|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Dash||19,412||804||544||a day ago||168||June 29, 2023||776||mit||Python|
|Nteract||6,060||24||27||8 days ago||85||July 18, 2023||189||bsd-3-clause||TypeScript|
|📘 The interactive computing suite for you! ✨|
|Dtale||4,265||17||a day ago||171||July 19, 2023||52||lgpl-2.1||TypeScript|
|Visualizer for pandas data structures|
|Bowtie||703||10||4 years ago||45||October 13, 2018||49||mit||Python|
|:bowtie: Create a dashboard with python!|
|Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demographics data b) Point of Interests from Open Street Map c) Google Popular Times|
|Dev Geeks||578||19 days ago||293||mit||Jupyter Notebook|
|open source project|
|Cartoonify||313||6 months ago||3||mit||Jupyter Notebook|
|Deploy and scale serverless machine learning app - in 4 steps.|
|Build dashboards using Jupyter Notebooks|
|Browser Ml Inference||221||a year ago||apache-2.0||Jupyter Notebook|
|Edge Inference in Browser with Transformer NLP model|
|Reacton||216||2 months ago||7||mit||Python|
|A pure Python port of React for ipywidgets|
nteract is an open-source organization committed to creating fantastic interactive computing experiences that allow people to collaborate with ease.
We build SDKs, applications, and libraries that help you and your team make the most of interactive (particularly Jupyter) notebooks and REPLs.
To learn more about the nteract open source organization and the rest of our projects, please visit our website.
This repo is a monorepo. It contains the code for the nteract core SDK and nteract's desktop and web applications. It also contains the documentation for the SDK and the applications. Here's a quick guide to the contents of the monorepo.
|applications/desktop||This folder contains the source code for the nteract desktop application. The desktop application is a cross-platform app built using Electron.|
|applications/jupyter-extension||This folder contains the source code the nteract Jupyter extension. This extension can be installed alongside Jupyter classic and JupyterLab in your Jupyter deployments or personal Jupyter server.|
|changelogs||This folder contains the changelogs for each release of the nteract core SDK and applications.|
If you are interested in contributing to nteract, please read the contribution guidelines for information on how to set up your nteract repo for development, how to write tests and validate changes, how to update documentation, and how to submit your code changes for review on GitHub.
If you are a developer who wants to build an nteract-based notebook application, check out the following documentation resources for more info.
|Link||What's in it?|
|docs.nteract.io||This page contains our how-to and tutorial style documentation. Get started learning about the nteract core SDK here.|
|packages.nteract.io||This page contains the API documentation for packages in our core SDK. Bookmark this and use it as a reference when building your nteract-based UI.|
|components.nteract.io||This page contains the documentation for our suite of composable React components. It contains code samples that you can reference when building your nteract-based UI.|
Our documentation is living. We are always making changes and adding more content. If you have feedback about the documentation, please open an issue in this repo. If you are interested in submitting a change to our documentation page, please review the contribution guidelines and submit a pull request.
To get started with the nteract desktop app, head over to the nteract homepage to download the application for your operating system.
Once you've download the app, head over to our documentation page for tutorials and guides on using the app for your data analysis and science workflows.
Development on nteract is also supported by the following organizations.