PhilanthroPy/CITATION.cff at main · PhilanthroPy-Project/PhilanthroPy · GitHub

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cff-version: 1.2.0
message: "If you use PhilanthroPy in your research, please cite it as below."
title: "PhilanthroPy: A scikit-learn-native toolkit for leakage-safe donor analytics in nonprofit and academic medical center fundraising"
abstract: >-
  PhilanthroPy is a production-ready, scikit-learn native library for nonprofit
  and academic medical center (AMC) fundraising analytics: donor propensity,
  lapse prediction, planned-giving intent, wealth screening, and hybrid
  revenue forecasting, with leakage-safe, pipeline-compatible estimators.
type: software
authors:
  - family-names: Lalakiya
    given-names: "Shivam Ashokbhai"
    orcid: "https://orcid.org/0009-0000-5110-6540"
    email: shivamlalakiya151299@gmail.com
version: 0.9.0
date-released: "2026-10-12"
license: MIT
repository-code: "https://github.com/PhilanthroPy-Project/PhilanthroPy"
url: "https://PhilanthroPy-Project.github.io/PhilanthroPy/"
# Zenodo concept DOI: always resolves to the latest deposited release. This is
# deliberately NOT the per-version DOI: 0.6.0's was 10.5281/zenodo.21751097,
# and 0.7.0 gets its own once the GitHub release triggers a new Zenodo
# deposit. Cite the concept DOI so the reference does not go stale.
# `version` above tracks the newest PUBLISHED release, not `main`: main
# carries unreleased 1.0.0 work, and citing a version nobody can install is
# worse than citing one release behind.
identifiers:
  - type: doi
    value: "10.5281/zenodo.21751096"
    description: "Concept DOI for all versions of PhilanthroPy"
keywords:
  - nonprofit
  - fundraising
  - scikit-learn
  - donor-analytics
  - healthcare-philanthropy
  - machine-learning
  - predictive-analytics
  - data-science
references:
  # Related work by the author (not a citation of this library itself).
  - type: conference-paper
    title: "AI for Advancement: Predictive Donor Analytics and Fundraising Intelligence at Scale"
    authors:
      - family-names: Lalakiya
        given-names: "Shivam Ashokbhai"
    conference:
      name: "2025 IEEE 11th International Conference on Computing, Engineering and Design (ICCED)"
    publisher:
      name: IEEE
    year: 2025
    doi: "10.1109/ICCED68324.2025.11325064"
    start: 1
    end: 5