{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence"},{"label":"Visualization","url":"https://skillfed.io/packages/category/scientific-engineering-visualization"}],"enrichment":{"capability":"Gradio builds web interfaces for machine learning models, APIs, and Python functions without requiring JavaScript or web hosting knowledge, then shares them via public URLs.","skillfed_tags":["ml-demo","web-ui-builder","no-code-interface"],"use_cases":["Quickly prototype and demo a trained machine learning model without building a custom web application.","Share a data analysis or visualization tool with collaborators or stakeholders via a public link.","Build a chatbot interface for a language model or conversational API in a few lines of Python.","Create an interactive form-based tool for any Python function (e.g., tax calculator, image processor).","Deploy a complex multi-step workflow with custom layouts and conditional logic using Blocks.","Integrate with Hugging Face Hub to showcase models directly from the model card."],"what_it_does":"Gradio is a Python framework that wraps machine learning models, APIs, or arbitrary Python functions into interactive web applications with minimal code. It provides high-level classes like Interface for simple demos, Blocks for custom layouts and complex workflows, and ChatInterface for chatbot UIs. The framework handles the entire web stack\u2014FastAPI backend, Starlette routing, and frontend rendering\u2014so developers write only Python. Once built, demos can be shared instantly via public URLs using Gradio's built-in sharing feature, allowing anyone to interact with the application from a browser while computation runs locally.\n\nThe package depends on a substantial ecosystem: FastAPI and Uvicorn for the web server, Pydantic for validation, Pillow and NumPy for media handling, Hugging Face Hub for model integration, and several utility libraries. It supports Python 3.10 through 3.13 and is classified as Production/Stable. The framework is actively maintained with frequent releases and strong community adoption (top 5000 PyPI packages by downloads).","worth_installing":"Yes. Gradio is worth installing if you need to build and share web interfaces for ML models or Python functions without web development expertise. It has low install friction, active maintenance, a permissive license, no known vulnerabilities, and strong adoption. The only consideration is the substantial dependency footprint (28 runtime packages) and the Python 3.10+ requirement; if your environment is constrained, verify compatibility first."},"id":"gradio","links":{"html":"https://skillfed.io/packages/gradio","md":"https://skillfed.io/packages/gradio.md","pypi":"https://pypi.org/project/gradio/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-12","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"gradio","python_support":"supports_current","summary":"Python library for easily interacting with trained machine learning models"},"popularity":{"monthly_downloads":18428509,"position":1084,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"6.24.0"}