upstash-redis
Serverless Redis SDK from Upstash
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, installs with minimal friction (one dependency), and fills a genuine gap for serverless Python applications needing Redis. The MIT license imposes no restrictions. Install it if you're building on serverless platforms and need Redis caching or data structures; skip it if you have persistent TCP connectivity and prefer the lower latency of direct Redis connections.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires UPSTASH_REDIS_REST_URL and UPSTASH_REDIS_REST_TOKEN environment variables or explicit url/token parameters; an active Upstash Redis database is required.
- Low friction: single runtime dependency (httpx), pure Python wheel, actively maintained with recent commits and regular updates under 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 · 69 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 814,749 downloads/mo, #4,991 on PyPI
Alternatives
Verify before relying
pip install upstash-redis
from upstash_redis import Redis
redis = Redis.from_env()
redis.set("key", "value")
print(redis.get("key"))- Performance characteristics compared to TCP-based Redis clients in non-serverless environments.
- Whether the retry mechanism (default: one retry after 3 seconds) is configurable for specific use cases.
- Telemetry data collection scope and whether it impacts privacy-sensitive deployments.
What it is and what it does
upstash-redis is a Python client library that communicates with Redis through HTTP requests to the Upstash REST API rather than establishing direct TCP connections. It's purpose-built for serverless platforms where persistent TCP connections are impractical or unavailable, such as AWS Lambda, Vercel, and Google Cloud Functions. The library provides both synchronous and asynchronous interfaces, supporting standard Redis commands including streams, pipelines, transactions, and custom commands.
The package depends only on httpx for HTTP communication and requires Python 3.8 or later. It handles connection credentials via environment variables or explicit parameters, includes automatic retry logic with configurable intervals, and supports optional base64 encoding for data serialization. The library is in GA stage and receives regular maintenance and bug fixes from Upstash's professional support team.
Use it for
- Cache layer in AWS Lambda functions where TCP connections are ephemeral or cost-prohibitive.
- Session storage in Vercel serverless functions using Redis Streams for real-time data handling.
- Distributed task queues in Google Cloud Functions leveraging Redis pipelines and transactions.
- Rate limiting and counters in serverless APIs without managing persistent connection pools.
- Real-time event processing with Redis Streams consumer groups in containerized serverless environments.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no known vulnerabilities, installs with minimal friction (one dependency), and fills a genuine gap for serverless Python applications needing Redis. The MIT license imposes no restrictions. Install it if you're building on serverless platforms and need Redis caching or data structures; skip it if you have persistent TCP connectivity and prefer the lower latency of direct Redis connections.
Install
upstash-redis on PyPI
Before you install
Low friction: single runtime dependency (httpx), pure Python wheel, actively maintained with recent commits and regular updates under Upstash Professional Support.
Requires UPSTASH_REDIS_REST_URL and UPSTASH_REDIS_REST_TOKEN environment variables or explicit url/token parameters; an active Upstash Redis database is required.
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 upstash-redis
from upstash_redis import Redis
redis = Redis.from_env()
redis.set("key", "value")
print(redis.get("key"))Verify before relying
- Performance characteristics compared to TCP-based Redis clients in non-serverless environments.
- Whether the retry mechanism (default: one retry after 3 seconds) is configurable for specific use cases.
- Telemetry data collection scope and whether it impacts privacy-sensitive deployments.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagehttpx |
| Maintenance | Actively maintained 149 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 814,749 / month, #4,991 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 :: 3.14Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonTopic :: DatabaseTopic :: Database :: Front-EndsTopic :: Software Development :: Libraries |
Evidence: upstash_redis-1.7.0-py3-none-any.whl
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See also qstash · upstash-ratelimit · upstash-vector · redis-cli · powerbot-client · aioredis · pydocket · redis-py-cluster · fakeredis · redis