Side by side
gwpopulation vs pycvi
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 APILinux
gwpopulation provides a focused toolkit for gravitational-wave population analysis, with Bilby integration, cosmology guidance, and multiple array backends. Users should weigh GridVT scaling and the stability warning for unreleased GPU-oriented code.
Visit gwpopulation Free plan Linux
pycvi provides a focused toolkit for comparing and selecting clusterings without external labels. Its free MIT license and multiple installation methods suit Python workflows, but dependency compatibility needs attention.
Visit pycviThe facts
| gwpopulation | pycvi | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | API, Linux | Linux |
| Lowest paid plan | Not published | Free or on request |
| Plans published | None | 2 |
| Maker | Not published | Not published |
| Website | colmtalbot.github.io | pycvi.readthedocs.io |
| On statistical analysis software | #68 of 106 | #64 of 106 |
gwpopulation: what it does well
- Free MIT-licensed package
- Integrates with Bilby
- Includes source population and selection models
- Supports NumPy, CuPy, and JAX
- GPU acceleration through JAX and CuPy
What to know first
- GridVT cost grows exponentially with parameters
- Unreleased main branch may contain more bugs
- GPU use is specifically cautioned
- Requires Python 3.10–3.13
pycvi: what it does well
- Implements 12 internal clustering validity indices
- Supports DTW, MSM, DBA, and MBA
- Allows custom indices and majority-vote selection
- Provides Variation of Information distances
- Works with several listed clustering libraries
What to know first
- Linux desktop package only
- No statistical tests or regression models
- Example scripts may require extra dependencies
- scikit-learn-extra 0.3.0 conflicts with NumPy 2.0+
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