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dbs3-client

With conditionsPyPI Front-EndsReleased Sep 2024485.7K downloads / moApache License, Version 2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — dbs3_client-4.0.19-py3-none-any.whl
v4.0.19 · released 2024-09-16 · 1 runtime deps: dbs3-pycurl

Yes, if you are a CMS physicist or data manager needing programmatic access to DBS3 from Python. No, if you are outside the CMS collaboration or need a general-purpose REST client—the package is CMS-specific, dormant (last release 697 days ago), and requires non-trivial system setup (libcurl, X.509 certs). The low install friction and zero known vulnerabilities are offset by operational complexity and maintenance uncertainty.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires libcurl system library (install via yum or apt-get), X.509 certificate and key files for authentication, and environment variables DBS3_CLIENT_ROOT, X509_USER_CERT, X509_USER_KEY to be set.
  • Low install friction with a single runtime dependency (dbs3-pycurl).
  • However, the package is dormant—last release was 697 days ago—and requires libcurl system libraries and X.509 certificate setup, which adds operational complexity despite straightforward pip installation.

License · maintenance · safety

Apache License, Version 2.0 (permissive) — Licensed under Apache License, Version 2.0 (permissive), allowing commercial and private use with minimal restrictions; suitable for most deployment contexts.

last release 2024-09-16 (697 days) · last repo commit 2024-09-16 · 4 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 485,720 downloads/mo, #6,396 on PyPI

Verify before relying

pip install dbs3-client

from dbs3_client import DbsApi

url = "https://cmsweb-testbed.cern.ch/dbs/prod/global/DBSReader/"
dbs3api = DbsApi(url=url)
print(dbs3api.listDataTiers(data_tier_name='AOD'))
  • Whether the package works with Python versions beyond 3.8.2 despite documentation recommending 3.8.2 specifically.
  • Current compatibility with modern pycurl versions or if pycurl==7.43.0.6 remains a hard requirement.
  • Whether the package is actively maintained or if dormancy signals end-of-life for this CMS-internal tool.
  • Exact API surface and available methods beyond listDataTiers() shown in documentation.
Same gist for agents: .md · .json

What it is and what it does

DBS3-Client is a Python wrapper around the Data Bookkeeping Service 3 REST API used by the CMS experiment at CERN. It allows Python scripts to query and manage event dataset metadata—including processing history, associated files, runs, and data tiers—without directly calling HTTP endpoints. The library abstracts the REST layer and JSON serialization, providing a Pythonic interface to a CMS-internal data catalog.

The package depends on dbs3-pycurl for HTTP communication and requires libcurl to be installed on the system. Setup involves installing system libraries, configuring X.509 certificates for authentication, and exporting environment variables. It is designed for CMS physicists and data managers working with Monte Carlo simulations and recorded collision data.

Use it for

  • Query CMS dataset metadata (tiers, files, runs) from Python scripts in analysis workflows.
  • Automate dataset discovery and validation during data processing pipelines.
  • Retrieve processing history and file locations for a given dataset in batch jobs.
  • Validate dataset availability and metadata consistency in Monte Carlo production.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you are a CMS physicist or data manager needing programmatic access to DBS3 from Python.

No, if you are outside the CMS collaboration or need a general-purpose REST client—the package is CMS-specific, dormant (last release 697 days ago), and requires non-trivial system setup (libcurl, X.509 certs). The low install friction and zero known vulnerabilities are offset by operational complexity and maintenance uncertainty.

Install

dbs3-client on PyPI

Before you install

Low install friction with a single runtime dependency (dbs3-pycurl). However, the package is dormant—last release was 697 days ago—and requires libcurl system libraries and X.509 certificate setup, which adds operational complexity despite straightforward pip installation.

Requires libcurl system library (install via yum or apt-get), X.509 certificate and key files for authentication, and environment variables DBS3_CLIENT_ROOT, X509_USER_CERT, X509_USER_KEY to be set.

License in practice

Licensed under Apache License, Version 2.0 (permissive), allowing commercial and private use with minimal restrictions; suitable for most deployment contexts.

Quickstart

pip install dbs3-client

from dbs3_client import DbsApi

url = "https://cmsweb-testbed.cern.ch/dbs/prod/global/DBSReader/"
dbs3api = DbsApi(url=url)
print(dbs3api.listDataTiers(data_tier_name='AOD'))

Verify before relying

  • Whether the package works with Python versions beyond 3.8.2 despite documentation recommending 3.8.2 specifically.
  • Current compatibility with modern pycurl versions or if pycurl==7.43.0.6 remains a hard requirement.
  • Whether the package is actively maintained or if dormancy signals end-of-life for this CMS-internal tool.
  • Exact API surface and available methods beyond listDataTiers() shown in documentation.

Package facts

LicenseApache License, Version 2.0 permissive
Python supportNot specified
Install frictionLow. Pure-Python wheel
Runtime dependencies
1 package
dbs3-pycurl
MaintenanceDormant 697 days since the last release
Last repo commit
First released
Downloads485,720 / month, #6,396 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14

Evidence: dbs3_client-4.0.19-py3-none-any.whl

Tags

Capabilities
CMS dataset catalog clientDBS3 Python APIevent data bookkeeping serviceCMS data managementdataset metadata queryREST API data catalog
Topics
cms-specificdata-catalog

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See also dbs3-pycurl · athina-client · arize-phoenix-client · contentful_management · bdbag · google-cloud-datacatalog · globus-sdk · fiftyone · django-cms · google-cloud-bigquery