matplotlib
FrameworkOpen-source projects built with matplotlib
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 2 of 4
An iTerm2 backend for Matplotlib that renders plots directly in your terminal.
An open-source GNSS/INS simulation tool that generates sensor data, runs navigation algorithms, and visualizes results for inertial navigation systems.
A Python research toolkit for implementing and visualizing particle swarm optimization algorithms.
An open-source, plugin-based image processing framework in Python that integrates with numpy-based libraries like scikit-image and OpenCV.
A visual debugger for TensorFlow with breakpoints and real-time data visualization during neural network training.
A collection of Jupyter notebooks for financial economics, providing high-level APIs to retrieve, analyze, and visualize economic data from sources like FRED.
A Python library for 2D/3D object detection and instance segmentation in microscopy images using star-convex shapes.
A Python toolbox for quantitative evaluation of visual(-inertial) odometry trajectories using alignment methods and error metrics.
A flexible, fast recommender engine for Python that integrates classic information filtering algorithms with scientific Python packages.
An open-source tool for fast and accurate Optical Mark Recognition (OMR) from scanned documents or mobile photos.
A TensorFlow-based educational project for learning seq2seq RNNs through signal forecasting exercises.
A scalable, event-driven backtesting library for reinforcement learning in algorithmic trading, built on Backtrader with OpenAI Gym API.
A pure-Python inverse kinematics library for computing robot joint positions from end-effector poses.
A deep learning-enhanced Kalman filter for accurate vehicle dead reckoning using only an IMU sensor.
Learn statistics through Python with real-world examples like analyzing marijuana price data across US states.
A 100-day challenge with complete IoT projects using ESP32, ESP8266, and Raspberry Pi Pico with MicroPython, covering sensors, modules, and IoT techniques.
A diverse suite of scalable reinforcement learning environments written in JAX for hardware-accelerated research.
Dynamic analysis tool for Android applications that monitors runtime behavior, detects information leaks, and visualizes app activity.
A collection of IPython notebooks demonstrating data analysis and machine learning techniques on security datasets.
A Python library for creating ternary plots (triangular diagrams) using Matplotlib.
A Rust numeric library for linear algebra, numerical analysis, statistics, and machine learning with high performance and syntax inspired by R, MATLAB, and Python.
A ROS package for calibrating camera and LiDAR sensors using OpenCV's PnP and Levenberg-Marquardt optimization.
A pure Python library for finite element assembly, transforming bilinear forms into sparse matrices and linear forms into vectors.
A collection of IPython notebooks containing machine learning experiments and examples using scikit-learn and related Python libraries.
A Python library implementing Self-Organizing Maps (SOM) with batch training, PCA initialization, and visualization tools.
Automatically builds high-performance interpretable machine learning models with minimal features using a single line of code.
A multi-fidelity conceptual design environment for modeling future aircraft with advanced technologies.
A Python library for extracting a wide range of audio spectral features from mono audio files using efficient algorithms.
A visualization package for NetworkX graphs with publication-quality defaults and flexible customization options.
An AI-powered captcha solver using SimGAN to generate synthetic training data without manual labeling.
A comprehensive Jupyter notebook tutorial covering computer vision and machine learning basics using OpenCV and Keras in Python.
A Python library for class-imbalanced ensemble learning with 30+ algorithms, built on scikit-learn.
Jupyter notebooks implementing algorithms, proofs, and summaries from 'The Elements of Statistical Learning' textbook.
A Python package for creating interactive animated plots using Matplotlib.
A Python-native block diagram framework for simulating continuous-time, discrete-time, and hybrid dynamical systems.
A Python toolbox for image segmentation featuring superpixel segmentation, object center detection, and region growing with shape priors.
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.