datadog

The Datadog Python library

datadog Permissive license BSD-3-Clause Active ★ 669 v0.53.0 released 2026-07-24

Install

datadog on PyPI

pip

pip install datadog

uv

uv add datadog

poetry

poetry add datadog

Package facts

License	BSD-3-Clause (permissive)
Python support	supports the current Python release (!=3.0.,!=3.1.,!=3.2.,!=3.3.,!=3.4.,!=3.5.,!=3.6.*,>=2.7)
Install friction	low — pure-Python wheel
Runtime dependencies	3 — configparser, requests, typing
Maintenance	actively maintained — 20 days since the last release
Last repo commit	2026-08-11
First released	2015-03-11
Popularity	one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: datadog-0.53.0-py2.py3-none-any.whl

Keywords: datadog

License :: OSI Approved :: BSD LicenseOperating System :: OS IndependentProgramming Language :: Python :: 2.7Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPy

About datadog

from the package's own PyPI description — quoted content, verbatim

The Datadog Python library

Unit Tests (image) Integration Tests (image) Documentation Status (image) PyPI - Version (image) PyPI - Downloads (image)

The Datadog Python Library is a collection of tools suitable for inclusion in existing Python projects or for the development of standalone scripts. It provides an abstraction on top of Datadog's raw HTTP interface and the Agent's DogStatsD metrics aggregation server, to interact with Datadog and efficiently report events and metrics.

Library Documentation:...

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AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

The Datadog Python library provides HTTP API clients and DogStatsD metrics aggregation to send events, metrics, and service checks to Datadog monitoring infrastructure.

Low install friction with a pure-Python wheel distribution. Actively maintained with a release 20 days ago and recent commits; the repository shows 669 stars and is not archived.

BSD-3-Clause is a permissive open-source license allowing commercial use, modification, and distribution with minimal restrictions.

Usage

pip install datadog

from datadog import initialize, api

options = {"api_key": "<YOUR_API_KEY>", "app_key": "<YOUR_APP_KEY>"}
initialize(**options)
api.Event.create(title="Alert", text="Event details", tags=["env:prod"])

Requires DATADOG_API_KEY and DATADOG_APP_KEY environment variables or explicit initialization with api_key and app_key parameters; DogStatsD metrics require a running Datadog Agent.

Verdict: Actively maintained library with low install friction and no known vulnerabilities. Permissive BSD-3-Clause license poses no compliance barrier. Supports Python 2.7 and 3.7+, making it suitable for both legacy and modern applications integrating with Datadog.

Needs verification

Whether the library's Python 2.7 support remains tested and functional given Python 2's end-of-life status.
Performance characteristics and throughput limits for high-volume metric submission via DogStatsD.
Whether configparser, requests, and typing dependencies are vendored or require separate installation.

datadog api client pythondogstatsd metrics reportingdatadog event submissionmonitoring metrics aggregationdatadog agent integrationcustom metrics pythonapplication performance monitoring