Side by side
ClusterValidityIndices.jl vs partycls
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
ClusterValidityIndices.jl provides a broad set of clustering validity measures for batch and online evaluation. Its fixed input layout and separate objects for each mode are important implementation details.
Visit ClusterValidityIndices.jl Free plan Linux
partycls offers a focused toolkit for descriptor-based particle clustering and trajectory analysis. Its scale target, Unix orientation, and scientific dependencies should be checked before adopting it for larger or different environments.
Visit partyclsThe facts
| ClusterValidityIndices.jl | partycls | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Linux | Linux |
| Lowest paid plan | Not published | Not published |
| Plans published | None | None |
| Maker | Not published | Not published |
| Website | ap6yc.github.io | jorisparet.com |
| On statistical analysis software | #83 of 106 | #79 of 106 |
ClusterValidityIndices.jl: what it does well
- Free Julia package
- Batch and incremental implementations
- Multiple documented validity indices
- Installable through Julia package manager or GitHub
- MIT License
What to know first
- Input requires specific matrix and label formats
- CVI objects cannot switch evaluation modes
- Linux platform listed
partycls: what it does well
- Free plan available
- Many built-in structural descriptors
- Scikit-learn clustering workflow
- XYZ and LAMMPS dump input
- Tutorials, notebooks, and API reference
What to know first
- Optimized for about 10⁴ particles
- Unix-based systems described
- Requires a Fortran compiler
- Python 3.6–3.9 testing listed
Alternatives to ClusterValidityIndices.jl Alternatives to partycls The whole list