A 3D chart library for Java applications (JavaFX, Swing or server-side).
- javafx
- 3d-charts
- swing
- java2d
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A 3D chart library for Java applications (JavaFX, Swing or server-side).
TranslatedA conversational AI Skill based on McDonald's official MCP, supporting meal recommendations, store price comparison, coupon lookup, nutrition calculation, and exploration records, and generating voxel-style shareable images through Python.
TranslatedMcCosmos · 麦门星图 (Maimen Xingtu, "McDonald's Star Map") | A Skill for meal nutrition comparison and alternative discovery based on McDonald's MCP, providing a standalone runnable package, explainable analysis, and a 3D star map.
High performance, editable, stylable datagrids in jupyter and jupyterlab
A lightweight component abstraction for D3.js.
daru-view is for easy and interactive plotting in web application & IRuby notebook. daru-view is a plugin gem to the existing daru gem.
🌍 Geospatial Visualization Chart Library
A Consistent Data Visualizer for Agents and Humans
A curated list of awesome Qlik extensions and resources for Qlik Sense and QlikView
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
C++ modules for plotting, graphing and data visualization
Analytical Django Apps. No JavaScript Required.
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
Collection of composable D3 components built with ember-d3-helpers
A local development tool for experimenting with vector tiles
Turn CSV, Excel, and read-only databases into verified, editable business reports.
Svelte v5 table component suitable for examination of extensive tabular data.
Discover your unique music story. Explore your top tracks, artists, genres, and musical eras.
Translated🗺️ Research Data Map — AI-driven global research visualization platform | Research Data Map with 250M+ papers
Modern, interactive charts for Jupyter notebooks with Apache ECharts
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.
Data Science Notebook for F# interactive