Open-source alternatives to Glumpy

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

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

Altair is a declarative data visualization library for Python based on the Vega-Lite grammar. It allows users to create statistical visualizations by mapping data fields to visual properties rather than writing imperative drawing code. The library focuses on interactive charting through a system of linked selections and filters that update multiple visualizations based on user input. It renders charts as JSON and HTML for display in web browsers and interactive notebooks. The project covers statistical data analysis and interactive data exploration, providing capabilities to export visuals a

Python 3D library.

Text mode diagrams using UTF-8 characters and fancy colors

ggplot port for python

This project is an exploratory data analysis library and profiling tool for Pandas and Spark DataFrames. It automates the initial investigation of datasets by generating comprehensive descriptive analysis reports, statistical summaries, and data quality warnings. The system functions as a data quality profiler to detect missing values, duplicate rows, and type inconsistencies. It includes a dataset comparison tool for identifying structural and content shifts between different versions of the same data, as well as specialized tools for time-series analysis to calculate auto-correlation and se

The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.

This project is a comprehensive library of practical Python code examples and patterns. It provides a collection of scripts and snippets designed to demonstrate a wide range of programming tasks, from basic syntax to advanced implementation patterns. The repository focuses on several core domains, including the implementation of concurrency and multithreading examples, data analysis snippets for cleaning and manipulating tabular data, and various data visualization examples. It also covers automation scripts for file system management and a variety of general programming patterns. Additional

LearnPython is a programming tutorial consisting of a collection of practical code examples used to demonstrate Python language features and programming patterns. It serves as a comprehensive learning resource that implements core language concepts through functional code. The project provides specialized guides and samples covering several key domains. These include asynchronous network programming with event loops and coroutines, data visualization using numerical datasets for 2D and 3D plots, and web scraping for fetching content and automating login flows. It also features instructions on

ng-apexcharts is an implementation of apexcharts for angular. It comes with one simple component that enables you to use apexcharts in an angular project.

Plotting library for IPython/Jupyter notebooks

This project is a business intelligence suite and SQL data visualization platform used for data analysis, reporting, and monitoring. It provides a web application for exploring datasets and building interactive dashboards, complemented by a web-based SQL query editor for analyzing raw data from connected stores. The platform features a semantic data layer to define standardized metrics and dimensions, ensuring consistent data interpretation across reports. It includes a security framework with role-based access control to manage user permissions and authentication across shared dashboards. T

Apache ECharts is a JavaScript data visualization library used for rendering interactive charts and complex data visualizations in web browsers. It functions as a canvas-based charting engine and a statistical data visualization suite that transforms datasets into visual representations. The framework provides specialized capabilities for three-dimensional data visualization, including the generation of 3D plots and globe visualizations. It also serves as a web-based geographic mapping tool for overlaying heatmaps, routes, and data distributions onto interactive maps. The library covers a br

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

Web UI for PrestoDB.

An Android chart and graph library

Plotting library for IPython/Jupyter notebooks

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

#jQuery.eraser v0.5.1

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

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

A powerful 🚀 Android/iOS chart view / graph view library, binding support for Xamarin.Forms, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, dragging and animations.

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