The Datadog Checks Developer Tools
Project description
Datadog Checks Dev
This is the developer toolkit designed for use by any Agent-based check or integration repository.
Prerequisites
- Python 3.7+ needs to be available on your system. Python 2.7 is optional.
- Docker to run the full test suite.
Using a virtual environment is recommended.
Installation
datadog-checks-dev is distributed on PyPI as a universal wheel
and is available on Linux, macOS, and Windows, and supports Python 2.7/3.7+ and PyPy.
$ pip install "datadog-checks-dev[cli]"
At this point there should be a working executable, ddev, in your PATH. The help flag shortcut -h is available globally.
Documentation
Dev docs are hosted on readthedocs
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
File details
Details for the file datadog_checks_dev-0.26.1-py2.py3-none-any.whl.
File metadata
- Download URL: datadog_checks_dev-0.26.1-py2.py3-none-any.whl
- Upload date:
- Size: 124.5 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.0 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 3243297aeb465ea1743f6da858ae27b690828e5191b5b5cc77eca20e1262468f |
|
| MD5 | 12913530c4019793f23a0511422d92e4 |
|
| BLAKE2b-256 | b07236fdbaffed014e4b5f14e7372d0a21a68e4b07806630ab7a871323b45dc3 |
