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vercel

Python SDK for Vercel

With conditionsPyPI WWW/HTTPReleased Aug 20261.8M downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — vercel-0.10.0-py3-none-any.whl
v0.10.0 · released 2026-08-12 · Python >=3.10 · 14 runtime deps: anyio, cbor2, httpx, pydantic, python-dotenv, typing-extensions, vercel-cache, vercel-headers

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.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later; Vercel API token needed for authentication.
  • Low install friction with a pure-Python wheel distribution.
  • Active maintenance with a release from 2 days ago.

License · maintenance · safety

MIT (permissive) — MIT license permits commercial and private use with minimal restrictions—suitable for most projects.

last release 2026-08-12 (2 days)

0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,817,011 downloads/mo, #3,521 on PyPI

Verify before relying

pip install vercel

from vercel.client import AsyncVercel

client = AsyncVercel(token="your_token")
# Use client to interact with Vercel APIs
  • 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
Same gist for agents: .md · .json

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 on it.

With conditions

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

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.

Requires Python 3.10 or later; Vercel API token needed for authentication.

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

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

LicenseMIT permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
14 packages
anyiocbor2httpxpydanticpython-dotenvtyping-extensionsvercel-cachevercel-headersvercel-internal-corevercel-internal-telemetryvercel-oidcvercel-queuevercel-sandboxwebsockets
MaintenanceActively maintained 2 days since the last release
First released
Downloads1,817,011 / month, #3,521 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14

Evidence: vercel-0.10.0-py3-none-any.whl

Tags

Capabilities
vercel python sdkvercel blob storagevercel functions pythonvercel deployments apivercel workflows pythonvercel cache clientvercel oidc authenticationserverless function helpers
Topics
vercel-platformserverless-functionsapi-client

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See also vercel_blob · vercel-cache · vercel-headers · vercel-internal-telemetry · vercel-oidc · vercel-workers · twine · Flask-APScheduler · ftputil · ecsapi