Ferramentas de desenvolvimento
Transformers
The model-definition framework behind modern AI — thousands of pretrained transformers for text, vision, and audio.
★ 166,9 mil estrelasApache-2.0
Ver o guia →Gradio é um projeto de ferramentas de desenvolvimento de código aberto de gradio-app (gradio-app/gradio no GitHub). Tem 43.671 estrelas no GitHub e 3.616 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 2 de outubro de 2026.
Build machine-learning web demos in Python within minutes — the fastest way to share a model with the world.
Any Python function — a model call, a transform, a pipeline — becomes your app logic.
Declare inputs and outputs; Gradio builds the UI around them.
One call serves a local web UI with API docs included.
Get a public link or deploy permanently to Hugging Face Spaces.
From Python function to interactive web app in under ten lines of code.
Chatbots, image editors, audio recorders, 3D viewers, and dataframes out of the box.
Stream tokens, audio, and video for responsive real-time demos.
Every demo ships an OpenAPI endpoint — script it like any web service.
One click deploys your demo free on Hugging Face Spaces.
Theme builder and custom CSS for demos that match your brand.
Pip-install Gradio into your environment.
pip install gradioInterface, Blocks, or ChatInterface — pick the abstraction that fits.
import gradio as grRun locally, then share publicly or deploy to Spaces.
demo.launch(share=True)It is an open-source project at gradio-app/gradio with 3,245 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Yes — Apache-2.0, including the hosted sharing links.
Gradio is purpose-built for ML demos (media components, streaming); Streamlit is a general data-app framework.
Yes — run locally on your hardware, or deploy to Spaces with GPU upgrades.
Local launches work on your LAN; public share links need internet.
The model-definition framework behind modern AI — thousands of pretrained transformers for text, vision, and audio.
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The node-graph powerhouse for precise, professional AI image and video generation.
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PostgresML — machine learning inside PostgreSQL with GPU acceleration: train, embed and run LLMs in SQL.
The official C# SDK for the Model Context Protocol — build MCP servers and clients in .NET
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The open source coding agent
The model-definition framework behind modern AI — thousands of pretrained transformers for text, vision, and audio.
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Cross-platform desktop all-in-one manager for Claude Code, Codex, OpenCode and other coding agents
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An AI compute engine: a distributed runtime plus libraries for scaling ML and LLM workloads
The terminal runtime your coding agents live on — a Rust multiplexer built for agent sessions
Aider is AI pair programming in your terminal
Open-source Rust agent engine and terminal client with provider choice, approvals and receipts
Anthropic's official collection of notebooks and recipes for using Claude effectively
Teams-first multi-agent orchestration for Claude Code — parallel agents, team mode and tmux workers
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.