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Python client for the Evergreen API

Project description

A client library for the Evergreen API written in python. Currently supports the V2 version of the API. For more details, see

PyPI - Python Version PyPI Coverage Status

Table of contents

  1. Description
  2. Getting Help
  3. Dependencies
  4. Installation
  5. Usage
  6. Documentation
  7. Contributor's Guide


This is a Python client library for interacting with Evergreen and Evergreen objects. It currently only supports the V2 version of Evergreen's api. It can be used either by Python code in a separate application or on the command line to get data about Evergreen objects quickly and easily.

Getting Help

What's the right channel to ask my question?

If you have a question about, please mention @dag-on-call in slack channel #evergreen-users, or email us at

How can I request a change/report a bug in

Create a DAG ticket.

What should I include in my ticket or #evergreen-users question?

Since #evergreen-users questions are interrupts, please include as much information as possible. This can help avoid long information-gathering threads.

Please include the following:

  • Motivation for Request
    • provide us the motivation for this change.
  • Context
    • provide some background contexts for this issue.
  • Description
    • provide some descriptions on how this issue happened.


  • Python 3.7 or later


$ pip install


This client can be used either in code or directly via the command line.

In code:

>> from evergreen.api import EvgAuth, EvergreenApi
>> api = EvergreenApi.get_api(EvgAuth('david.bradford', '***'))
>> project = api.project_by_id('mongodb-mongo-master')
>> project.display_name
'MongoDB (master)'


$ evg-api --json list-hosts
    "host_id": "host num 0",
    "host_url": "",
    "distro": {
        "distro_id": "ubuntu1804-build",
        "provider": "static",
        "image_id": ""
    "provisioned": true,
    "started_by": "mci",
    "host_type": "",
    "user": "mci-exec",
    "status": "running",
    "running_task": {
        "task_id": null,
        "name": null,
        "dispatch_time": null,
        "version_id": null,
        "build_id": null
    "user_host": false


You can find the documentation here.

Contributor's Guide

Setting up a local development environment


  • Poetry 1.1 or later

You will need Evergreen credentials on your local machine to use this library or the attached CLI. You can set up your credentials by following the link here.


This project uses black for formatting.

poetry run black src tests

Running tests

poetry run pytest

There are a few tests that are slow running. These tests are not run by default, but can be included by setting the env variable RUN_SLOW_TESTS to any value.

$ RUN_SLOW_TEST=1 poetry run pytest

To get code coverage information:

$ poetry run pytest --cov=src --cov-report=html

Automatically running checks on commit

This project has pre-commit configured. Pre-commit will run configured checks at git commit time. To enable pre-commit on your local repository run:

$ poetry run pre-commit install


Before deploying a new version, please update the file with a description of what is being changed.

Deploys to PyPi are done automatically on merges to master. In order to avoid overwriting a previous deploy, the version should be updated on all changes. The semver versioning scheme should be used for determining the version number.

The version is found in the pyproject.toml file.

Code Review

This project uses the Evergreen Commit Queue. Add a PR comment with evergreen merge to trigger a merge.


Deployment to production is automatically triggered on merges to master.

Project details

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