Simple HTML5 Charts using the <canvas> tag
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:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
- algorithm
- data-structure
- visualization
- animation
Visualizer for neural network, deep learning and machine learning models
Open-source JavaScript charting library behind Plotly and Dash
📊 Interactive JavaScript Charts built on SVG
Simple, responsive, modern SVG Charts with zero dependencies
Webpack plugin and CLI utility that represents bundle content as convenient interactive zoomable treemap
- webpack
- webpack-bundle-analyzer
- analyze
- bundle
A visualization grammar.
- visualization-grammar
- visualization
- canvas
- svg
Graph theory (network) library for visualisation and analysis
- cytoscapejs
- graph-theory
- visualisation
- analysis
📈 A small, fast chart for time series, lines, areas, ohlc & bars
- time-series
- ohlc
- line-chart
- performance
UAParser.js: The Essential Web Development Tool for User-Agent Detection. Detect Browsers, OS, Devices, Bots, Apps, AI Crawlers, and more. Run in Browser or Node
- user-agent-parser
- browser-detection
- user-agent
- client-hints
:bar_chart: A D3-based reusable chart library
Learning Convolutional Neural Networks with Interactive Visualization.
- deep-learning
- visualization
- interactive-visualizations
- visual-learning
Data Visualization Components
- uber
- chart
- data-visualization
- charting-library
📱📈An elegant, interactive and flexible charting library for mobile.
- mobile
- charts
- visualization
- grammar
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
- crossfilter
- visualization
- charting
A reusable charting library written in d3.js
JavaScript library for HTML5 & CSS3 time sheets
- timesheet
- javascript
- library
- chart
JavaScript toolkit for creating interactive real-time graphs
- rickshaw
- graph
- javascript
- d3
🔥 JavaScript Library for HTML5 canvas based heatmaps
- heatmaps
- data-visualization
- heat-maps
- dataviz
Textures.js is a JavaScript library for creating SVG patterns
Countly is a privacy-first, AI-powered analytics and engagement platform for understanding and optimizing customer journeys across digital applications, from desktop and mobile to IoT and connected environments.
- web-analytics
- dashboard
- mobile-analytics
- analytics
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
A proven SVG-based JavaScript diagramming library powering exceptional UIs