WakaTime weekly metrics on your profile readme.

💬 Forum | GitHub discussions

Nope? Skip to prep work.

WakaTime gives you an idea of the time you spent on coding. This helps you boost your productivity and competitive edge.

1. Head over to https://wakatime.com/ and create an account.
2. After logging in get your WakaTime API Key from https://wakatime.com/api-key/.
3. Install WakaTime plugin in your favorite editor / IDE.
4. Paste in your API key to start telemetry.

ℹ️ Info | You can read WakaTime help to know more about configurations. Alternatively, you can also fetch data from WakaTime compatible services like Wakapi or Hakatime.

A GitHub repository and a README.md file is required. We'll be making use of readme in the profile repository.

• Save the README.md file after copy-pasting the following special comments. Your dev-metics will show up in between.

  <!--START_SECTION:waka-->
  <!--END_SECTION:waka-->

  <!--START_SECTION: --> and <!--END_SECTION: --> are placeholders and must be retained as is. Whereas "waka" can be replaced by any alphanumeric string. See #Tweaks section for more.

• Navigate to your repo's Settings > Secrets and add a new secret named WAKATIME_API_KEY with your API key as it's value.

  Or use the url https://github.com/USERNAME/USERNAME/settings/secrets/actions/new by replacing the USERNAME with your own username.

  

  • If you're not using profile repository, add another secret named GH_TOKEN and insert your GitHub token* in place of value.

• Create a new workflow file (waka-readme.yml) inside .github/workflows/ folder of your repository. You can create it from a template using the actions tab of your repository too.

• Clear any existing contents, add the following lines and save the waka-readme.yml workflow file.

  name: Waka Readme
  
  on:
    workflow_dispatch: # for manual workflow trigger
    schedule:
      - cron: "0 0 * * *" # runs at every 12AM UTC
  
  jobs:
    update-readme:
      name: WakaReadme DevMetrics
      runs-on: ubuntu-latest
      steps:
        - uses: athul/waka-readme@master
          with:
            WAKATIME_API_KEY: ${{ secrets.WAKATIME_API_KEY }}
            # following flags are required, only if this is not on
            # profile readme, remove the leading `#` to use them
            #GH_TOKEN: ${{ secrets.GH_TOKEN }}
            #REPOSITORY: <gh_username/gh_username>

  Refer #Example section for a full blown workflow file.

There are many flags that you can tweak as you wish!

All of these flags are optional.

waka-readme.yml

name: Waka Readme

on:
  workflow_dispatch:
  schedule:
    # Runs at 12am UTC
    - cron: "0 0 * * *"

jobs:
  update-readme:
    name: WakaReadme DevMetrics
    runs-on: ubuntu-latest
    steps:
      - uses: athul/waka-readme@master
        with:
          GH_TOKEN: ${{ secrets.GH_TOKEN }}
          WAKATIME_API_KEY: ${{ secrets.WAKATIME_API_KEY }}
          # meta
          API_BASE_URL: https://wakatime.com/api
          REPOSITORY: athul/athul
          # content
          SHOW_TITLE: true
          SECTION_NAME: waka
          BLOCKS: ->
          CODE_LANG: all_time 
          TIME_RANGE: true
          LANG_COUNT: 10
          SHOW_TIME: true
          SHOW_TOTAL: true
          SHOW_MASKED_TIME: false
          STOP_AT_OTHER: true
          # commit
          COMMIT_MESSAGE: Updated waka-readme graph with new metrics
          TARGET_BRANCH: master
          TARGET_PATH: README.md
          COMMITTER_NAME: GitHubActionBot
          COMMITTER_EMAIL: action-bot@github.org
          AUTHOR_NAME: Athul
          AUTHOR_EMAIL: athul@example.org
          # you can populate email-id with secretes instead

Note:

• Flags REPOSITORY and GH_TOKEN are required, ONLY if you're NOT using profile readme.
• WAKATIME_API_KEY is a required secret.
• Every other environment variables is optional.
• The above example does not show proper default values, refer #Tweaks for the same.

README.md

From: 10 July 2020 - To: 06 August 2022

Total Time: 1,464 hrs 54 mins

Python             859 hrs 29 mins >>>>>>>>>>>>>>-----------   54.68 %
Markdown           132 hrs 33 mins >>-----------------------   08.43 %
TeX                103 hrs 52 mins >>-----------------------   06.61 %
HTML               94 hrs 48 mins  >>-----------------------   06.03 %
Nim                64 hrs 31 mins  >------------------------   04.11 %
Other              47 hrs 58 mins  >------------------------   03.05 %

I am a fan of minimal designs and the profile readme is a great way to show off your skills and interests. The WakaTime API, gets us a lot of data about a person's coding activity including the editors and Operating Systems you used and the projects you worked on. Some of these projects maybe secretive and should not be shown out to the public. Using up more data via the Wakatime API will clutter the profile readme and hinder your chances on displaying what you provide value to the community like the pinned Repositories. I believe that Coding Stats is nerdiest of all since you can tell the community that you are exercising these languages or learning a new language, this will also show that you spend some amount of time to learn and exercise your development skills. That's what matters in the end ❤️