Обзор
A Python framework for rapidly building and sharing interactive data and AI applications. The repository is maintained under streamlit on GitHub. Its primary language is Python. See the [project README](https://github.com/streamlit/streamlit#readme) for the supported workflows.
Основные функции
- A Python framework for rapidly building and sharing interactive data and AI applications.
Требования, установка и быстрый старт
Install Streamlit in a Python environment, then run the bundled hello application to verify setup before creating your own app.
[Read the upstream installation and quickstart instructions](https://github.com/streamlit/streamlit#readme).
[Read the upstream installation and quickstart instructions](https://github.com/streamlit/streamlit#readme).
Использование
Start with a small example matching your workflow, review its results, and configure the available settings for your own data and environment.
[Usage examples and configuration reference](https://github.com/streamlit/streamlit#readme).
[Usage examples and configuration reference](https://github.com/streamlit/streamlit#readme).
Совместимость моделей и варианты использования
В метаданных репозитория совместимость моделей не указана.
Лицензия и примечания о рисках
GitHub reports Apache-2.0 for this repository. Review the upstream license file; model weights, datasets and dependencies may have separate terms.
Source review 2026-09-05: GitHub search metadata and repository README. No runtime benchmark performed. License metadata: Apache-2.0.
Релиз и сопровождение
[View upstream releases](https://github.com/streamlit/streamlit/releases).