vercel-cache
Runtime cache helpers for Vercel Python applications
Decision gist · record as of 2026-08-14
Yes, if you are building Python applications on Vercel. The package is actively maintained, has low install friction, carries a permissive MIT license, and solves a real problem—providing a unified caching interface that works both in Vercel's managed environment and during local development. No known security vulnerabilities. Install it if you need caching in a Vercel Python project; skip it if you are not deploying to Vercel.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Active maintenance with a recent release cycle (6 days since last update).
- Low install friction with only three runtime dependencies (httpx, vercel-headers, vercel-internal-telemetry), all distributed as wheels.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions—suitable for most projects.
last release 2026-08-08 (6 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,026,984 downloads/mo, #4,475 on PyPI
Alternatives
Verify before relying
pip install vercel-cache
from vercel.cache import get_cache
cache = get_cache()
await cache.get('key')- Whether cache operations work correctly when Vercel environment variables are absent (in-memory fallback behavior not detailed).
- Performance characteristics and memory limits of the in-memory fallback cache.
- API surface and available cache methods beyond get() and aio.get_cache().
What it is and what it does
vercel-cache is a lightweight caching library designed specifically for Python applications running on Vercel's platform. It exposes a simple API for both synchronous and asynchronous code to access runtime cache, abstracting away the complexity of Vercel's environment-based caching setup. When Vercel's cache environment variables are not available—such as during local development or in other deployment contexts—the package automatically falls back to an in-memory cache, ensuring your code doesn't break in different environments.
The package is built on top of httpx, vercel-headers, and vercel-internal-telemetry, keeping dependencies minimal. It targets modern Python (3.10+) and maintains an active release cycle, suggesting ongoing support for Vercel's platform changes.
Use it for
- Cache API responses or computed data in Vercel-deployed Python applications to reduce latency and external API calls.
- Use async caching in high-concurrency serverless functions to improve throughput without blocking.
- Develop locally with the same caching API that works in production, relying on in-memory fallback during development.
- Store session data or temporary computation results across function invocations within Vercel's runtime constraints.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building Python applications on Vercel.
The package is actively maintained, has low install friction, carries a permissive MIT license, and solves a real problem—providing a unified caching interface that works both in Vercel's managed environment and during local development. No known security vulnerabilities. Install it if you need caching in a Vercel Python project; skip it if you are not deploying to Vercel.
Install
vercel-cache on PyPI
Before you install
Active maintenance with a recent release cycle (6 days since last update). Low install friction with only three runtime dependencies (httpx, vercel-headers, vercel-internal-telemetry), all distributed as wheels.
Requires Python 3.10 or later.
License in practice
MIT license permits commercial and private use with minimal restrictions—suitable for most projects.
Quickstart
pip install vercel-cache
from vercel.cache import get_cache
cache = get_cache()
await cache.get('key')Verify before relying
- Whether cache operations work correctly when Vercel environment variables are absent (in-memory fallback behavior not detailed).
- Performance characteristics and memory limits of the in-memory fallback cache.
- API surface and available cache methods beyond get() and aio.get_cache().
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packageshttpxvercel-headersvercel-internal-telemetry |
| Maintenance | Actively maintained 6 days since the last release |
| First released | |
| Downloads | 1,026,984 / month, #4,475 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: vercel_cache-0.7.2-py3-none-any.whl
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See also vercel · asyncache · vercel-headers · pylru · py-memoize · cachettl · onecache · charmcraftcache · purgatory · runware