Draft:Phitter

{{AFC submission|d|adv|u=Sebastián Herrera Monterrosa|ns=118|decliner=Pythoncoder|declinets=20250617015352|ts=20250617002248}}

{{Infobox software

| name = Phitter

| logo = File:LightPhitterLogo.svg

| screenshot = File:Phitter Image.webp

| platform = Web application

| repo = {{URL|https://github.com/phitterio/phitter-kernel|GitHub Repository}}

| operating_system = Cross-platform (Windows, macOS, Linux)

| programming_language = Python

| genre = Statistical software

| language = {{hlist|English|Spanish}}

| license = MIT License

| website = {{URL|https://phitter.io|Phitter}}

}}

Phitter is an open-source Python library designed to streamline the process of fitting and

analyzing probability distributions for applications in statistics, data science, operations research, and machine learning. It provides a comprehensive catalog of over 80 continuous and

discrete distributions, multiple goodness-of-fit measures (Chi-Square, Kolmogorov-Smirnov, and

Anderson-Darling), interactive visualizations for exploratory data analysis and model validation,

and detailed modeling guides with spreadsheet implementations. By reducing the complexity

of distribution fitting, Phitter helps researchers and practitioners identify distributions that

best model their data.{{cite journal |title=Phitter: A library designed to streamline the process of fitting and analyzing probability distributions |journal=Journal of Open Source Software |date=2025 |volume=10 |number=110 |page=7625 |doi=10.21105/joss.07625 |url=https://joss.theoj.org/papers/10.21105/joss.07625 |last1=Monterrosa |first1=Sebastián José Herrera |last2=Pinilla |first2=Carlos Andrés Masmela }}{{cite web |title=Univariate Distribution Relationships |url=https://www.math.wm.edu/~leemis/chart/UDR/links.html |website=William & Mary Department of Mathematics |access-date=2025-06-16}}{{cite web |title=Phitter – A Python library for statistical distribution fitting |url=https://www.reddit.com/r/Python/comments/1hsqp3x/phitter_a_python_library_for_statistical/ |website=Reddit |date=3 January 2025 |access-date=2025-06-16}}