Welcome to LifeCycles’ documentation!

lifecycles is a Python software package designed to track and analyze the longitudinal evolution of groups of items, e.g., data clusters, graph communities, etc.

If you would like to test lifecycles functionalities without installing it on your machine consider using the preconfigured Jupyter Hub instances offered by the H2020 SoBigData++ research project.

Date	Python Versions	Main Author	GitHub	pypl
2024	3.9 and up	Andrea Failla	Source	Distribution

LifeCycles Dev Team

Name	Contribution
Andrea Failla	Library Design, implementation, Documentation
Salvatore Citraro	Implementation
Rémy Cazabet	Implementation

Note

If you use lifecycles in your research, please cite it using the following BibTeX entry:

@article{Failla2024describing,
  title = {Describing group evolution in temporal data using multi-faceted events},
    ISSN = {1573-0565},
    url = {http://dx.doi.org/10.1007/s10994-024-06600-4},
    DOI = {10.1007/s10994-024-06600-4},
    journal = {Machine Learning},
    publisher = {Springer Science and Business Media LLC},
    author = {Failla,  Andrea and Cazabet,  Rémy and Rossetti,  Giulio and Citraro,  Salvatore},
    year = {2024},
    month = aug
  }