Skip to main content

Temporary package for

Project description

pygrok Build Status

Join the chat at

A Python library to parse strings and extract information from structured/unstructured data

What can I use Grok for?

  • parsing and matching patterns in a string(log, message etc.)
  • relieving from complex regular expressions.
  • extracting information from structured/unstructured data


$ pip install pygrok

or download, uncompress and install pygrok from here:

$ tar zxvf pygrok-xx.tar.gz
$ cd pygrok_dir
$ sudo python install

Getting Started

>>> import pygrok
>>> text = 'gary is male, 25 years old and weighs 68.5 kilograms'
>>> pattern = '%{WORD:name} is %{WORD:gender}, %{NUMBER:age} years old and weighs %{NUMBER:weight} kilograms'
>>> print pygrok.grok_match(text, pattern)
{'gender': 'male', 'age': '25', 'name': 'gary', 'weight': '68.5'}

Pretty Cool ! Some of the pattern you can use are listed here:

`WORD` means \b\w+\b in regular expression.
`NUMBER` means (?:%{BASE10NUM})
`BASE10NUM` means (?<![0-9.+-])(?>[+-]?(?:(?:[0-9]+(?:\.[0-9]+)?)|(?:\.[0-9]+)))

other patterns such as `IP`, `HOSTNAME`, `URIPATH`, `DATE`, `TIMESTAMP_ISO8601`, `COMMONAPACHELOG`..

See All patterns here

More details

Beause python re module does not support regular expression syntax atomic grouping(?>),so pygrok requires regex to be installed.

pygrok is inspired by Grok developed by Jordan Sissel. This is not a wrapper of Jordan Sissel’s Grok and totally implemented by me.

Grok is a simple software that allows you to easily parse strings, logs and other files. With grok, you can turn unstructured log and event data into structured data.Pygrok does the same thing.

I recommend you to have a look at logstash filter grok, it explains how Grok-like thing work.

pattern files come from logstash filter grok’s pattern files


  • You are encouraged to fork, improve the code, then make a pull request.
  • Issue tracker

Get Help

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for pygroker, version 0.1.1
Filename, size File type Python version Upload date Hashes
Filename, size pygroker-0.1.1.tar.gz (20.3 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page