Apache ECharts is a powerful, interactive charting and data visualization library for browser
- echarts
- data-visualization
- charts
- charting-library
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Apache ECharts is a powerful, interactive charting and data visualization library for browser
Interactive Data Visualization in the browser, from Python
The interactive graphing library for Python :sparkles:
React components to build charts and dashboards
📊 Interactive JavaScript Charts built on SVG
📊 The concise and progressive visualization grammar.
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
A collection of composable React components for building interactive data visualizations
:bar_chart: A D3-based reusable chart library
📱📈An elegant, interactive and flexible charting library for mobile.
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
A reusable charting library written in d3.js
Create beautiful JavaScript charts with one line of Ruby
JavaScript toolkit for creating interactive real-time graphs
🔥 JavaScript Library for HTML5 canvas based heatmaps
Immediate Mode Plotting
The AI-native JSON Gantt chart engine. Dependency-free interactive timelines with React, script-tag, CLI, topological DAG solver, and formal JSON schema.
📊 Re-usable, easy interface JavaScript chart library based on D3.js, with SVG and Canvas rendering support
A concise grammar of interactive graphics, built on Vega.
Beautiful, interactive charts, maps, and gauges. One API for every .NET UI framework.
Automatically visualize your pandas dataframe via a single print! 📊 💡
An adaptive scrollable graph view for iOS to visualise simple discrete datasets. Written in Swift.
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
Visual analysis and diagnostic tools to facilitate machine learning model selection.