Alternatives

The Best BigML Alternatives in 2026

24 alternatives0 free · 18 open source

Looking for something like BigML? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 18 are open source.

About BigMLbigml.com
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BigML provides a platform for creating machine learning models and working with data.

PricingNot confirmed
PlatformsWeb

Top picks at a glance

Quick comparison

#AlternativePricingOpen sourcePlatforms
1Orange —Not statedWeb
2InterpretML —Yes—
3Fairlearn —Yes—
4Manifold —Yes—
5DVClive —Yes—
6Intel® oneAPI Data Analytics Library —Yes—
7rapaio —Not stated—
8DVC —Yes—
9Cleanlab —Yes—
10REP —Not statedLinux, Windows
24 shown

All BigML alternatives

8

DVC

github.com/iterative/dvcOpen source
Also covers machine learning · open source

DVC tracks data versions and machine learning experiments for collaborative development.

10

REP

github.com/yandex/rep
Also covers machine learning

REP provides an IPython-based machine learning environment for consistent, reproducible data-driven research.

16

ELI5

github.com/eli5-org/eli5Open source
Also covers machine learning · open source

Python package which helps to debug machine learning classifiers and explain their predictions.

18

LIME

github.com/marcotcr/limeOpen source
Also covers machine learning · open source

LIME provides explanations for predictions made by machine learning classifiers.

19

MCGrad

github.com/facebookincubator/MCGradOpen source
Also covers machine learning · open source

MCGrad calibrates machine learning predictions across the full dataset and across segments defined by input features.

No alternatives match this filter.

Alternatives to similar tools

All alternatives
What is the best alternative to BigML?
Based on features, tags and platforms, the closest alternatives to BigML are Orange, InterpretML, and Fairlearn.
Are there open-source alternatives to BigML?
Yes: InterpretML, Fairlearn, Manifold, and DVClive.

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