---
id: render-sdk
version: "0.7.0"
license: unclear
license_treatment: permissive
maintenance: active
---

# render_sdk — Python SDK for Render Workflows

License: permissive · Maintenance: active · Downloads: 101.6K/mo

## What it is and what it does

Render SDK is the official Python client for Render's Workflows platform, allowing you to define, register, and execute distributed tasks with retry and timeout policies. It provides both synchronous and asynchronous APIs for task execution, task run monitoring, and access to experimental platform services like object storage and managed key-value instances.

The SDK lets you decorate Python functions as tasks, combine tasks from multiple modules, and run them through the Render platform with built-in support for retries, timeouts, and execution plans. It also includes clients for object storage (file upload/download) and Redis-backed key-value services, with local development modes for testing.

Use it for:

- Define and run distributed workflow tasks with automatic retry and timeout handling across Render infrastructure
- Build async task pipelines in FastAPI or other async frameworks using RenderAsync for non-blocking execution
- Store and retrieve binary files (images, documents) via Render's experimental object storage API
- Manage a Redis-backed cache or session store via the experimental key-value service with auto-provisioning
- Monitor and cancel long-running task executions, stream task events, and list recent task runs

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Official Python SDK for Render that lets you define and run workflow tasks, manage task runs, and access experimental features like object storage and key-value services.

Yes, if you are building on the Render platform and need to orchestrate Python tasks. The SDK is actively maintained and has low install friction, but be aware it is in early access and subject to breaking changes. Verify that experimental features (object storage, key-value) meet your stability requirements before relying on them in production.

## Install

pip install render-sdk
uv add render-sdk
poetry add render-sdk

## Installing render_sdk

Before you install: Low install friction with a pure-Python wheel. Actively maintained with recent releases. Marked as early access and subject to breaking changes without notice.

License in practice: Licensed under Apache Software License (permissive), imposing no restrictions on use or redistribution.

Quickstart:

pip install render_sdk

from render_sdk import Workflows, Render

app = Workflows()

@app.task
def square(a: int) -> int:
    return a * a

render = Render()  # Uses RENDER_API_KEY from environment
result = render.workflows.run_task("my-workflow/my-task", [3, 4])

Requires RENDER_API_KEY environment variable set. Early access SDK subject to breaking changes.

Verify before relying:

- Whether the SDK's async support (RenderAsync, asyncio integration) is production-ready or still experimental
- Performance characteristics and scalability limits for task orchestration at scale
- Stability guarantees for experimental features (object storage, key-value) beyond early-access status

## Package facts

- License: not declared (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 101.6K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

render workflows python sdk, task orchestration python, render api client, distributed task runner, workflow task management, render object storage, async task execution, workflow-orchestration, async-first, early-access

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