|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Superset||55,446||21||2 days ago||6||April 18, 2023||1,657||apache-2.0||TypeScript|
|Apache Superset is a Data Visualization and Data Exploration Platform|
|Dash||19,713||804||634||3 days ago||174||November 28, 2023||804||mit||Python|
|Nteract||6,074||24||27||2 months ago||85||July 18, 2023||189||bsd-3-clause||TypeScript|
|📘 The interactive computing suite for you! ✨|
|Dtale||4,355||23||3 days ago||178||November 29, 2023||55||lgpl-2.1||TypeScript|
|Visualizer for pandas data structures|
|Bowtie||703||10||1||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|
|Dash.jl||473||4 days ago||40||mit||Julia|
|Dash Table||416||3||2 years ago||31||August 24, 2023||230||mit||Python|
|A First-Class Interactive DataTable for Dash|
|Create data science and AI web apps in R|
|Openuba||264||a year ago||23||gpl-3.0||Python|
|A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [PRE-ALPHA]|
Built on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read our tutorial (proudly crafted ❤️ with Dash itself).
Docs: Create your first Dash app in under 5 minutes
dash.gallery: Dash app gallery with Python & R code
|Here’s a simple example of a Dash App that ties a Dropdown to a Plotly Graph. As the user selects a value in the Dropdown, the application code dynamically exports data from Google Finance into a Pandas DataFrame. This app was written in just 43 lines of code (view the source).|
|Dash app code is declarative and reactive, which makes it easy to build complex apps that contain many interactive elements. Here’s an example with 5 inputs, 3 outputs, and cross filtering. This app was composed in just 160 lines of code, all of which were Python.|
|Dash uses Plotly.js for charting. About 50 chart types are supported, including maps.|
|Dash isn't just for dashboards. You have full control over the look and feel of your applications. Here's a Dash App that's styled to look like a PDF report.|
With Dash Open Source, Dash apps run on your local laptop or workstation, but cannot be easily accessed by others in your organization.
Scale up with Dash Enterprise when your Dash app is ready for department or company-wide consumption. Or, launch your initiative with Dash Enterprise from the start to unlock developer productivity gains and hands-on acceleration from Plotly's team.
ML Ops Features: A one-stop shop for ML Ops: Horizontally scalable hosting, deployment, and authentication for your Dash apps. No IT or DevOps required.
Low-Code Features: Low-code Dash app capabilities that supercharge developer productivity.
Enterprise AI Features: Everything that your data science team needs to rapidly deliver AI/ML research and business initiatives.
See https://plotly.com/contact-us/ to get in touch.