4 ms·

Personal Git Commit Statistics

30 points by forknore 15y ago

jarofgreen 15y ago
I once spent a weekend hacking together something like this. http://jarofgreen.co.uk/2011/04/introducing-creepycoder/ http://jarofgreen.co.uk/2011/04/introducing-creepycoder/ The code was done over several quick sessions (there's a visualisation of that in the link above) so it's really scrappy, but it pulls out the timestamps of a programmers commits and presents that in several different formats. It uses Github API or just SVN log. https://github.com/jarofgreen/CreepyCoder https://github.com/jarofgreen/CreepyCoder I agree with you that LOC is not really a great metric. Next I was going to look at separating variables in the data & comparing them - eg, see two programmers commit habits side-by-side. I've also been to a talk by a company that pulled stats from commit logs, will try to find it and post it.
- jarofgreen 15y ago
  This was the talk ... http://www.edinburgh.bcs.org/events/2010-11/110411.htm http://www.edinburgh.bcs.org/events/2010-11/110411.htm
- masklinn 15y ago
  > http://jarofgreen.co.uk/2011/04/introducing-creepycoder/ http://jarofgreen.co.uk/2011/04/introducing-creepycoder/ hg has a pretty great extension shipped with it doing that kind of stats collecting: churn. Git might have something similar already, no? For instance, your graphs 2 and 3 (commits by hour of day and commits by day of week) can be obtained through the following (tested on pypy's repo): > hg -R pypy churn -csf "%H" 00 850 ************** 01 534 ********* 02 385 ****** 03 299 ***** 04 202 *** 05 181 *** 06 217 *** 07 449 ******* 08 1336 ********************* 09 2421 *************************************** 10 2893 *********************************************** 11 3295 ***************************************************** 12 3277 ***************************************************** 13 3596 ********************************************************** 14 3915 *************************************************************** 15 4105 ****************************************************************** 16 3955 **************************************************************** 17 3812 ************************************************************* 18 3259 **************************************************** 19 2091 ********************************** 20 1713 **************************** 21 1630 ************************** 22 1466 ************************ 23 1225 ******************** > hg -R pypy churn -csf "%u" 1 6985 ************************************************************ 2 7741 ******************************************************************* 3 7594 ****************************************************************** 4 7404 **************************************************************** 5 7470 ***************************************************************** 6 5213 ********************************************* 7 4699 ***************************************** (-c counts changesets rather than diff lines; -s sorts by aggregation key rather than resultcount; -f aggredates on an strftime-like dateformat)
  - jarofgreen 15y ago
    Cool, never used hg, thanks. Git might have a module; I've never seen it if it does. However, having it separate to git means we can pull in other data to build up a complete picture of the users activity - the comments made in an issue tracker for instance.
thenduks 15y ago
Maybe I'm missing something about the desired data, but why not just do something like: git shortlog -s | grep "My Name" This shows how many commits you've made on a repo. Omit the grep to see everyone's counts.
- jarofgreen 15y ago
  But then it's just a list of dates and its hard to see any patterns - that was my motivation ... I wanted graphs, iCal data you can put on a calendar and so on.
  - thenduks 15y ago
    A list of dates? Using my command I showed above I get the following output: 2791 Ryan Funduk Still, yea, if you want data you could put on a calendar then I would instead suggest `git log` with `pretty-format` which you could then parse pretty easily. Docs: http://www.kernel.org/pub/software/scm/git/docs/git-log.html http://www.kernel.org/pub/software/scm/git/docs/git-log.html Eg, here's a command that will output a csv with the commit sha, message, unix timestamp and committer name: git log --pretty=format:'"%h", "%s", "%at", "%an"' | grep "Your Name"
    - jarofgreen 15y ago
      Ahh, sorry, I wasn't familiar with the shortlog command. I still want to be able to pick out patterns in the data tho. Getting the data out is only half the battle, then you have to be able to pick out something interesting in it. If you see my other comment here, I already wrote some scripts that pulled timestamps into iCal files and graphs.
- stravid 15y ago
  That's a perfectly fine solution, but not exactly what I want. With this solution I would have to keep a list of repositories up to date. And in order to update my data I would always need to clone every repository, run the command and put all numbers together. I like automation, so I looked for a different solution.
orta 15y ago
The question is how does he get all the data? I have a bash function that does a git commit, and sends off the message / repo name to a webserver that provides a reasonable interface for it. http://cl.ly/3u3w1h3x2e1P1L3d0g31 http://cl.ly/3u3w1h3x2e1P1L3d0g31
amujumdar 15y ago
You could use Ohloh. As an example, here is one of stravid's projects on Ohloh - https://www.ohloh.net/p/stravids_mapgenerator https://www.ohloh.net/p/stravids_mapgenerator
znq 15y ago
If you don't mind having your statistics in public, have a look at Masterbranch http://www.masterbranch.com/ http://www.masterbranch.com/ It also serves very well as a CV for programmers.
xbryanx 15y ago
I love this collection of Python scripts to provide Git stats for my projects. Appropriately named http://gitstats.sourceforge.net/ http://gitstats.sourceforge.net/

30 points by forknore 15y ago

I once spent a weekend hacking together something like this. http://jarofgreen.co.uk/2011/04/introducing-creepycoder/ http://jarofgreen.co.uk/2011/04/introducing-creepycoder/ The code was done over several quick sessions (there's a visualisation of that in the link above) so it's really scrappy, but it pulls out the timestamps of a programmers commits and presents that in several different formats. It uses Github API or just SVN log. https://github.com/jarofgreen/CreepyCoder https://github.com/jarofgreen/CreepyCoder I agree with you that LOC is not really a great metric. Next I was going to look at separating variables in the data & comparing them - eg, see two programmers commit habits side-by-side. I've also been to a talk by a company that pulled stats from commit logs, will try to find it and post it.

jarofgreen 15y ago
This was the talk ... http://www.edinburgh.bcs.org/events/2010-11/110411.htm http://www.edinburgh.bcs.org/events/2010-11/110411.htm
masklinn 15y ago
> http://jarofgreen.co.uk/2011/04/introducing-creepycoder/ http://jarofgreen.co.uk/2011/04/introducing-creepycoder/ hg has a pretty great extension shipped with it doing that kind of stats collecting: churn. Git might have something similar already, no? For instance, your graphs 2 and 3 (commits by hour of day and commits by day of week) can be obtained through the following (tested on pypy's repo): > hg -R pypy churn -csf "%H" 00 850 ************** 01 534 ********* 02 385 ****** 03 299 ***** 04 202 *** 05 181 *** 06 217 *** 07 449 ******* 08 1336 ********************* 09 2421 *************************************** 10 2893 *********************************************** 11 3295 ***************************************************** 12 3277 ***************************************************** 13 3596 ********************************************************** 14 3915 *************************************************************** 15 4105 ****************************************************************** 16 3955 **************************************************************** 17 3812 ************************************************************* 18 3259 **************************************************** 19 2091 ********************************** 20 1713 **************************** 21 1630 ************************** 22 1466 ************************ 23 1225 ******************** > hg -R pypy churn -csf "%u" 1 6985 ************************************************************ 2 7741 ******************************************************************* 3 7594 ****************************************************************** 4 7404 **************************************************************** 5 7470 ***************************************************************** 6 5213 ********************************************* 7 4699 ***************************************** (-c counts changesets rather than diff lines; -s sorts by aggregation key rather than resultcount; -f aggredates on an strftime-like dateformat)
- jarofgreen 15y ago
  Cool, never used hg, thanks. Git might have a module; I've never seen it if it does. However, having it separate to git means we can pull in other data to build up a complete picture of the users activity - the comments made in an issue tracker for instance.

thenduks 15y ago

Maybe I'm missing something about the desired data, but why not just do something like: git shortlog -s | grep "My Name" This shows how many commits you've made on a repo. Omit the grep to see everyone's counts.

jarofgreen 15y ago
But then it's just a list of dates and its hard to see any patterns - that was my motivation ... I wanted graphs, iCal data you can put on a calendar and so on.
- thenduks 15y ago
  A list of dates? Using my command I showed above I get the following output: 2791 Ryan Funduk Still, yea, if you want data you could put on a calendar then I would instead suggest `git log` with `pretty-format` which you could then parse pretty easily. Docs: http://www.kernel.org/pub/software/scm/git/docs/git-log.html http://www.kernel.org/pub/software/scm/git/docs/git-log.html Eg, here's a command that will output a csv with the commit sha, message, unix timestamp and committer name: git log --pretty=format:'"%h", "%s", "%at", "%an"' | grep "Your Name"
  - jarofgreen 15y ago
    Ahh, sorry, I wasn't familiar with the shortlog command. I still want to be able to pick out patterns in the data tho. Getting the data out is only half the battle, then you have to be able to pick out something interesting in it. If you see my other comment here, I already wrote some scripts that pulled timestamps into iCal files and graphs.
stravid 15y ago
That's a perfectly fine solution, but not exactly what I want. With this solution I would have to keep a list of repositories up to date. And in order to update my data I would always need to clone every repository, run the command and put all numbers together. I like automation, so I looked for a different solution.

orta 15y ago

The question is how does he get all the data? I have a bash function that does a git commit, and sends off the message / repo name to a webserver that provides a reasonable interface for it. http://cl.ly/3u3w1h3x2e1P1L3d0g31 http://cl.ly/3u3w1h3x2e1P1L3d0g31

amujumdar 15y ago

You could use Ohloh. As an example, here is one of stravid's projects on Ohloh - https://www.ohloh.net/p/stravids_mapgenerator https://www.ohloh.net/p/stravids_mapgenerator

znq 15y ago

If you don't mind having your statistics in public, have a look at Masterbranch http://www.masterbranch.com/ http://www.masterbranch.com/ It also serves very well as a CV for programmers.

xbryanx 15y ago

I love this collection of Python scripts to provide Git stats for my projects. Appropriately named http://gitstats.sourceforge.net/ http://gitstats.sourceforge.net/