minto is a Python library designed for developers working on research and development or proof-of-concept experiments using mathematical optimization. Positioned similarly to mlflow in the machine learning field, minto provides features such as saving optimization results, automatically computing benchmark metrics, and offering visualization tools for the results.
Primarily supporting Ising optimization problems, plans to extend its support to a wide range of optimization problems, such as MIP solvers, in the future.
minto can be easily installed using pip.
pip install minto
Documentation: https://jij-inc.github.io/minto/
Tutorials will be provided in the future. Stay tuned!
See CONTRIBUITING.md
Copyright (c) 2023 Jij Inc.
FAQs
Experiment management and benchmark tools for mathematical optimization
We found that minto demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
Security News
MITRE's 2024 CWE Top 25 highlights critical software vulnerabilities like XSS, SQL Injection, and CSRF, reflecting shifts due to a refined ranking methodology.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.