There are currently 125 open-source projects built with matplotlib, with a combined total of 333.7k GitHub stars. The most common language among these projects is Python.
Showing 125 open-source projects · page 4 of 4
A transparent Elixir wrapper for matplotlib.pyplot that enables Python-style plotting from Elixir code.
A 1D3V particle-in-cell simulation code for plasma physics, accelerated using JAX for performance on CPUs, GPUs, and TPUs.
A deep learning-based password cracking tool that uses adaptive dynamic mangling rules to reduce bias in real-world password strength modeling.
An end-to-end Python system for time series data analysis with in-database machine learning using TDengine.
A Jupyter notebook extension for creating Wardley Maps using a simple cell magic syntax.
A tutorial on implementing circuit-centric quantum classifiers using Microsoft's Quantum Development Kit and Q#.
A Python toolset for inferring probabilistic transit schedules from GPS data and GTFS feeds.
A lightweight face detection and recognition system designed for IoT devices like Raspberry Pi, using Microsoft's Face API.
Python script to measure FPV VTX signal strength using an Immersion RF-Meter V2 and store data in InfluxDB.
A theme generator for Omarchy that extracts colors from images and builds consistent themes across desktop applications.
Text and supporting code for Think Stats, 2nd Edition, a practical introduction to statistics for programmers.
A simple interface for converting ROOT nTuples to NumPy arrays and using them in TensorFlow for neural network training.
A lightweight Python backtesting framework for Ethereum moving-average trading strategies using Pandas and NumPy.
A Python library for analyzing mRNA and protein spatial and temporal distributions in single-cell confocal microscopy images.
A Python package for teaching computational methods through art history by analyzing artist works from WikiArt with comprehensive color analysis.
A machine learning project that predicts flight ticket prices using airline, route, and timing data.
A demonstration of using Golem for parallel processing of circadian rhythm data analysis with matplotlib visualizations.
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