Gradio

What is Gradio?

It allows you to quickly create customizable UI components around your TensorFlow or PyTorch models, or even arbitrary Python functions. Mix and match components to support any combination of inputs and outputs.

Gradio is a tool in the Development & Training Tools category of a tech stack.

Key Features

Customizable ComponentsMultiple Inputs and OutputsSharing Interfaces Publicly & Privacy

Gradio Pros & Cons

Pros of Gradio

No pros listed yet.

Cons of Gradio

No cons listed yet.

Gradio Integrations

Jupyter, TensorFlow, PyTorch, Matplotlib, scikit-learn are some of the popular tools that integrate with Gradio. Here's a list of all 5 tools that integrate with Gradio.

Gradio Alternatives & Comparisons

What are some alternatives to Gradio?

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

Keras

Gradio Integrations

Jupyter, TensorFlow, PyTorch, Matplotlib, scikit-learn are some of the popular tools that integrate with Gradio. Here's a list of all 5 tools that integrate with Gradio.