PyCaret
7.5#3 in predictive analytics softwareFree planFree planWebAPILinuxmacOS
VisitPyCaret vs Weka
What both publish
| Fact | PyCaret | Weka |
|---|---|---|
| Classification | ClassificationExperiment handles categorical targets and includes metrics such as accuracy, AUC, recall, precision, F1, kappa, and MCC. | Weka includes algorithms for assigning records to classes. |
| Clustering | ClusteringExperiment offers KMeans, affinity propagation, mean shift, spectral, hierarchical, DBSCAN, OPTICS, Birch, KMode, and HDBSCAN adapters. | The workbench supports unsupervised clustering analysis. |
| Compatibility limit | PyCaret 4.0 removes the 3.x module-level functional API, so the FAQ advises pinning 3.x for existing code and using 4.0 for new work. | Serialized Weka models created in version 3.7 are incompatible with version 3.8, and the documented migrator has at least one exception: RandomForest. |
| Documentation depth | The official site includes concepts, tutorials, preprocessing references, function guides, FAQs, a cheat sheet, and generated API reference. | Documentation includes a built-in manual, free book appendix, Javadocs, package documentation, videos, slides and a long-running mailing-list archive. |
| Headquarters | Toronto, Canada | Hamilton, New Zealand |
| Licence | PyCaret 4.0 licenses the engine under MIT and the control-plane components under BUSL-1.1 with a later Apache-2.0 change date and an additional-use grant. | Weka is GPL software; Weka 3.6 uses GPLv2 while versions later than 3.7.5 use GPLv3. |
| Purpose | PyCaret is an open-source, low-code Python tool for automating machine-learning workflows. | Weka is open-source machine learning software issued under the GNU General Public License. |
| Rating on G2 | 0.0 out of 5 from 0 ratings; the G2 category page provides no user-review information for PyCaret. | 4.3 out of 5 from 13 reviews |
| Regression | RegressionExperiment handles continuous targets and provides linear, tree, boosting, neural-network, and kernel models. | Weka includes regression methods for predicting numeric outcomes. |
PyCaret plans
- PyCaretFree
- PyCaret open-sourceFree
Weka plans
- Weka 3.8 StableFree
- Weka 3.9 DevelopmentFree
- Weka open-source softwareFree
Pick PyCaret if…
PyCaret suits Python users who want low-code tools for machine-learning experiments across several task types. Its optional self-hosted dashboard and server may suit teams building multi-user or deployment workflows.
Pick Weka if…
Weka suits people who need machine learning software with a Java API or Jupyter notebook use. It may also suit teams building forecasting, time-series modeling, or model evaluation workflows.