Side by side
ExpFamilyPCA.jl vs Phitter
Both stand on statistical analysis software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan Linux
ExpFamilyPCA.jl provides a focused Julia workflow for exponential-family PCA, with several built-in distributions and options for custom models. Its Linux support and potentially lengthy fitting make it most suitable for technical users comfortable with Julia and configurable optimization.
Visit ExpFamilyPCA.jl Free plan Web
Phitter is focused on distribution fitting, with visual results and several goodness-of-fit measures. Its local browser calculation and Python package offer two ways to work with data, within the stated input and method scope.
Visit PhitterThe facts
| ExpFamilyPCA.jl | Phitter | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Linux | Web |
| Lowest paid plan | Free or on request | Free or on request |
| Plans published | 1 | 1 |
| Maker | Not published | Not published |
| Website | sisl.github.io | phitter.io |
| On statistical analysis software | #51 of 106 | #47 of 106 |
ExpFamilyPCA.jl: what it does well
- Free MIT-licensed Julia package
- Supports nine built-in distributions
- Provides fit, compress, and decompress methods
- Allows custom distribution models
- Configurable optimization controls
What to know first
- Linux platform listed
- Fitting can take a long time
- Requires Julia package-manager installation
Phitter: what it does well
- Covers 87 continuous and discrete distributions.
- Reports multiple goodness-of-fit results.
- Supports TXT, CSV, XLSX, and public URLs.
- Fitting runs locally in the browser.
- Free plan requires no account and has no row limit.
What to know first
- Web application requires at least 20 numeric observations.
- Site uses analytics and external services.
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