The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:
- analytics
- businessintelligence
- dashboard
- reporting
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The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Visualizer for neural network, deep learning and machine learning models
🕸️ Web apps in pure Python 🐍
Data Apps & Dashboards for Python. No JavaScript Required.
1,324-exercise fitness dataset — animation GIFs, 180×180 thumbnails, muscle-group & equipment data, and step-by-step instructions in 6 languages. The exercise data layer behind the LogPress app.
All-in-one IoT Platform - Device management, data collection, processing and visualization.
Turns Data and AI algorithms into production-ready web applications in no time.
WebGL2 powered visualization framework
Highcharts JS, the JavaScript charting framework
♾ A Graph Visualization Framework in JavaScript.
A JavaScript library aimed at visualizing graphs of thousands of nodes and edges
OpenRefine is a free, open source power tool for working with messy data and improving it
Graph theory (network) library for visualisation and analysis
Modin: Scale your Pandas workflows by changing a single line of code
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A unified framework for machine learning with time series
Learning Convolutional Neural Networks with Interactive Visualization.
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
🦋 An Infographic Generation and Rendering Framework, bring words to life with AI!
🦄 Sourcerer app makes a visual profile from your GitHub and git repositories.
A scikit-learn compatible neural network library that wraps PyTorch
Automate code & data workflows with interactive Elixir notebooks