ddtrace

Datadog APM client library

ddtrace Permissive license LICENSE.BSD3 Active ★ 648 v4.13.1 released 2026-08-13

Install

ddtrace on PyPI

pip

pip install ddtrace

uv

uv add ddtrace

poetry

poetry add ddtrace

Package facts

License	LICENSE.BSD3 (permissive)
Python support	supports the current Python release (<3.15,>=3.9)
Install friction	medium — platform-specific wheel
Runtime dependencies	4 — bytecode, envier, opentelemetry-api, wrapt
Maintenance	actively maintained — 0 days since the last release
Last repo commit	2026-08-13
First released	2017-01-23
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: ddtrace-4.13.1-cp310-cp310-macosx_14_0_arm64.whl; ddtrace-4.13.1-cp310-cp310-macosx_14_0_x86_64.whl; ddtrace-4.13.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; ddtrace-4.13.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; ddtrace-4.13.1-cp310-cp310-musllinux_1_2_aarch64.whl; ddtrace-4.13.1-cp310-cp310-musllinux_1_2_x86_64.whl; ddtrace-4.13.1-cp310-cp310-win32.whl; ddtrace-4.13.1-cp310-cp310-win_amd64.whl; ddtrace-4.13.1-cp311-cp311-macosx_14_0_arm64.whl; ddtrace-4.13.1-cp311-cp311-macosx_14_0_x86_64.whl; ddtrace-4.13.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; ddtrace-4.13.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; ddtrace-4.13.1-cp311-cp311-musllinux_1_2_aarch64.whl; ddtrace-4.13.1-cp311-cp311-musllinux_1_2_x86_64.whl; ddtrace-4.13.1-cp311-cp311-win32.whl; ddtrace-4.13.1-cp311-cp311-win_amd64.whl; ddtrace-4.13.1-cp311-cp311-win_arm64.whl; ddtrace-4.13.1-cp312-cp312-macosx_14_0_arm64.whl; ddtrace-4.13.1-cp312-cp312-macosx_14_0_x86_64.whl; ddtrace-4.13.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl

Development Status :: 5 - Production/StableProgramming Language :: PythonProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPython

About ddtrace

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

`ddtrace`

CircleCI (image) PypiVersions (image) Pyversions (image)

This library powers Distributed Tracing, Continuous Profiling, Error Tracking, Test Optimization, Deployment Tracking, Code Hotspots, Dynamic Instrumentation, and more.

To get started with tracing, check out the [product documentation][setup docs] or the [glossary][visualization docs].

For...

Read as markdown · JSON record · Source repository · Homepage · Docs

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

Datadog's APM client library that instruments Python applications to enable distributed tracing, continuous profiling, error tracking, and deployment monitoring integrated with the Datadog platform.

Medium install friction with precompiled wheels across Python 3.9–3.14 and multiple platforms (macOS, Linux, Windows, including ARM64). Four runtime dependencies (bytecode, envier, opentelemetry-api, wrapt) are lightweight. Active maintenance with a release on 2026-08-13 and 648 GitHub stars.

Licensed under BSD 3-Clause (permissive), allowing commercial and private use with minimal restrictions; users must include a copy of the license and disclaimer.

Usage

pip install ddtrace

import ddtrace
from ddtrace import tracer

with tracer.trace('my_operation'):
    pass

Requires Python 3.9–3.14; Datadog agent or backend endpoint must be configured via environment variables (e.g., DD_TRACE_AGENT_URL) for traces to be sent.

Verdict: Production-ready, actively maintained APM library from Datadog with no known vulnerabilities, broad platform coverage, and permissive licensing. Install friction is moderate due to compiled extensions, but prebuilt wheels mitigate most friction. Suitable for teams already using Datadog or evaluating comprehensive observability integration.

Needs verification

Whether bytecode, envier, opentelemetry-api, and wrapt versions are pinned or have known compatibility constraints.
Performance overhead of instrumentation in high-throughput applications.
Compatibility with async frameworks (asyncio, aiohttp, FastAPI) beyond the fact sheet's scope.

distributed tracing pythonapm instrumentationdatadog tracing clientcontinuous profiling pythonapplication performance monitoringerror tracking instrumentationdynamic instrumentation python