Skip to main content

FaMaPy is a Python-based AAFM framework that takes into consideration previous AAFM tool designs and enables multi-solver and multi-metamodel support for the integration of AAFM tooling on the Python ecosystem.

Project description

Famapy

FaMaPy is a Python-based AAFM framework that takes into consideration previous AAFM tool designs and enables multi-solver and multi-metamodel support for the integration of AAFM tooling on the Python ecosystem.

The main features of the framework are:

  • Easy to extend by enabling the creation of new plugins following a semi-automatic generator approach.
  • Support multiple variability models. Currently, it provides support for cardinality-based feature models. However, it is easy to integrate others such as attributed feature models
  • Support multiple solvers. Currently, it provides support for the PySAT metasolver, which enables more than ten different solvers.
  • Support multiple operations. It is developed, having in mind multi-model operations such as those depicted by Familiar and single-model operations.

Available plugins

famapy-fm famapy-sat

Documentation

All the proyect related documentation can be found in wiki format at wiki

Changelog

Detailed changes for each release are documented in the release notes

Contributing

See CONTRIBUTING.md

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

famapy-1.0.0.tar.gz (14.2 kB view hashes)

Uploaded source

Built Distribution

famapy-1.0.0-py3-none-any.whl (23.9 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page