NS1 Python SDK

This project is in active development.

A Python SDK for accessing NS1, the Data Driven DNS platform.

About

This package provides a python SDK for accessing the NS1 DNS platform and includes both a simple NS1 REST API wrapper as well as a higher level interface for managing zones, records, data feeds, and more. It supports synchronous and asynchronous transports.

Both python 2.7 and 3.3+ are supported. Automated tests are currently run against 2.7, 3.7, 3.8, 3.9 and 3.10.

Installation

$ pip install ns1-python

Dependencies

None, but supports different transport backends. Currently supported:

• requests (synchronous, the default if available)
• urllib (synchronous, the default if requests isn't available)
• twisted (asynchronous, requires 2.7 or 3.5+)

Other transports are easy to add, see transport

Examples

See the examples directory

Documentation

If you don't yet have an NS1 account, signup here (free)

You'll need an API Key. To create one, login to the portal and click on the Account button in the top right. Select Settings & Users, then add a new API Key at the bottom.

• Documentation at ReadTheDocs
• NS1 REST API Documentation

Tests

Unit tests use pytest (pip install pytest). 2.7 also requires mock to be installed (pip install mock).

Tests should, of course, run and pass under python 2 and 3. We use tox to automate test runs and virtualenv setup, see tox.ini for config.

Contributions

Pull Requests and issues are welcome. See the NS1 Contribution Guidelines for more information.

Editing the docs

You can create or edit NS1-python documentation by downloading the repo onto your machine and using an editor such as VSCode.

Creating Pull Requests

1. When you're ready to submit your changes, add a descriptive title and comments to summarize the changes made.
2. Select Create a new branch for this commit and start a pull request.
3. Check the Propose file change button.
4. Scroll down to compare changes with the original document.
5. Select Create pull request.

Our CI process will lint and check for formatting issues with flake8 and black. It is suggested to run these checks prior to submitting a pull request and fix any issues:

pip install flake8 black
flake8 . --count --show-source --statistics --extend-ignore=E501
black . --check -l 79 --diff