Side by side
autorank vs pyabc
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 APILinuxSelf-hosted
autorank provides guided frequentist and Bayesian comparisons from Pandas DataFrames, with report-generation options. Its documented limits on measurements and missing values should be checked before analysis.
Visit autorank Free plan APIiPhoneLinux+3
pyABC provides a customizable ABC-SMC workflow with distributed execution, database storage, and language interfaces. Check platform and Python requirements before adopting it.
Visit pyabcThe facts
| autorank | pyabc | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | API, Linux, Self-hosted | API, iPhone, Linux, Self-hosted, Web, Windows |
| Lowest paid plan | Free or on request | Not published |
| Plans published | 1 | None |
| Maker | autorank | Not published |
| Website | sherbold.github.io | pyabc.readthedocs.io |
| On statistical analysis software | #25 of 106 | #29 of 106 |
autorank: what it does well
- Free Python package
- Selects tests from normality and homogeneity checks
- Generates plots, tables, and LaTeX reports
- Supports frequentist and Bayesian analysis
- Available under Apache 2.0 License
What to know first
- Requires at least five measurements
- Rejects NaN values
- Reliability is described below 5,000 measurements
- No regression model support
pyabc: what it does well
- Performs likelihood-free Bayesian inference
- Supports multicore and distributed execution
- Stores simulation data in SQL databases
- Provides multiple export formats
- Offers R and Julia interfaces
What to know first
- Requires Python 3.11 or later
- Main development focus is Linux
- Windows multiprocessing may not work as expected
- Flask visualization server is deprecated
Alternatives to autorank Alternatives to pyabc The whole list