brainsteam.co.uk/brainsteam/content/posts/legacy/2016-11-23-timetrack-a-simple-time-tracking-application-for-developers.md

title	author	type	date	url	medium_post	categories	tags
timetrack – a simple time tracking application for developers	James	post	2016-11-23T14:43:58+00:00	/2016/11/23/timetrack-a-simple-time-tracking-application-for-developers/	O:11:"Medium_Post":11:{s:16:"author_image_url";N;s:10:"author_url";N;s:11:"byline_name";N;s:12:"byline_email";N;s:10:"cross_link";s:2:"no";s:2:"id";N;s:21:"follower_notification";s:3:"yes";s:7:"license";s:19:"all-rights-reserved";s:14:"publication_id";s:2:"-1";s:6:"status";s:4:"none";s:3:"url";N;}	Open Source	projects python time-tracking

I’ve written a small command line application for tracking my time on my PhD and other projects. We use Harvest at Filament which is great if you’ve got a huge team and want the complexity (and of course license charges) of an online cloud solution for time tracking.

If, like me, you’re just interested to see how much time you are spending on your different projects and you don’t have any requirement for fancy web interfaces or client billing, then timetrack might be for you. For me personally, I was wondering how much of my week is spent on my PhD as opposed to Filament client work. I know its a fair amount but I want some clear cut numbers.

timetrack is a simple application that allows you to log what time you’ve spent and where from the command line with relative ease. It logs everything to a text file which is relatively easy to read by !machines. However it also provides filtering and reporting functions so that you can see how much time you spend on your projects, how much time you used today and how much of your working day is left.

It’s written in python with minimal dependencies on external libraries (save for progressbar2 which is used for the live tracker). The code is open source and available under an MIT license. Download it from GitHub