didit

Software Screenshot:
didit
Software Details:
Version: 0.2.0
Upload Date: 12 May 15
Developer: Ralph Bean
Distribution Type: Freeware
Downloads: 20

Rating: nan/5 (Total Votes: 0)

didit is a lightweight, command-line utility to remember what you did last week.

Developer comments

The Problem

- Timeclocks are too cumbersome -- just keep track of the things I did.

In my job, I tend to do a lot of development which involves losing track of time and getting lost in other peoples' code.

I also happen to do user support which involves reacting to received emails, phone calls, and disturbances I notice on our systems.

Every two weeks, I have to report on "what I've been doing for the past two weeks" and tend to forget everything of importance (who I helped which actually translates to who owes us something) and only remember all the things that are really important to me -- my code.

All the time tracking tools I investigated (including the online ones and even the command line ones (this one was the coolest)) were too cumbersome. I didn't want to keep track of exactly how much time I spent doing X, Y, and Z, I didn't want to remember to punch in and out of my own workspace. Thus, I wrote didit one afternoon.

There are too many tools like this out there. This one isn't a game-changer, but its about as simple as can be.

I hope you like it.

Installation:

% sudo pip install diddit

Usage:

% didit-remember -c work -m 'Wrote `diddit`. Thank god.'
% didit-remember --message 'Helped L. User parallelize his ``Mathematica`` code.'
% didit-remember -c personal # thisweek.rst && rst2pdf thisweek.rst


Get the source

...from my github account and make it better!

Features:

  • Simple, CLI, and doesn't impose timeclock behavior on your otherwise flexible self.
  • Respects .rst markup just like pypi and python.
  • Will look for an $EDITOR environment variable when it needs one.
  • Keeps its database(s) in python shelve files in a ~/.didit/ folder making it easy to reference your done-deals from other python code should you want to.

Requirements:

  • Python

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