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ENJA

gradio

gradio-app/gradio

Gradio is an open-source Python framework designed for rapidly building interactive web interfaces and demos for machine learning models or general Python functions. It enables developers to share applications instantly with public URLs without requiring frontend web development experience.

43.4k 3.6kApache-2.0Updated 2026-08-13

Overview

Gradio streamlines the process of transforming Python functions and machine learning models into interactive web applications. Utilizing high-level abstractions like `gr.Interface` and flexible layout engines like `gr.Blocks`, developers can build rich user interfaces with built-in components for text, images, audio, and dataframes. It includes features like hot reloading, built-in public link generation, and multi-language support, making it an essential tool for rapid prototyping and AI experimentation.

Capabilities

  • Define UI interfaces using high-level Interface classes or low-level Blocks
  • Support over 30 built-in UI components including textboxes, sliders, images, and audio players
  • Generate temporary public URLs for instant sharing via the share=True launch option
  • Run local development with hot-reload support through the Gradio CLI
  • Integrate smoothly with Python environments, Jupyter notebooks, and backend workflows

Best for

Building interactive web demos for machine learning models, Creating quick internal tools and dashboards in pure Python, Sharing live previews of AI models with stakeholders via public links, Developing multi-step application workflows using Blocks and event listeners

Works with

Claude CodeCursorGitHub CopilotCodexGemini CLIOpenCode
Evoa Score breakdown= Σ (score × weight)
85
Task usefulness20%88 → +17.6

実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 AIによるcapabilities/use-cases解析

Code quality15%90 → +13.5

実装・指示の品質。 AIによるSKILL.md/README解析

Maintenance15%100 → +15.0

リポジトリがどれだけ活発に保守されているか。 GitHub 最終push日時の新しさ

Documentation12%43 → +5.2

ドキュメントの充実度・分かりやすさ。 README/独自要約の情報量

Security15%80 → +12.0

危険・不審な挙動が無いか。 AIによるセキュリティレビュー

Originality10%85 → +8.5

ありふれたラッパーではない独自性。 AIによる独自性判定

Popularity8%100 → +8.0

コミュニティの採用度。 GitHub Stars/Forks(対数スケール)

Compatibility5%100 → +5.0

対応AIエージェントの広さ。 AIによる対応エージェント判定

Weighted total84.8 / 100

ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →

Security considerations

When using public sharing features (`share=True`), ensure no sensitive data, proprietary models, or unauthenticated credentials are exposed through the public Gradio tunnel.

Categories

Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.