What is it?

Markus is a Python library for generating metrics.

Markus makes it easier to generate metrics in your program by:

• providing multiple backends (Datadog statsd, statsd, logging, logging roll-up, and so on) for sending metrics data to different places
• sending metrics to multiple backends at the same time
• providing a testing framework for easy metrics generation testing
• providing a decoupled architecture making it easier to write code to generate metrics without having to worry about making sure creating and configuring a metrics client has been done--similar to the Python logging module in this way

We use it at Mozilla on many projects.

v2.0.0 released!

I released v2.0.0 just now. Changes:

Features

• Use time.perf_counter() if available. Thank you, Mike! (#34)
• Support Python 3.7 officially.
• Add filters for adjusting and dropping metrics getting emitted. See documentation for more details. (#40)

Backwards incompatible changes

• tags now defaults to [] instead of None which may affect some expected test output.

• Adjust internals to run .emit() on backends. If you wrote your own backend, you may need to adjust it.

• Drop support for Python 3.4. (#39)

• Drop support for Python 2.7.

  If you're still using Python 2.7, you'll need to pin to <2.0.0. (#42)

Bug fixes

• Document feature support in backends. (#47)
• Fix MetricsMock.has_record() example. Thank you, John!

Where to go for more

Changes for this release: https://markus.readthedocs.io/en/latest/history.html#september-19th-2019

Documentation and quickstart here: https://markus.readthedocs.io/en/latest/index.html

Source code and issue tracker here: https://github.com/willkg/markus

Let me know whether this helps you!