Projects sharing features with Cartopy

Seaborn is a Python library designed for statistical data visualization. It functions as a high-level interface built on the Matplotlib ecosystem, providing specialized routines to explore and communicate complex patterns within datasets. The framework enables users to generate informative graphics through automated statistical aggregation, multi-plot faceting, and integrated regression modeling. The library distinguishes itself through a declarative approach to data mapping, which translates raw inputs into visual properties like color, size, and position. It includes a robust statistical tr

Plotnine is a data visualization library for Python based on the Grammar of Graphics. It serves as a declarative statistical plotting framework and multi-panel plotting engine, allowing users to create complex charts by mapping data variables to visual properties such as position, color, and size. The project is distinguished by its use of a layered composition model and a statistical transformation engine that performs aggregations and computations before rendering visuals. It features a comprehensive system for multi-panel faceting, which enables the splitting of a single visualization into

Matplotlib is a Python data visualization library and 2D plotting engine used to generate publication-quality figures and charts from numerical data. It serves as a numerical graphics library and data visualization toolkit for mapping data to visual elements. The library provides capabilities for producing static, animated, and interactive visualizations. This includes creating high-resolution figures for professional documents, generating moving graphics to illustrate data evolution over time, and building dynamic plots for interactive data exploration. The toolkit supports scientific plott

Plotly.py is a comprehensive framework for building production-ready data applications and interactive dashboards directly from Python code. It functions as both a high-performance visualization library for browser-based charts and a full-stack tool for transforming analytical scripts into responsive, web-based interfaces. By abstracting away the need for manual HTML or JavaScript, it allows developers to define complex layouts and functional logic using modular, reusable components. The framework distinguishes itself through a robust architecture that handles event orchestration and state sy

Altair is a declarative data visualization library for Python that generates Vega-Lite specifications. It functions as a tool for mapping data to graphical marks using a high-level syntax, allowing users to describe the desired visual outcome instead of writing imperative drawing commands. The framework enables the creation of interactive charts and graphics, including linked views and filtered displays that respond to user input in real time. It supports the design of multi-view dashboards by combining visualizations into layered or faceted layouts. The library provides capabilities for sta

Bokeh is a Python data visualization library and interactive plotting framework used to create high-performance graphics and data dashboards that render in web browsers. It serves as a tool for generating standalone HTML documents, embedded components for digital notebooks, and full-stack web applications powered by a Python backend. The project distinguishes itself through its ability to handle large or streaming datasets while maintaining smooth interactivity. It enables linked brushing across multiple views, allowing data selected in one plot to automatically highlight corresponding data i

PyQtGraph is a scientific plotting and graphics framework built for PyQt and PySide applications, providing fast, interactive 2D and 3D visualizations with GPU-accelerated rendering. It serves as both a real-time signal monitoring system for streaming time-series data and a toolkit for constructing interactive data dashboards with dockable panels, parameter trees, and custom widgets. The library also includes a node-based visual flowchart tool for building data processing pipelines and a scientific graphics export system that saves plots as PNG, SVG, or CSV and converts items to Matplotlib for

Dash is a Python-based framework for building analytical web applications and reactive data dashboards. It allows developers to connect data science and machine learning code to interactive web interfaces without writing JavaScript, serving as a backend-driven tool for defining layouts and managing state. The framework integrates the Plotly charting engine to render a wide variety of complex charts and financial graphs. It distinguishes itself through a reactive callback system that links user input components to data visualizations, enabling the creation of business intelligence dashboards a

A lightweight JavaScript graphics library with the intuitive API, based on SVG/VML technology.

jQuery plugin for AnyChart provides an easy way to use AnyChart JavaScript Charts with jQuery framework.

aldeed:tabular

This project is a Model Context Protocol server that enables large language models to generate and render data visualizations, charts, and diagrams. It functions as a toolset for AI assistants to transform raw data into professional visual representations. The server utilizes an intelligent selection layer to determine the most effective visualization format based on the provided data. It supports remote rendering via external HTTP services and provides the flexibility to route requests to self-hosted rendering endpoints for private network environments. Capabilities cover a wide range of da

Angular 22+ library for D3 based line, bar, donut and date/timeline charts with multiple entry points. A configurable service for token handling is provided.

Go Language Library for SVG generation

A beautiful bezier line chart widget for flutter that is highly interactive and configurable.

A nim library for making graphs with GraphViz and DOT (based on PyGraphviz)

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

The newest, fastest, and most advanced amCharts charting library for JavaScript and TypeScript apps.

Babylon.js is a JavaScript game engine and real-time graphics renderer designed for creating interactive three-dimensional visuals and applications. It functions as a web-based 3D framework and WebGL engine that enables the deployment of high-performance 3D content across various web platforms and devices. The project provides tools for web-based 3D game development, real-time graphics rendering, and the creation of browser-based interactive visualizations. It also supports the development of WebXR virtual and augmented reality experiences using standard web technologies. The framework cover

Peity is a lightweight SVG data visualization library that transforms numeric text content and HTML attributes into small pie, donut, bar, and line charts. It functions as an attribute-driven renderer and a progressive enhancement tool, adding vector graphics to web pages by reading data directly from the DOM without requiring heavy JavaScript frameworks. The library supports custom drawing functions and dynamic color assignments, allowing for the registration of new chart types and the use of custom functions to determine segment colors. Its capability surface covers the rendering of mini d

An Android chart and graph library

bqplot is an interactive data visualization library for Jupyter notebooks. It implements a grammar of graphics model, allowing users to build complex 2D charts by combining marks, scales, and axes. The library distinguishes itself with specialized toolkits for financial charting, such as OHLC candlesticks and time-series analysis, and geographic data visualization, including choropleths and custom map projections for TopoJSON and GeoJSON data. It enables deep interaction through tools like lasso selection, rectangular brushing, and the ability to manually manipulate plot points or line data.

Python library for interactive topic model visualization. Port of the R LDAvis package.

#jQuery.eraser v0.5.1

A reactive table for Meteor, using Blaze.

Glot is a plotting library for Golang built on top of gnuplot.