qstash
Python SDK for Upstash QStash
Decision gist · record as of 2026-08-14
Yes, if you are building on Upstash's infrastructure or need a managed message queue for serverless workloads. The package is actively maintained, has low install friction, carries a permissive MIT license, and has no known vulnerabilities. It is production-ready (GA status) and suitable for applications that rely on QStash for messaging and scheduling.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a valid QStash token from the Upstash Console (https://console.upstash.com/qstash) to authenticate API calls.
- Low install friction with only two runtime dependencies (httpx and pyjwt).
- Actively maintained with recent releases; marked as GA and covered by Upstash Professional Support.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; you may use, modify, and distribute this package freely provided you include the license notice.
last release 2026-03-18 (149 days) · last repo commit 2026-03-18 · 27 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 281,149 downloads/mo, #8,105 on PyPI
Alternatives
Verify before relying
pip install qstash
from qstash import QStash
client = QStash("<QSTASH_TOKEN>")
res = client.message.publish_json(
url="https://example.com",
body={"hello": "world"},
)
print(res.message_id)- Whether the package handles automatic retries for failed message deliveries to endpoints
- Whether LLM provider integrations beyond OpenAI are supported
- Performance characteristics under high message volume
What it is and what it does
QStash is a Python client for Upstash's HTTP-based message queue and scheduling service. It lets you publish messages to HTTP endpoints, schedule recurring or delayed tasks using cron expressions, and verify incoming webhook signatures from QStash. The SDK wraps HTTP calls to the QStash API and provides convenience methods for common operations like publishing JSON payloads, creating schedules, and receiving authenticated messages.
Typically used in serverless environments (AWS Lambda, Vercel Functions, etc.) where you need to queue work, schedule background jobs, or coordinate between services without managing your own message broker. It depends on httpx for HTTP requests and pyjwt for signature verification, and supports Python 3.8 through 3.13.
Use it for
- Queue HTTP requests to be delivered with retry logic and scheduling in serverless functions
- Schedule recurring tasks using cron expressions without a persistent scheduler
- Verify and process webhook callbacks from QStash in your application handlers
- Publish messages to LLM APIs (e.g., OpenAI) with callback handling for results
- Implement delayed task execution with configurable backoff and retry strategies
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building on Upstash's infrastructure or need a managed message queue for serverless workloads.
The package is actively maintained, has low install friction, carries a permissive MIT license, and has no known vulnerabilities. It is production-ready (GA status) and suitable for applications that rely on QStash for messaging and scheduling.
Install
qstash on PyPI
Before you install
Low install friction with only two runtime dependencies (httpx and pyjwt). Actively maintained with recent releases; marked as GA and covered by Upstash Professional Support.
Requires a valid QStash token from the Upstash Console (https://console.upstash.com/qstash) to authenticate API calls.
License in practice
MIT license permits commercial and private use with minimal restrictions; you may use, modify, and distribute this package freely provided you include the license notice.
Quickstart
pip install qstash
from qstash import QStash
client = QStash("<QSTASH_TOKEN>")
res = client.message.publish_json(
url="https://example.com",
body={"hello": "world"},
)
print(res.message_id)Verify before relying
- Whether the package handles automatic retries for failed message deliveries to endpoints
- Whether LLM provider integrations beyond OpenAI are supported
- Performance characteristics under high message volume
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packageshttpxpyjwt |
| Maintenance | Actively maintained 149 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 281,149 / month, #8,105 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonTopic :: DatabaseTopic :: Database :: Front-EndsTopic :: Software Development :: Libraries |
Evidence: qstash-3.4.0-py3-none-any.whl
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See also upstash-redis · upstash-vector · upstash-ratelimit · hatchet-sdk · rq-scheduler · slixmpp · clx-sdk-xms · azure-servicebus · saq · celery