dda
Tool for developing on the Datadog Agent platform
Decision gist · record as of 2026-08-14
Yes, if you are developing on the Datadog Agent platform. The tool is actively maintained, has no known vulnerabilities, carries a permissive MIT license, and provides low-friction installation. The substantial dependency footprint and Python 3.12 requirement are reasonable for a specialized developer tool. If you are not working on the Datadog Agent codebase, this tool is not applicable.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.12 or later; PyPy is supported but CPython is the primary implementation.
- Low friction install with a pure-wheel distribution.
- Active maintenance with a release within the last 10 days and recent commits.
License · maintenance · safety
MIT (permissive) — MIT license permits free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
last release 2026-08-04 (10 days) · last repo commit 2026-08-14 · 8 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 73,947 downloads/mo, #14,901 on PyPI
Alternatives
Verify before relying
pip install dda
import dda
# See https://datadoghq.dev/datadog-agent-dev/ for usage details- Whether dda is intended for Datadog employees only or available for external agent contributors.
- What specific development workflows or tasks the tool automates beyond the summary.
- Whether the 26 runtime dependencies introduce any notable compatibility constraints beyond Python 3.12.
What it is and what it does
dda is the main command-line interface for developing on the Datadog Agent platform. It abstracts common development tasks—such as building, testing, and managing agent components—into a single tool, reducing friction for contributors working on the Datadog Agent codebase. The tool integrates with a substantial dependency graph (26 runtime dependencies including boto3, hvac, datadog-api-client, and uv) to provide features like cloud credential management, secret handling, package management, and rich terminal output.
The package is actively maintained, with recent releases and commits, and targets Python 3.12 as its minimum version. It is distributed as a pure-wheel package with low installation friction. The tool is intended for developers working within or contributing to the Datadog Agent ecosystem, and the documentation is hosted at datadoghq.dev.
Use it for
- Set up and configure a local development environment for Datadog Agent contributions.
- Automate common build, test, and deployment tasks for agent development workflows.
- Manage credentials and secrets (via hvac and keyring) when developing against Datadog infrastructure.
- Integrate with CI/CD pipelines for agent platform development and testing.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are developing on the Datadog Agent platform.
The tool is actively maintained, has no known vulnerabilities, carries a permissive MIT license, and provides low-friction installation. The substantial dependency footprint and Python 3.12 requirement are reasonable for a specialized developer tool. If you are not working on the Datadog Agent codebase, this tool is not applicable.
Install
dda on PyPI
Before you install
Low friction install with a pure-wheel distribution. Active maintenance with a release within the last 10 days and recent commits. Requires Python 3.12 or later.
Requires Python 3.12 or later; PyPy is supported but CPython is the primary implementation.
License in practice
MIT license permits free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
Quickstart
pip install dda
import dda
# See https://datadoghq.dev/datadog-agent-dev/ for usage detailsVerify before relying
- Whether dda is intended for Datadog employees only or available for external agent contributors.
- What specific development workflows or tasks the tool automates beyond the summary.
- Whether the 26 runtime dependencies introduce any notable compatibility constraints beyond Python 3.12.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.12 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 26 packagesada-urlbinaryboto3clickdatadog-api-clientdep-syncfilelockfind-exehttpx2httpxhvackeyringmsgspec-clickmsgspecpackagingplatformdirspsutilpyjson5pywinptyrich-clickrichtomlkittruststoretyping-extensionsuvwatchfiles |
| Maintenance | Actively maintained 10 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 73,947 / month, #14,901 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaProgramming Language :: PythonProgramming Language :: Python :: 3.12Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPy |
Evidence: dda-0.38.0-py3-none-any.whl
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