Draft:Phitter

Phitter
Written in	Python
Operating system	Cross-platform (Windows, macOS, Linux)
Platform	Web application
Available in	English; Spanish;
Type	Statistical software
License	MIT License
Website	Phitter; GitHub Repository

Submission declined on 24 July 2024 by Iwaqarhashmi (talk).

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Declined by Iwaqarhashmi 3 months ago. Last edited by Theroadislong 3 months ago. Reviewer: Inform author.

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Submission declined on 23 July 2024 by SafariScribe (talk).

This submission is not adequately supported by reliable sources. Reliable sources are required so that information can be verified. If you need help with referencing, please see Referencing for beginners and Citing sources.

This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:

in-depth (not just passing mentions about the subject)
reliable
secondary
independent of the subject

Make sure you add references that meet these criteria before resubmitting. Learn about mistakes to avoid when addressing this issue. If no additional references exist, the subject is not suitable for Wikipedia.

Declined by SafariScribe 3 months ago.

Comment: The single reference is a passing mention and contributes nothing to any notability. Theroadislong (talk) 20:57, 24 July 2024 (UTC)

Phitter is a web-based software and Python library for data analysis specializing in fitting probability distributions.^[1]. Designed to facilitate the identification of the distribution that best fits a dataset, Phitter offers a wide variety of distributions, goodness-of-fit tests, and interactive visualizations to assist users in their statistical analysis. The software features over 80 probability distributions and advanced tools to evaluate and visualize the quality of fit. Phitter is available in Python and is an open-source project, promoting community collaboration and contribution.

Features

Web application interface for cross-platform accessibility
Python library
Over 80 probability distributions available for fitting
Interactive visualizations for data analysis
Goodness-of-fit tests to evaluate the quality of fit

External links

References

^ Univariate Distribution Relationships: https://www.math.wm.edu/~leemis/chart/UDR/links.html

[1] Univariate Distribution Relationships: https://www.math.wm.edu/~leemis/chart/UDR/links.html

[1]