---
id: datadog-api-client
version: "2.59.0"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# datadog-api-client — Collection of all Datadog Public endpoints

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install datadog-api-client
uv add datadog-api-client
poetry add datadog-api-client

## Description

# datadog-api-client-python

This repository contains a Python API client for the [Datadog API](https://docs.datadoghq.com/api/).

## Requirements

Building and using the API client library requires [Python 3.8+](https://www.python.org/downloads/).

## Installation

To install the API client library, simply execute:

```shell
pip install datadog-api-client
```

## Getting Started

Please follow the [installation](#installation) instruction and execute the following Python code:

```python
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.monitors_api import MonitorsApi
from datadog_api_client.v1.model.monitor import Monitor
from datadog_api_client.v1.model.monitor_type import MonitorType

body = Monitor(
    name="example",
    type=MonitorType("log alert"),
    query='logs("service:foo AND type:error").index("main").rollup("count").by("source").last("5m") > 2',
    message="some message Notify: @hipchat-channel",
    tags=["test:example", "env:ci"],
    priority=3,
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = MonitorsApi(api_client)
    response = api_instance.create_monitor(body=body)...

## AI interpretation — verify before relying

Python client library for the Datadog API, enabling programmatic access to monitors, dashboards, incidents, logs, and other Datadog resources with support for synchronous, threaded, and async operations.

Verdict: Well-maintained official Datadog client for Python 3.8+ with minimal dependencies, permissive licensing, and no known vulnerabilities. Suitable for production use in monitoring automation, dashboard management, and incident response workflows.

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