Vaex provides out-of-core DataFrames for Python to explore and visualize large tabular datasets, with support for machine learning workflows.
imbalanced-learn
vsastroML
imbalanced-learn vs astroML
How do imbalanced-learn and astroML compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | imbalanced-learn | astroML |
|---|---|---|
| What it is | The imbalanced-learn documentation explains tools for learning from imbalanced datasets in Python. | AstroML provides Python tools for machine learning and data mining in astronomy. |
| Website | ||
| Type | Online tool | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Web |
| Open source | Not stated | Not stated |
| Language | English | — |
| Alternatives |
Other options to consider
Sites similar to both imbalanced-learn and astroML.
mlxtend adds helper modules for Python data analysis and machine learning libraries.
SynapseML provides distributed machine learning algorithms for Spark through its Python library.
Open source
24 alternativesClass-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets.
Open source
24 alternativesThe pandas project provides open-source Python tools for analyzing and manipulating data.





