---
id: temporalio
version: "1.31.0"
license: MIT
license_treatment: permissive
maintenance: active
---

# temporalio — Temporal.io Python SDK

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install temporalio
uv add temporalio
poetry add temporalio

## Description

![Temporal Python SDK](https://assets.temporal.io/w/py.png)

[![Python 3.9+](https://img.shields.io/pypi/pyversions/temporalio.svg?style=for-the-badge)](https://pypi.org/project/temporalio)
[![PyPI](https://img.shields.io/pypi/v/temporalio.svg?style=for-the-badge)](https://pypi.org/project/temporalio)
[![MIT](https://img.shields.io/pypi/l/temporalio.svg?style=for-the-badge)](LICENSE)

**📣 News: Integration between OpenAI Agents SDK and Temporal is now in public preview. [Learn more](temporalio/contrib/openai_agents/README.md).**

[Temporal](https://temporal.io/) is a distributed, scalable, durable, and highly available orchestration engine used to
execute asynchronous, long-running business logic in a scalable and resilient way.

"Temporal Python SDK" is the framework for authoring workflows and activities using the Python programming language.

Also see:
* [Application Development Guide](https://docs.temporal.io/application-development?lang=python) - Once you've tried our
  [Quick Start](#quick-start), check out our guide on how to use Temporal in your Python applications, including
  information around Temporal core concepts.
* [Python Code...

## AI interpretation — verify before relying

Temporal Python SDK provides a framework for building distributed, durable workflows and activities that execute long-running business logic reliably across failures using an asyncio-based event loop.

Verdict: Actively maintained orchestration framework with permissive MIT licensing, suitable for production use. Medium install friction from compiled dependencies is typical for performance-critical SDKs. No known security vulnerabilities. Best suited for teams building distributed, long-running workflows that need durability and fault tolerance.

[View on SkillFed](https://skillfed.io/packages/temporalio) · [View on PyPI](https://pypi.org/project/temporalio/)