4 dépôts
Awesome GitHub RepositoriesScientific Plot Customizers
Tools for fine-tuning axis limits, ticks, labels, colormaps, annotations, and coordinate systems for scientific visualization.
Distinct from Plot Axis Customizers: Distinct from Plot Axis Customizers: encompasses broader scientific customization including colormaps, annotations, and specialized coordinate systems.
Explore 4 awesome GitHub repositories matching data & databases · Scientific Plot Customizers. Refine with filters or upvote what's useful.
Awesome Scientific Plot Customizers GitHub Repositories
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- dunovank/jupyter-themes
dunovank/jupyter-themes
9,822Voir sur GitHubjupyter-themes is a Jupyter Notebook theme manager and CSS interface customizer. It provides a command line tool to apply custom color schemes, fonts, and layout styles to notebook environments. The project includes a data visualization styling tool that synchronizes the aesthetic properties and color schemes of plotting libraries with the active interface theme. This ensures that data charts and figures remain visually consistent with the overall workspace theme.
Synchronizes the look of scientific data plots with the overall interface theme for professional presentations.
CSScssjupyterjupyter-notebook - garrettj403/scienceplots
garrettj403/SciencePlots
8,998Voir sur GitHubSciencePlots is a Matplotlib style library and scientific plotting framework designed to automate the formatting of figures for academic journals and professional scientific publications. It provides a collection of visual presets and configuration rules for academic typography, layout, and resolution. The project features curated color-blind accessible palettes and figure formatters specifically designed to meet the strict submission standards of academic publishers. It includes specialized tools for professional figure styling and the rendering of non-Latin scripts for multilingual support.
Provides tools for fine-tuning scientific plot elements to adhere to academic visual standards.
Pythoncjk-fontsieee-paperlatex - scottplot/scottplot
ScottPlot/ScottPlot
6,417Voir sur GitHubScottPlot 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
Offers scientific-grade customization of axes, ticks, labels, colormaps, annotations, and coordinate systems.
C#chartchartingcharts - pyqtgraph/pyqtgraph
pyqtgraph/pyqtgraph
4,297Voir sur GitHubPyQtGraph 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
Displays interactive line, scatter, and image plots using Qt's GraphicsView framework for fast visualization.
Pythonhacktoberfestnumpypython
