vercel_blob
A Python Wrapper for Vercel Blob Storage API
Decision gist · record as of 2026-08-14
Yes, if you are already using Vercel Blob Storage and want a straightforward Python client. The package has low install friction, no known vulnerabilities, and recent maintenance. However, verify the license terms before use, and be aware that the underlying Vercel Blob Storage service is still in beta—expect possible API changes or connection issues. Not suitable if you need a stable, production-hardened storage abstraction.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires BLOB_READ_WRITE_TOKEN environment variable set for API authentication.
- Python 3.10 or later required.
- Low friction installation with four lightweight runtime dependencies.
License · maintenance · safety
(unclear) — License status is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the actual license terms in the repository before using in proprietary or commercial contexts.
last release 2025-06-07 (433 days) · last repo commit 2025-06-07 · 31 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 135,905 downloads/mo, #11,415 on PyPI
Alternatives
Verify before relying
pip install vercel_blob
import vercel_blob
# List blobs
blobs = vercel_blob.list({'limit': '5'})
# Upload a file
with open('file.txt', 'rb') as f:
resp = vercel_blob.put('test.txt', f.read())
# Delete a blob
vercel_blob.delete('blob_url')- Whether the 5TB multipart upload limit mentioned in the description is a Vercel Blob Storage platform limit or a vercel_blob-specific constraint.
- Current status of Vercel Blob Storage beta phase and any breaking API changes since package release.
- Whether the retry logic with exponential backoff is configurable or always uses the hardcoded 3-attempt strategy.
What it is and what it does
vercel_blob is a Python wrapper around the Vercel Blob Storage REST API, providing methods to manage files stored in Vercel's blob service. It abstracts HTTP requests into simple Python functions for listing, uploading, downloading, deleting, copying, and inspecting file metadata. The package depends on requests, urllib3, certifi, and tqdm for HTTP communication and progress reporting.
The wrapper supports both simple and multipart uploads, pagination for large file lists, optional random suffixes to prevent overwrites, and verbose progress output during operations. It handles network resilience through built-in retry logic with exponential backoff, though the description notes that Vercel Blob Storage is still in beta and connection errors can occur. The package targets Python 3.10 and later.
Use it for
- Upload user-generated content or media files to Vercel Blob Storage from a Python backend without writing raw HTTP requests.
- Batch delete or copy files across folders in blob storage as part of a data management or cleanup workflow.
- Download files from blob storage to a server for processing, with progress tracking via verbose output.
- List and paginate through large collections of stored blobs to implement file browsing or inventory features.
- Upload large video or media files using multipart uploads to improve resilience and potentially speed up transfers.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using Vercel Blob Storage and want a straightforward Python client.
The package has low install friction, no known vulnerabilities, and recent maintenance. However, verify the license terms before use, and be aware that the underlying Vercel Blob Storage service is still in beta—expect possible API changes or connection issues. Not suitable if you need a stable, production-hardened storage abstraction.
Install
vercel-blob on PyPI
Before you install
Low friction installation with four lightweight runtime dependencies. The package is aging but actively maintained as of June 2025, with a recent commit history. No notable install complications.
Requires BLOB_READ_WRITE_TOKEN environment variable set for API authentication. Python 3.10 or later required.
License in practice
License status is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the actual license terms in the repository before using in proprietary or commercial contexts.
Quickstart
pip install vercel_blob
import vercel_blob
# List blobs
blobs = vercel_blob.list({'limit': '5'})
# Upload a file
with open('file.txt', 'rb') as f:
resp = vercel_blob.put('test.txt', f.read())
# Delete a blob
vercel_blob.delete('blob_url')Verify before relying
- Whether the 5TB multipart upload limit mentioned in the description is a Vercel Blob Storage platform limit or a vercel_blob-specific constraint.
- Current status of Vercel Blob Storage beta phase and any breaking API changes since package release.
- Whether the retry logic with exponential backoff is configurable or always uses the hardcoded 3-attempt strategy.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release <4.0,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesrequestsurllib3certifitqdm |
| Maintenance | Aging 433 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 135,905 / month, #11,415 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13 |
Evidence: vercel_blob-0.4.2-py3-none-any.whl
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See also gsutil · vercel · osfclient · blobfile · vercel-headers · vercel-workers · python-multipart · ibm-cos-sdk-s3transfer · tuspy · obstore