14 repositorios
Methodologies for creating high-quality scientific 2D and 3D graphical representations.
Distinct from Plotting and Visualization: Focuses on the workflow and quality of publication-ready plots, which is broader than specific 2D histogram visualizers.
Explore 14 awesome GitHub repositories matching graphics & multimedia · Data Plotting Workflows. Refine with filters or upvote what's useful.
This project is a collection of interactive Python notebooks and educational resources designed for mastering data science, machine learning, and numerical computing. It provides a series of practical guides and tutorials covering deep learning, big data processing, and statistical analysis. The repository features specialized instructional suites for implementing classical machine learning algorithms, building deep learning model architectures, and managing AWS cloud infrastructure. It includes dedicated notebooks for data visualization and numerical computing exercises. The project covers
Provides a workflow for creating publication-quality 2D and 3D plots and maps using matplotlib.
FriendsDontLetFriends is a scientific data visualization guide and framework designed to help users create accurate plots while avoiding common data representation mistakes. It provides a collection of scripts and guidelines for selecting distribution plots, color scales, and layouts that accurately represent complex experimental data. The project distinguishes itself through specialized toolkits for revealing hidden patterns in large datasets. It includes systems for heatmap optimization via dimension reordering and outlier management, as well as spatial layout algorithms to improve the inte
Implements a methodology for selecting appropriate distribution plots and color scales for complex scientific data.
Smile is a comprehensive JVM machine learning library and statistical computing toolkit. It provides a suite of algorithms for classification, regression, and clustering, implemented natively for Java, Scala, and Kotlin. The project also functions as a deep learning framework, a natural language processing library, and an inference engine for large language models. The library distinguishes itself through GPU acceleration via LibTorch bindings and support for the ONNX model interchange format. It includes specialized capabilities for large language model inference, featuring Byte-Pair Encodin
Generates interactive 2D and 3D scatter plots and histograms for scientific data exploration.
ScottPlot is a cross-platform, high-performance charting library for .NET that renders interactive plots across desktop and web GUI frameworks including Windows Forms, WPF, MAUI, Avalonia, Blazor, and WinUI. It provides an optimized rendering engine capable of displaying millions of data points with interactive pan, zoom, and live data streaming, while also supporting image export to formats like PNG and SVG for file output, cloud applications, and notebooks. The library distinguishes itself through a comprehensive set of chart types including scatter, line, bar, pie, heatmap, financial, rada
Export the current chart to a PNG file at a specified size for sharing or storage.
Flot is an interactive charting library for jQuery that renders line, bar, pie, and time-series plots with zooming and panning. It provides interactive plots for engineering and scientific data with customizable axes, scales, and series styles, and supports real-time data updates. The library is built as a jQuery plugin with a canvas-based rendering pipeline and a plugin extension system that allows third-party code to add new chart types, interactions, and data transformations. The library distinguishes itself through a broad range of specialized chart types, including candlestick, bubble, r
Creates interactive line, scatter, and image plots for scientific and engineering data.
Saves the current plot view as a raster image file for sharing or embedding in reports.
Provides a constructor for creating 2D plots with configurable axes and styling.
Esta librería de visualización de datos en C++ es un framework de trazado científico utilizado para crear gráficos 2D y 3D, grafos de red y mapas geográficos. Opera como una librería de gráficos multi-backend, desacoplando la lógica de trazado de alto nivel de los motores de renderizado de bajo nivel para soportar varios backends de salida. El proyecto se distingue por una API de interfaz dual, que proporciona tanto una interfaz funcional global para prototipado rápido como una interfaz orientada a objetos para un control preciso. Cuenta con un motor de diseño basado en componentes para gestionar cuadrículas y subgráficos, junto con un estado de trazado en capas que permite superponer múltiples series de datos sin borrar los ejes. La librería cubre una amplia gama de capacidades de visualización, incluyendo trazado de funciones matemáticas, campos vectoriales y análisis de datos multidimensionales mediante mapas de calor y coordenadas paralelas. Incluye herramientas especializadas para la visualización de datos geográficos, como gráficos geobubble y geodensity, así como herramientas para renderizar redes de grafos dirigidos y no dirigidos. Las capacidades generales incluyen gestión de ejes, estilo estético con mapas de colores y exportación de gráficos de alta calidad. El proyecto utiliza CMake para la automatización de la compilación y la recuperación de dependencias para facilitar la instalación en diferentes sistemas operativos.
Generates publication-quality figures featuring error bars, logarithmic scales, and contour plots.
matplotlib-cpp es una biblioteca C++ de solo cabecera y wrapper que permite la creación de visualizaciones 2D y 3D llamando a funciones de Matplotlib directamente desde código C++. Sirve como una interfaz de trazado para generar gráficos de líneas, barras y superficies utilizando un backend basado en Python. La biblioteca está diseñada como una integración ligera que proporciona capacidades de trazado sin requerir un proceso de compilación complejo o binarios compilados. Cubre una gama de capacidades de visualización, incluyendo renderizado de datos multidimensionales, trazado de campos vectoriales y la disposición de múltiples subgráficos. El kit de herramientas también admite la producción de animaciones dinámicas y la exportación de las visualizaciones generadas como archivos de imagen.
Provides programmatic construction of 2D and 3D charts, including line, surface, and quiver plots.
Plotters is a data visualization library for the Rust programming language used to create 2D and 3D charts, plots, and mathematical visualizations. It functions as a multi-backend rendering engine and coordinate mapping framework that translates raw data values into pixel coordinates through customizable chart contexts. The library distinguishes itself through its ability to export graphics to multiple formats, including SVG, BitMap, and HTML5 canvas. It provides specific capabilities for 3D graphics plotting, featuring adjustable camera viewpoints and projection matrices to manage spatial da
Provides programmatic construction of 2D plots with configurable axes, data series, and labels.
Briefer es una plataforma de cuadernos de datos interactivos y herramienta de panel de inteligencia de negocios utilizada para el análisis y reporte de datos colaborativo. Proporciona un entorno contenerizado para construir informes que combinan SQL, Python y Markdown con visualizaciones nativas. La plataforma cuenta con un asistente de código integrado que utiliza modelos de lenguaje grandes para generar snippets de SQL y Python a partir de prompts de lenguaje natural. Está diseñada como una aplicación de datos de Kubernetes, desplegándose a través de gráficos Helm para gestionar entornos de cómputo aislados y garantizar recursos separados por página a través de aislamiento basado en pods. El sistema cubre una amplia gama de capacidades, incluyendo conectividad a bases de datos externas, co-edición en tiempo real y entrega automatizada de informes mediante programación. Se integra con OpenID Connect para el aprovisionamiento de identidad y proporciona control de acceso basado en roles, gestión segura de credenciales y almacenamiento en caché de consultas basado en resultados. La aplicación se despliega y escala a través de clústeres de Kubernetes utilizando gráficos Helm gestionados.
Saves data plots and visualizations generated by code or blocks as PNG image files.
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
Creates interactive line, scatter, and image plots for real-time exploration of scientific and engineering data.
MNE-Python is an open-source Python library for processing, visualizing, and analyzing human neurophysiological data, including MEG, EEG, sEEG, ECoG, and NIRS recordings. It provides a comprehensive framework for loading data from over 30 proprietary file formats into a common hierarchical FIF data structure, and represents all time-series data as NumPy arrays for seamless integration with the scientific Python ecosystem. The library is built around object-oriented data containers that encapsulate raw, epoched, evoked, and source data with built-in preprocessing and visualization methods. The
Provides specialized butterfly-style evoked response plotting with channel-type grouping and global field power overlay.
Makie.jl is a high-performance Julia data visualization library and hardware-accelerated plotting engine used to create interactive 2D and 3D visualizations. It functions as a reactive visualization framework where plots update automatically via observables and compute graphs, and as a vector graphics generator for high-resolution academic output. The system is distinguished by its backend-agnostic rendering pipeline, which supports OpenGL, WebGL, and ray-traced scenes. It employs a grammar-of-graphics approach to map variables to aesthetic attributes and utilizes a hierarchical scene graph t
Generates high-performance 2D and 3D plots including lines and surfaces to visualize complex datasets.