matplotlib: plotting with Python
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Statistical data visualization in Python
An open access book on scientific visualization using python and matplotlib
- python
- matplotlib
- dataviz
- scientific-publications
Open Machine Learning Course
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
- plot-categories
- data-visualization
- contour-plots
- polar-plots
Visual analysis and diagnostic tools to facilitate machine learning model selection.
- machine-learning
- visual-analysis
- model-selection
- visualization
:bar_chart: Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.
- python
- tikz
- matplotlib
- pgfplots
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Cartopy - a cartographic python library with matplotlib support
- cartopy
- matplotlib
- python
- geometry
An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal.
- python
- iterm2
- matplotlib
- plot
A set of useful perceptually uniform colormaps for plotting scientific data
- holoviz
- colorcet
- colormaps
- matplotlib
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
- pandas
- pandas-summary
- dataframes
- data-science
A python package for animating plots build on matplotlib.
- plotting
- animation
- data-visualization
- python
A Python module for time-frequency analysis
- python
- scipy
- signal-processing
- time-frequency-analysis
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
- tensorflow
- python3
- keras
- resnet-101
Generate graphs and charts based on password cracking result
- cracking
- hashcat
- matplotlib
- password
C++ modules for plotting, graphing and data visualization
Matplotlib for Elixir
- elixir
- elixir-lang
- matplotlib
- python
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.
- art-history
- color-analysis
- color-extraction
- color-palette