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Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Apache ECharts is a powerful, interactive charting and data visualization library for browser
The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Database diagrams editor that allows you to visualize and design your DB with a single query.
Open-source IoT Platform - Device management, data collection, processing and visualization.
Interactive Data Visualization in the browser, from Python
The interactive graphing library for Python :sparkles:
Open-source JavaScript charting library behind Plotly and Dash
WebGL2 powered visualization framework
Open3D: A Modern Library for 3D Data Processing
♾ A Graph Visualization Framework in JavaScript.
A visualization grammar.
Graph theory (network) library for visualisation and analysis
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
Gephi - The Open Graph Viz Platform
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Automate code & data workflows with interactive Elixir notebooks
A proven SVG-based JavaScript diagramming library powering exceptional UIs
Visualizer for pandas data structures
🦋 An Infographic Generation and Rendering Framework, bring words to life with AI!
A cinematic Git commit replay tool for the terminal, turning your Git history into a living, animated story.
A collection of infrastructure and tools for research in neural network interpretability.
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Fast data visualization and GUI tools for scientific / engineering applications
🤖 A visualization mcp & skills contains 25+ visual charts using @antvis. Using for chart generation and data analysis.