Side by side
FitBenchmarking vs Hypothesize
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 LinuxMacWindows
FitBenchmarking provides a free way to compare fitting methods across supplied or custom problems. Its results need context because dependencies and cross-format comparisons can affect how tests align.
Visit FitBenchmarking Free plan LinuxMacWindows
Hypothesize offers robust statistical procedures in a Python workflow with examples and notebook access. Review the documented estimator and sample-size limits when selecting functions.
Visit HypothesizeThe facts
| FitBenchmarking | Hypothesize | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Linux, Mac, Windows | Linux, Mac, Windows |
| Lowest paid plan | Free or on request | Not published |
| Plans published | 1 | None |
| Maker | Not published | Hypothesize |
| Website | fitbenchmarking.readthedocs.io | alcampopiano.github.io |
| On statistical analysis software | #36 of 106 | #40 of 106 |
FitBenchmarking: what it does well
- Free open-source tool
- Runs on Windows, Linux and macOS
- Interactive Dash plots
- Custom datasets supported
- Compares runtime and accuracy
What to know first
- Some dependencies require separate installation
- Comparisons may not be equal
- Gradient-Free-Optimizers needs finite bounds
- Large problems limited to scipy_ls
Hypothesize: what it does well
- Free BSD 3-Clause library
- Supports independent, dependent, and mixed designs
- Multiple robust estimator choices
- Pandas and CSV data input
- Deepnote examples with sample data
What to know first
- No regression models listed
- Some tests only support trim_mean
- l2drmci has an unequal-size limitation
- Requires Python and listed dependencies
Alternatives to FitBenchmarking Alternatives to Hypothesize The whole list