Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
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Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
- plot-categories
- data-visualization
- contour-plots
- polar-plots
C++ implementation of the Python Numpy library
- python
- numpy
- c-plus-plus
- numerical-analysis
The Universal Storage Engine
- tiledb
- arrays
- storage-engine
- scientific-computing
Owl - OCaml Scientific Computing @ https://ocaml.xyz
- matrix
- linear-algebra
- ndarray
- statistical-functions
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
⚡ Datoviz: high-performance GPU rendering for scientific data visualization
- visualization
- graphics
- data-visualization
- scientific-visualization
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
- itk
- insight-toolkit
- jupyter
- jupyter-widget
Main yt repository
- data
- visualization
- analysis
- python
Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.
- matlab
- rust
- jit-compiler
- linear-algebra
Practical volume computation and sampling in high dimensions
- geometry
- statistics
- polyhedral-computations
- random-walk
Plotly for C++. A C++ interface to the Plotly.js figure spec, for creating interactive data visualizations.
The Mines Java Toolkit
- geophysics
- scientific-computing
- visualization
- mines-java-toolkit
Autonomous multi-agent framework to optimize scientific software
- acceleration
- agentic-ai
- ai-agents
- bioinformatics
Modern Pure Go implementation of the HDF5 file format
- go
- golang
- hdf5
- hdf5-format
Java Scientific Computing Library - Signal Processing, FFT, Filters, PSD, DCT, SciPy-like APIs for JVM & Android used in Machine Learning and Data Science.
- android
- java
- python
- scipy
Pure Go library for reading and writing MATLAB .mat files (v5-v7.3+). No CGo, no external dependencies. Full support for numeric types, complex numbers, and multi-dimensional arrays. Cross-platform (Windows/Linux/macOS). Part of SciGoLib ecosystem.
- cross-platform
- data-science
- go
- golang