Submission declined on 24 July 2024 by Iwaqarhashmi (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:
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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: Declined by SafariScribe 43 days ago.
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Comment: The single reference is a passing mention and contributes nothing to any notability. Theroadislong (talk) 20:57, 24 July 2024 (UTC)
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Written in | Python |
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Operating system | Cross-platform (Windows, macOS, Linux) |
Platform | Web application |
Available in |
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Type | Statistical software |
License | MIT License |
Website | Phitter GitHub Repository |
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
edit- 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
edit
References
edit- ^ Univariate Distribution Relationships: https://www.math.wm.edu/~leemis/chart/UDR/links.html