Alternatives

The Best Gradio Alternatives in 2026

24 alternatives0 free · 22 open source

Looking for something like Gradio? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 22 are open source.

About Gradiogithub.com/gradio-app/gradio
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Gradio lets users build and share machine learning applications in Python.

PricingNot confirmed
Platforms—

Top picks at a glance

Quick comparison

#AlternativePricingOpen sourcePlatforms
1NannyML —Yes—
2igel —Yes—
3Aim —Yes—
4Pachyderm —Yes—
5Tpot —Yes—
6FLAML —Yes—
7FlexML —Yes—
8Aeromancy —Yes—
9Maze —Not stated—
10Kedro-Viz —Yes—
24 shown

All Gradio alternatives

1

NannyML

github.com/NannyML/nannymlOpen source
Also covers ai infrastructure, data analysis, and data science · same kind of open-source project

NannyML provides Python tools for post-deployment data science and monitoring model performance under data drift.

2

igel

github.com/nidhaloff/igelOpen source
Also covers ai infrastructure, data analysis, and data science · same kind of open-source project

igel lets users train, test, and use machine learning models without writing code.

3

Aim

github.com/aimhubio/aimOpen source
Also covers ai infrastructure, data science, and data visualization · same kind of open-source project

Aim tracks machine learning experiments and describes itself as an open-source experiment tracker.

4

Pachyderm

github.com/pachyderm/pachydermOpen source
Also covers ai infrastructure, data analysis, and data science · same kind of open-source project

Pachyderm provides data-focused pipelines and version control for datasets and related workflows.

5

Tpot

github.com/EpistasisLab/tpotOpen source
Also covers ai infrastructure and data science · same kind of open-source project

TPOT uses genetic programming to optimize machine learning pipelines in Python.

6

FLAML

github.com/microsoft/FLAMLOpen source
Also covers ai infrastructure and data science · same kind of open-source project

FLAML provides a fast Python library for automated machine learning and tuning.

7

FlexML

github.com/ozguraslank/flexmlOpen source
Also covers ai infrastructure and data science · same kind of open-source project

FlexML offers an easy to use and flexible automated machine learning library for Python.

9

Maze

github.com/enlite-ai/maze
Also covers ai infrastructure and data science · same kind of open-source project

Maze provides an applied reinforcement learning framework for developing projects in Python.

10

Kedro-Viz

github.com/kedro-org/kedro-vizOpen source
Also covers ai infrastructure and data visualization · same kind of open-source project

Kedro-Viz visualizes Kedro data and machine learning pipelines and tracks experiments.

11

ChefBoost

github.com/serengil/chefboostOpen source
Also covers ai infrastructure and data science · same kind of open-source project

The ChefBoost Python framework supports decision trees such as ID3, C4.5, CART, CHAID, regression trees, and ensemble methods.

13

Ray

github.com/ray-project/rayOpen source
Also covers ai infrastructure and data science · same kind of open-source project

Ray provides an AI compute engine with a distributed runtime and libraries for machine learning workloads.

14

Deepchecks

github.com/deepchecks/deepchecks
Also covers ai infrastructure and data science · same kind of open-source project

Deepchecks tests and validates machine learning models and data, covering workflows from research through production.

15

Datumbox

github.com/datumbox/datumbox-frameworkOpen source
Also covers ai infrastructure and data science · same kind of open-source project

The Datumbox framework is written in Java for developing machine learning and statistical applications.

16

Evidently

github.com/evidentlyai/evidentlyOpen source
Also covers ai infrastructure and data science · same kind of open-source project

Evidently evaluates, tests, and monitors machine learning systems and data pipelines.

17

MLRun

github.com/mlrun/mlrunOpen source
Also covers ai infrastructure and data science · same kind of open-source project

MLRun provides an open-source MLOps platform for managing machine learning applications, pipelines, and CI/CD delivery.

18

Radicalbit

github.com/radicalbit/radicalbit-ai-monitoringOpen source
Also covers ai infrastructure and data science · same kind of open-source project

Radicalbit AI Monitoring provides a solution for monitoring machine learning models in production.

19

Feast

github.com/feast-dev/feastOpen source
Also covers ai infrastructure and data science · same kind of open-source project

The Feast repository describes an open source feature store for AI and machine learning projects.

20

ZenML

github.com/zenml-io/zenmlOpen source
Also covers ai infrastructure and data science · same kind of open-source project

ZenML provides a platform for machine learning pipelines and AI agents.

21

goro

github.com/aunum/goroOpen source
Also covers ai infrastructure and data science · same kind of open-source project

The goro project provides a high level machine learning library written for Go.

22

Notebooks

github.com/rlan/notebooksOpen source
Also covers ai infrastructure and data science · same kind of open-source project

This Docker-based starter kit provides a runtime for machine learning work in Jupyter notebooks.

23

Primehub

github.com/myelintek/primehubOpen source
Also covers ai infrastructure and data science · same kind of open-source project

PrimeHub offers an open-source platform for managing machine learning operations and workflows.

24

CML

github.com/iterative/cmlOpen source
Also covers ai infrastructure and data science · same kind of open-source project

CML provides continuous machine learning and CI/CD workflows for machine learning projects.

No alternatives match this filter.

Alternatives to similar tools

All alternatives
What is the best alternative to Gradio?
Based on features, tags and platforms, the closest alternatives to Gradio are NannyML, igel, and Aim.
Are there open-source alternatives to Gradio?
Yes: NannyML, igel, Aim, and Pachyderm.

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