Metadata-Version: 2.1
Name: datadog
Version: 0.23.0
Summary: The Datadog Python library
Home-page: https://www.datadoghq.com
Author: Datadog, Inc.
Author-email: dev@datadoghq.com
License: BSD
Description: The Datadog Python library
        ===========================
        [![Build Status](https://travis-ci.org/DataDog/datadogpy.svg?branch=master)](https://travis-ci.org/DataDog/datadogpy)
        [![Documentation Status](https://readthedocs.org/projects/datadogpy/badge/?version=latest)](https://readthedocs.org/projects/datadogpy/?badge=latest)
        
        Datadogpy is a collection of tools suitable for inclusion in existing Python projects or for development of standalone scripts. It provides an abstraction on top of Datadog's raw HTTP interface and the Agent's StatsD metrics aggregation server, to interact with Datadog and efficiently report events and metrics.
        
        For usage of StatsD metrics, the Agent must be [running and available](https://docs.datadoghq.com/developers/dogstatsd/).
        
        - Library Documentation: http://datadogpy.readthedocs.org/en/latest/
        - HTTP API Documentation: http://docs.datadoghq.com/api/
        - DatadogHQ: http://datadoghq.com
        
        See [CHANGELOG.md](CHANGELOG.md) for changes.
        
        Installation
        ------------
        To install from pip:
        
            pip install datadog
        
        To install from source:
        
            python setup.py install
        
        
        Quick Start Guide
        -----------------
        ```python
        # Configure the module according to your needs
        from datadog import initialize
        
        options = {
            'api_key':'api_key',
            'app_key':'app_key'
        }
        
        initialize(**options)
        
        # Use Datadog REST API client
        from datadog import api
        
        title = "Something big happened!"
        text = 'And let me tell you all about it here!'
        tags = ['version:1', 'application:web']
        
        api.Event.create(title=title, text=text, tags=tags)
        
        
        # Use Statsd, a Python client for DogStatsd
        from datadog import statsd
        
        statsd.increment('whatever')
        statsd.gauge('foo', 42)
        
        # Or ThreadStats, an alternative tool to collect and flush metrics, using Datadog REST API
        from datadog import ThreadStats
        stats = ThreadStats()
        stats.start()
        stats.increment('home.page.hits')
        
        ```
        
        Thread Safety
        -------------
        `DogStatsD` and `ThreadStats` are thread-safe.
        
Keywords: datadog
Platform: UNKNOWN
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: PyPy
Description-Content-Type: text/markdown
