Alternatives

The Best pyro Alternatives in 2026

24 alternatives0 free · 23 open source

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

About pyrogithub.com/pyro-ppl/pyro
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Pyro brings probabilistic programming capabilities to Python projects using PyTorch.

PricingNot confirmed
PlatformsLinux

Top picks at a glance

Quick comparison

#AlternativePricingOpen sourcePlatforms
1nilearn —Yes—
2LightGBM —YesWindows
3DVClive —Yes—
4PredictionBuilder —Yes—
5REP —Not statedLinux, Windows
6pytorch tabular —Yes—
7Fairlearn —Yes—
8Featuretools —Yes—
9Feature Engine —Yes—
10ELI5 —Yes—
24 shown

All pyro alternatives

1

nilearn

github.com/nilearn/nilearnOpen source
Also covers git, machine learning, and open source · same kind of open-source project

nilearn provides Python tools for machine learning and neuroimaging analysis.

2

LightGBM

github.com/microsoft/LightGBMOpen source
Also covers git, machine learning, and open source · same kind of open-source project

The LightGBM framework uses gradient boosting for ranking, classification, and other machine learning tasks.

3

DVClive

github.com/treeverse/dvcliveOpen source
Also covers git, machine learning, and open source · same kind of open-source project

DVCLive logs and tracks machine learning metrics, parameters, and models with Git or DVC.

5

REP

github.com/yandex/rep
Also covers git, linux, and machine learning · same kind of open-source project

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

10

ELI5

github.com/eli5-org/eli5Open source
Also covers machine learning and open source · same kind of open-source project

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

12

Frouros

github.com/IFCA/frourosOpen source
Also covers machine learning and open source · same kind of open-source project

An open source Python library for drift detection in machine learning systems.

13

modAL

github.com/modAL-python/modALOpen source
Also covers machine learning and open source · same kind of open-source project

modAL provides a modular active learning framework for Python built on top of scikit-learn.

14

Cleanlab

github.com/cleanlab/cleanlabOpen source
Also covers machine learning and open source · same kind of open-source project

Cleanlab provides a Python library for data quality and machine learning with messy real world data and labels.

15

lightly

github.com/lightly-ai/lightlyOpen source
Also covers machine learning and open source · same kind of open-source project

The lightly Python library supports self supervised learning on images.

16

19 Questions

github.com/fulldecent/19-questionsOpen source
Also covers machine learning and open source · same kind of open-source project

19 Questions assigns attributes to objects using machine learning and Bayesian inference, according to its project description.

18

Giskard

github.com/Giskard-AI/giskardOpen source
Also covers git and open source · same kind of open-source project

Giskard provides open source evaluation and testing tools for LLM agents.

20

NALP

github.com/gugarosa/nalpOpen source
Also covers machine learning and open source · same kind of open-source project

NALP covers Natural Adversarial Language Processing through a dedicated library.

23

AutoViz

github.com/AutoViML/AutoVizOpen source
Also covers machine learning and open source · same kind of open-source project

AutoViz automatically creates visualizations for datasets of different sizes from a single line of code.

No alternatives match this filter.

Alternatives to similar tools

All alternatives
What is the best alternative to pyro?
Based on features, tags and platforms, the closest alternatives to pyro are nilearn, LightGBM, and DVClive.
Are there open-source alternatives to pyro?
Yes: nilearn, LightGBM, DVClive, and PredictionBuilder.

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