render_sdk
Python SDK for Render Workflows
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires RENDER_API_KEY environment variable set.
- Early access SDK subject to breaking changes.
- Low install friction with a pure-Python wheel.
License · maintenance · safety
permissive license (permissive) — Licensed under Apache Software License (permissive), imposing no restrictions on use or redistribution.
last release 2026-06-03 (72 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 101,634 downloads/mo, #12,923 on PyPI
Alternatives
Verify before relying
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])- 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
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 on this page. Verify before relying on it.
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
render-sdk on PyPI
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.
Requires RENDER_API_KEY environment variable set. Early access SDK subject to breaking changes.
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])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 | permissive license permissive |
| Python support | Supports the current Python release <4.0,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesaiohttphttpxopenapi-python-client |
| Maintenance | Actively maintained 72 days since the last release |
| First released | |
| Downloads | 101,634 / month, #12,923 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: render_sdk-0.7.0-py3-none-any.whl
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