Plotting
Showing 28 of 28 projects
A comprehensive Python library for creating static, animated, and interactive visualizations and publication-quality figures.
An interactive visualization library for modern web browsers, built from Python.
A fast, GPU-accelerated GUI framework for Python with modern themes, plotting, and node editing.
A Python visualization library based on matplotlib for creating attractive statistical graphics with a high-level interface.
A small, fast Canvas 2D-based charting library for time series, lines, areas, ohlc, and bars.
A declarative graphics system for R that implements the Grammar of Graphics to create complex visualizations from data.
An immediate mode, GPU-accelerated plotting library for Dear ImGui, designed for real-time data visualization.
An adaptive scrollable graph view for iOS to visualize simple discrete datasets, written in Swift.
A C++ graphics library for data visualization with interactive plotting, high-quality export, and dozens of plot categories.
A header-only C++ plotting library that provides a simple API similar to Matlab and matplotlib.
A Rust drawing library for high-quality data plotting with support for both WASM and native applications.
A Python implementation of a grammar of graphics for creating complex and beautiful statistical plots.
A pure-Python graphics library for fast data visualization and GUI tools in scientific and engineering applications.
Run code interactively, inspect data, and plot using Jupyter kernels directly inside the Atom text editor.
A Java dataframe and visualization library for data loading, cleaning, transformation, and analysis.
A Python implementation of the grammar of graphics for creating statistical visualizations.
A Python library that simplifies chart creation for data scientists with consistent data formats and smart defaults.
A Python library that simplifies chart creation for data scientists with consistent data formats and smart defaults.
A cross-platform plotting library for .NET that creates charts and graphs in desktop, web, and mobile applications.
A Go library for building and drawing plots and visualizations with a flexible API and multiple backends.
A Python library that lets you annotate data with visualization semantics, allowing your data to visualize itself.
A 2D plotting framework for macOS, iOS, and tvOS, highly customizable and capable of drawing many types of plots.
A powerful cross-platform desktop calculator library and CLI with symbolic math, unit conversion, arbitrary precision, and plotting.
An intuitive Python library that adds single-line plotting functions for scikit-learn and other machine learning objects.
An interactive data visualization tool that brings matplotlib graphics to the browser using D3.js.
3D plotting for Python in Jupyter notebooks using WebGL and IPython widgets.
A plotting and data visualization system for Julia, implementing the Grammar of Graphics.
A lightweight Java library for plotting data with minimal setup and extensive customization options.
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