gradio

Gradio addresses the challenge of building and sharing machine learning applications by providing an intuitive interface that requires minimal coding. This open source tool is particularly beneficial for ML/AI teams, enabling data scientists and engineers to quickly prototype and deploy models. With a maturity level indicated by steady growth in community interest, Gradio is a production-ready solution that can be integrated into existing workflows. However, it may not be suitable for highly customised applications that require extensive front-end development or complex user interactions beyond its capabilities.

Gradio is a strong choice when teams need to rapidly develop and showcase machine learning apps with user-friendly interfaces. Teams should consider alternatives when they require extensive customisation or need to integrate with systems that demand a more complex front-end architecture.

Gradio is primarily used by machine learning engineers, data scientists, and AI researchers who need to visualise and share their models effectively. It is commonly included in products or systems that focus on data analysis, visualisation, and deep learning applications.

Latest commit: 2026-02-13. Over the past 97 days, this repository gained 1.2k stars (+3.0% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.