook, Watson Machine Learning, Elyra, and more.
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