Interactive Data Visualization in the browser, from Python
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The interactive graphing library for Python :sparkles:
Open-source JavaScript charting library behind Plotly and Dash
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
A concise grammar of interactive graphics, built on Vega.
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
Visual analysis and diagnostic tools to facilitate machine learning model selection.
3D visualization and mesh analysis for science and engineering
Vizro is a low-code toolkit for building high-quality data visualization apps.
Java dataframe and visualization library
Python library that makes it easy for data scientists to create charts.
Visualise Go runtime metrics in real time
:dango: An interactive and responsive charting library based on G2.
The Composer of ggplots
An intuitive library to add plotting functionality to scikit-learn objects.
An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal.
:lock_with_ink_pen: Opinionated, typographic-centric ggplot2 themes and theme components
:round_pushpin: Repel overlapping text labels away from each other in your ggplot2 figures.
Visualize large time series data with plotly.py
Accelerating ggplot2
:christmas_tree:Visualization and annotation of phylogenetic trees
This library packages the well-known charting library plotly.js into a razor component that can be used in a Blazor project.
A visual exploratory tool on correlation matrix
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning