vercel
Python SDK for Vercel
What it is and what it does
Vercel is the official Python SDK for Vercel's platform, exposing a collection of public modules that wrap Vercel APIs and provide helpers for serverless function development. It covers blob storage operations, runtime caching, cron scheduling, deployment management, OIDC token handling, workflow orchestration, project administration, and request context utilities like headers and geolocation.
The package bundles 14 runtime dependencies including httpx for HTTP requests, pydantic for data validation, and several Vercel-owned internal modules (vercel-cache, vercel-headers, vercel-oidc, vercel-queue, vercel-sandbox, vercel-internal-core, vercel-internal-telemetry). It is designed for developers building on Vercel's infrastructure who need programmatic access to platform features from Python code running in Vercel Functions or external services.
Use it for:
- Upload, download, and manage files in Vercel Blob storage from Python applications
- Implement cron-triggered tasks and scheduled workflows in Vercel Functions
- Programmatically create and manage Vercel deployments and project configuration
- Retrieve and validate OIDC tokens for secure service-to-service authentication
- Access request context (headers, IP, geolocation) in Vercel Function handlers
- Orchestrate multi-step workflows with built-in sleep and hook support
Worth the install?
AI-flagged interpretation of the facts on this page — verify before relying
Python SDK for Vercel that provides modules for interacting with Vercel APIs including blob storage, caching, cron scheduling, deployments, OIDC, workflows, and project management.
Yes, if you are building on Vercel's platform and need programmatic access to Vercel APIs from Python. The package is actively maintained, has low install friction, carries a permissive MIT license, and requires only Python 3.10+. No known vulnerabilities. Install only if you have a Vercel account and an actual use case for one of its modules.
Install
vercel on PyPI
pip
pip install verceluv
uv add vercelpoetry
poetry add vercelInstalling vercel
Before you install
Low install friction with a pure-Python wheel distribution. Active maintenance with a release from 2 days ago. 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
from vercel.client import AsyncVercel
client = AsyncVercel(token="your_token")
# Use client to interact with Vercel APIs
Requires Python 3.10 or later; Vercel API token needed for authentication.
Verify before relying
- Whether vercel-internal-* dependencies are stable or subject to breaking changes without notice
- Documentation availability and completeness for each public module
- Support status for Python versions beyond 3.10
Package facts
| License | MIT (permissive) |
| Python support | supports the current Python release (>=3.10) |
| Install friction | low — pure-Python wheel |
| Runtime dependencies | 14 — anyio, cbor2, httpx, pydantic, python-dotenv, typing-extensions, vercel-cache, vercel-headers, vercel-internal-core, vercel-internal-telemetry, vercel-oidc, vercel-queue, vercel-sandbox, websockets |
| Maintenance | actively maintained — 2 days since the last release |
| First released | |
| Downloads | 1,817,011/month — #3,521 on PyPI (30-day window, as of 2026-08-14) |
| Known vulnerabilities | none known (OSV.dev, checked 2026-08-14) |
Evidence: vercel-0.10.0-py3-none-any.whl
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