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Project description


Runcrawler is a monitoring tool on software-usage based on data extraction.

Parallel computing program such as CFD-solver often run on different clusters, by different users. It is hard for managers to get a big picture on how the program is used. run crawler is a tool to monitor their usage and allow managers to get a various type of useful information by extracting data related to the execution of the program.

Here are some examples of questions which managers often have.

  • What are the typical errors repeated by the users of my team ?
  • Are our runs efficient in terms of CPU time ?
  • If so, are they related to a certain parameter setting ?

As an example, this chart pie shows the percentage of runs that are converged versus the runs that did not converge and on the side, the code associated to the reason it crashed (0 if it exited fine, 300 if not in that case)

Runcrawler can return the error codes associated to crashes and improve your understanding.


runcrawler is available by simple execution of

pip install runcrawler

How to use

Use the CLI

runcrawler scan-log path/to-your-file.

This will return a code corresponding to the reason why your run crashed.

To go further

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