Publication record

Title: Phitter: A library designed to streamline the process of fitting and analyzing probability distributions

Field Detail
Authors Sebastián José Herrera Monterrosa; Carlos Andrés Masmela Pinilla
Journal Journal of Open Source Software
Published 2 June 2025
Submitted 4 October 2024
Volume and issue 10(110)
Article 7625
DOI 10.21105/joss.07625
Licence CC BY 4.0

What the paper establishes

The paper gives Phitter a permanent, peer-reviewed scholarly record. It describes the problem the software addresses, the role of its standardized probability-distribution implementations, its fitting and goodness-of-fit workflow, and the relationship between the Python library and the browser application.

JOSS reviews the software and its research contribution through a public process. The publication page identifies @kanishkan91 as editor and @EwoutH and @mdhaber as reviewers, and links the software repository, review history, paper, and archived release.

Why this matters for the project

A DOI makes Phitter citable independently of a changing website or repository branch. Researchers can identify the software version and authorship through a stable publication, while readers can inspect the open review and source code.

The paper is also an external quality signal—but it should be described precisely. JOSS publication means that the submitted software and paper passed the journal’s review process; it does not mean that every distribution is the right model for every dataset.

Monterrosa, S. J. H., & Pinilla, C. A. M. (2025). Phitter: A library designed to streamline the process of fitting and analyzing probability distributions. Journal of Open Source Software, 10(110), 7625. https://doi.org/10.21105/joss.07625

@article{Monterrosa2025,
  doi = {10.21105/joss.07625},
  year = {2025},
  volume = {10},
  number = {110},
  pages = {7625},
  author = {Monterrosa, Sebastián José Herrera and Pinilla, Carlos Andrés Masmela},
  title = {Phitter: A library designed to streamline the process of fitting and analyzing probability distributions},
  journal = {Journal of Open Source Software}
}

Primary record