PyPSA: Python for Power System Analysis

A program for financial portfolio management, analysis and optimisation.

Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/

A multi-scale energy systems modelling framework

State-of-the art Automated Machine Learning python library for Tabular Data

Linear optimization with N-D labeled arrays in Python

The Solar Optimizer integration for Home Assistant starts and stops your equipments depending on the Solar net production

A versatile python framework for tomographic imaging

Optimal Scheduling of Electric Vehicle Charging in Distribution Networks

OptiMac is a comprehensive, user-friendly macOS optimization suite that brings powerful system tweaks and performance enhancements to your M-Series Mac through an intuitive graphical interface. No more complex terminal commands – optimize your Mac with just a few clicks!

Differentiable optical models as parameterised neural networks in Jax using Zodiax

A derivative-free solver for general nonlinear optimization.

SAMO: Streaming Architecture Mapping Optimisation

Python executable for design of hollow reinforced concrete sections under combined actions

An environment-agnostic framework for comparing intersection control algorithms

A quantitative trading strategy backtester with an interactive dashboard. Enables users to implement, test, and visualise trading strategies using historical market data, featuring customisable parameters and key performance metrics. Developed with Python and Polars.

ADAPT is designed for the inverse parameter identification of constitutive material models using mathmatical optimisation. It is designed to work with finite element simulations but its modular implementation offers an interface to basically any simulation framework. The tool is able to use global data such as forces as well as local data such a…

A package for the optimisation of numerical responses

Gaussian-Processes Surrogate Optimisation in python

A Python API to automatically cast graph-related optimisation problems into ILP instances for Gurobi