gamsapi is a Python package that includes submodules to control GAMS, manipulate and transfer data to/from the GAMS modeling system (through GDX files or in-memory objects). This functionality is available from a variety of different Python interfaces including standard Python scripts and Jupyter Notebooks. We strive to make it as simple as possible for users to generate, debug, customize, and ultimately use data to solve optimization problems -- all while maintaining high performance.
Here are just a few of the things that gamsapi does well:
The source code is currently available with any typical GAMS system. No license is needed in order to use gamsapi. A license is necessary in order to solve GAMS models.
A free demo license is available!
Installing gamsapi will not install any third-party dependencies, as such, it only contains basic functionality. Users should modify this base installation by choosing extras to install -- extras are described in the documentation.
# from PyPI (with extra "transfer")
pip install gamsapi[transfer]
# from PyPI (with extras "transfer" and "magic")
pip install gamsapi[transfer,magic]
# from PyPI (include all dependencies)
pip install gamsapi[all]
The official documentation is hosted on gams.com.
For usage questions, the best place to go to is GAMS. General questions and discussions can also take place on the GAMS World Forum.
If you have a design request or concern, please write to support@gams.com.
FAQs
GAMS Python API
We found that gamsapi 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.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.
Security News
The Ultralytics' PyPI Package was compromised four times in one weekend through GitHub Actions cache poisoning and failure to rotate previously compromised API tokens.