---
id: vercel-cache
version: "0.7.2"
license: MIT
license_treatment: permissive
maintenance: active
---

# vercel-cache — Runtime cache helpers for Vercel Python applications

License: permissive · Maintenance: active · Downloads: 1.0M/mo

## 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 above — verify before relying.

Provides runtime cache helpers for Vercel Python applications, supporting both synchronous and asynchronous code with automatic fallback to in-memory caching when environment variables are unavailable.

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

pip install vercel-cache
uv add vercel-cache
poetry add vercel-cache

## Installing vercel-cache

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.

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')

Requires Python 3.10 or later.

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_current
- Install friction: low
- Maintenance: active
- Downloads: 1.0M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

vercel python cache, runtime caching vercel, async cache helpers, vercel environment cache, in-memory cache fallback, python cache management, vercel-platform, async-cache

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