Maze provides an applied reinforcement learning framework for developing projects in Python.
Gradio
Gradio creates web interfaces for machine learning models in Python so developers can share interactive demos and apps.

About Gradio
Gradio is a Python library for building web interfaces around machine learning models. You define the interface in Python, and Gradio handles the frontend. It provides more than 40 input and output components for data such as images, audio, video, 3D objects and dataframes. It installs with pip and runs locally; developers can also create a public link to a local demo or deploy an app to Hugging Face Spaces.
Pricing is not clearly stated.
Key features
- Build an interface in a few lines of Python without JavaScript, CSS or frontend experience.
- Includes Python and JavaScript client libraries for making programmatic requests to Gradio apps.
- Create and share custom components to extend the interface.
- Use Gradio UI components in standalone JavaScript applications.
Gradio at a glance
- Website
- gradio.app
- Type
- App
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Details verified
- Oct 22, 2026 · Official source
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Gradio alternatives
Tools and sites you could use instead, ranked by how closely they match.
Mosec serves machine learning models with dynamic batching and CPU or GPU pipelines for inference workloads.
ModelFox supports training, deployment, and monitoring for machine learning models.
Feature Stores for ML shares information and knowledge about feature stores and their role in machine learning pipelines.
Tensors and Dynamic neural networks in Python with strong GPU acceleration.
The linfa project provides a machine learning framework written in Rust.
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