datadog-checks-base
The Datadog Check Toolkit
Decision gist · record as of 2026-08-14
Yes. This is the official toolkit for Datadog Agent integration development, actively maintained with no known vulnerabilities, permissive licensing, and zero runtime dependencies. Install it if you are building, testing, or maintaining Datadog checks.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction install with no runtime dependencies.
- Actively maintained with a release 8 days ago.
License · maintenance · safety
BSD-3-Clause (permissive) — BSD-3-Clause is permissive and imposes minimal restrictions on use or redistribution.
last release 2026-08-06 (8 days) · last repo commit 2026-08-14 · 1,131 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 753,590 downloads/mo, #5,147 on PyPI
Alternatives
Verify before relying
pip install datadog-checks-base- Whether the package works with Python versions older than 3.13 despite no explicit requires_python constraint
- What lazy-loader and selective import strategies add to the actual install footprint
- How to instantiate and use the base classes in a standalone environment
What it is and what it does
Datadog Checks Base is the toolkit that powers Datadog Agent integrations. It provides the base classes and utilities that checks use to collect metrics and send them to Datadog. The package serves two main purposes: when running inside the Datadog Agent's embedded Python interpreter, it supplies the full integration framework; when installed in a standalone Python environment, it mocks the Agent so checks can be tested and developed locally without a running Agent.
The package is designed for lean resource usage through lazy-loading and selective imports, balancing a simple API with minimal memory overhead. It is actively maintained and used by integrations-core, making it the standard foundation for anyone building or testing Datadog Agent checks.
Use it for
- Develop and test custom Datadog Agent checks locally before deploying to production
- Build new integrations that collect metrics from applications or infrastructure
- Run integration tests for checks in CI/CD pipelines without a full Agent setup
- Mock Agent behavior in a standalone Python environment for check validation
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is the official toolkit for Datadog Agent integration development, actively maintained with no known vulnerabilities, permissive licensing, and zero runtime dependencies. Install it if you are building, testing, or maintaining Datadog checks.
Install
datadog-checks-base on PyPI
Before you install
Low friction install with no runtime dependencies. Actively maintained with a release 8 days ago.
License in practice
BSD-3-Clause is permissive and imposes minimal restrictions on use or redistribution.
Quickstart
pip install datadog-checks-baseVerify before relying
- Whether the package works with Python versions older than 3.13 despite no explicit requires_python constraint
- What lazy-loader and selective import strategies add to the actual install footprint
- How to instantiate and use the base classes in a standalone environment
Package facts
| License | BSD-3-Clause permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 8 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 753,590 / month, #5,147 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: System AdministratorsLicense :: OSI Approved :: BSD LicenseProgramming Language :: Python :: 3.13Topic :: System :: Monitoring |
Evidence: datadog_checks_base-38.0.0-py2.py3-none-any.whl
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