-
Notifications
You must be signed in to change notification settings - Fork 0
summarize and visualize data in log files
License
jabrcx/logstats
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
Say you have data buried in log files. Need to identify some trends? Need to extract, summarize, and analyze numbers included in the log entries? Want something quick and easy without the need for an entire infrastructure for log analysis? That's what logstats is for. logstats reads in log files -- text files where each line starts with a timestamp. You specify regular expressions describing the events and/or numeric data you're interested in. logstats aggregates statistics about the events by regular time interval -- a time series histogram. By default it prints the data to the screen; if you have matplotlib installed it can plot it, too. It can also compute overall statistics in addition to the time series statistics. logstats is a standalone, command-line script, written in python, with no other external dependencies other than matplotlib, and that's only needed for extra plotting in addition to the default text output. For more information and examples, please see: http://jabrcx.github.com/logstats Copyright (c) 2013, John A. Brunelle All rights reserved.
About
summarize and visualize data in log files
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published