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The climin package provides optimization methods focused on machine learning scenarios in Python.
About climin
climin is a Python package that provides optimization methods, with a focus on machine learning. It is built on numpy and, in part, on gnumpy. The project is distributed under the BSD 3-clause license and is hosted on GitHub. It was started in winter 2011 by Christian Osendorfer and Justin Bayer, and Sarah Diot-Girard, Thomas Rueckstiess and Sebastian Urban have also contributed. The repository lists its tested environment as Python 2.7 with numpy 1.10.4 and scipy 0.17, so newer versions are not covered by the stated tests. Academic users are asked to cite the project.
Key features
- Optimization methods focused on machine learning scenarios
- Built on numpy, with partial support for gnumpy
- Installable from a git clone using pip
- Includes a test suite run with nosetests
Best for: Python developers and researchers who need optimization methods for machine learning code and are comfortable installing from a git repository.
Good for
- Open source under the BSD 3-clause license
- Built on numpy, a widely used numerical library
- Includes a test suite and linked documentation
Watch out for
- Stated test environment is Python 2.7 with numpy 1.10.4 and scipy 0.17
- gnumpy support is described as partial
- Installation is documented as a git clone followed by a local pip install
climin at a glance
- Website
- github.com/BRML/climin
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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climin FAQ
What license does climin use?
climin is distributed under the BSD 3-clause license.
Which Python and library versions is climin tested with?
The software is tested under Python 2.7 with numpy 1.10.4 and scipy 0.17.
How do I install climin?
Clone the official repository with git, then run pip install --user -e . in the clone to install it in your local user space.
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