Alternatives

The Best imbalanced-ensemble Alternatives in 2026

24 alternatives0 free · 23 open source

Looking for something like imbalanced-ensemble? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 23 are open source.

About imbalanced-ensemblegithub.com/ZhiningLiu1998/imbalanced-ensemble
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Class-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets.

PricingNot confirmed
Platforms—

Top picks at a glance

Quick comparison

#AlternativePricingOpen sourcePlatforms
1Whylogs —Yes—
2Geni —Yes—
3jSciPy —YesAndroid
4Weights & Biases —Yes—
5Microsoft ML for Apache Spark —Yes—
6mlxtend —Not stated—
7Pattern Recognition Toolbox —Yes—
8gensim —Yes—
9Netron —YesLinux, macOS, Windows
10Neuraxle —Yes—
24 shown

All imbalanced-ensemble alternatives

1

Whylogs

github.com/whylabs/whylogsOpen source
Also covers data science, developer tools, and machine learning · same kind of open-source project

Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.

2

Geni

github.com/zero-one-group/geniOpen source
Also covers data science, developer tools, and machine learning · same kind of open-source project

The Geni project provides a Clojure dataframe library that runs on Apache Spark.

3

jSciPy

github.com/hissain/jscipyOpen source
Also covers data science, developer tools, and machine learning · same kind of open-source project

jSciPy provides Java scientific computing tools for signal processing, FFT, filtering, power spectral density, and DCT.

8

gensim

github.com/RaRe-Technologies/gensimOpen source
Also covers data science, developer tools, and machine learning · same kind of open-source project

Python developers can use gensim for topic modeling and related natural language processing tasks.

9

Netron

github.com/lutzroeder/netronOpen source
Also covers developer tools, machine learning, and open source · same kind of open-source project

Netron displays neural network, deep learning, and machine learning models across formats such as ONNX, TensorFlow, and PyTorch.

10

Neuraxle

github.com/Neuraxio/NeuraxleOpen source
Also covers developer tools, machine learning, and open source · same kind of open-source project

Automatic machine learning, hyperparameter tuning, and pipeline abstractions are provided by the Neuraxle software library.

13

anneal

github.com/georgebuilds/annealOpen source
Also covers developer tools, machine learning, and open source · same kind of open-source project

The anneal project is a Go machine learning compiler with graph rewriting, autodiff, and a WebGPU backend.

17

Dash

github.com/plotly/dashOpen source
Also covers data science, developer tools, and open source · same kind of open-source project

Python developers can use Dash to build data apps and dashboards without requiring JavaScript.

20

Koalas

github.com/databricks/koalasOpen source
Also covers data science, developer tools, and open source · same kind of open-source project

Koalas implements the pandas DataFrame API on Apache Spark and is deprecated; for Apache Spark 3.2 and above, use PySpark directly.

23

Upgini

github.com/upgini/upginiOpen source
Also covers data science and machine learning · same kind of open-source project

For machine learning pipelines, Upgini searches and enriches data with features from public and commercial sources.

24

Fastai

github.com/fastai/fastaiOpen source
Also covers developer tools, machine learning, and open source · same kind of open-source project

The fastai deep learning library includes documentation and setup guidance, including instructions for use with Google Colab.

No alternatives match this filter.

Alternatives to similar tools

All alternatives
What is the best alternative to imbalanced-ensemble?
Based on features, tags and platforms, the closest alternatives to imbalanced-ensemble are Whylogs, Geni, and jSciPy.
Are there open-source alternatives to imbalanced-ensemble?
Yes: Whylogs, Geni, jSciPy, and Weights & Biases.

Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative