https://github.com/waveform-computing/lars

A framework for processing web server log files
https://github.com/waveform-computing/lars

apache-httpd csv iis python sql

Last synced: 7 days ago
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A framework for processing web server log files

• Host: GitHub
• URL: https://github.com/waveform-computing/lars
• Owner: waveform-computing
• License: mit
• Created: 2013-06-09T09:57:20.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2023-01-24T15:01:32.000Z (almost 2 years ago)
• Last Synced: 2024-09-26T02:59:31.540Z (about 2 months ago)
• Topics: apache-httpd, csv, iis, python, sql
• Language: Python
• Homepage: http://lars.readthedocs.org/
• Size: 332 KB
• Stars: 26
• Watchers: 4
• Forks: 6
• Open Issues: 3
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE.txt

Awesome Lists containing this project

README

        
====

lars

====

lars is a small `Python`_ framework for working with httpd logs (from a variety

of common servers like `Apache`_, `nginx`_, and IIS). The primary purpose is to

provide a set of conversions to ease loading such logs into relational

databases, but numerous other possibilities can be realized with a little

imagination. Which is to say: lars is *not* a web log analyzer. However, it

*is* a toolkit that makes it quite easy to construct your own analyzer.

.. _Apache: http://httpd.apache.org/

.. _nginx: http://wiki.nginx.org/

.. _Python: http://python.org/

Links

=====

* The code is licensed under the `MIT license`_

* The `source code`_ can be obtained from GitHub, which also hosts the `bug

  tracker`_

* The `documentation`_ (which includes installation instructions and several

  examples) can be read on ReadTheDocs

* The `build status`_ can be observed on Travis CI

.. _MIT license: http://opensource.org/licenses/MIT

.. _Python: http://python.org/

.. _source code: https://github.com/waveform-computing/lars

.. _bug tracker: https://github.com/waveform-computing/lars/issues

.. _documentation: http://lars.readthedocs.org/

.. _build status: https://travis-ci.org/waveform-computing/lars