Visit devradar.io for an introduction
This repository holds the Web Application for the devradar editor. An online editor to create your own personal techradar - for individuals and teams. The devradar editor provides a GUI to manage blips (items on the radar e.g. C++, SCRUM). Instead of assigning a static level of expertise for a given blip the devradar uses an iterative approach, where you define changes to a blip by providing a date, new level and reasoning how your expertise changed.
- customize adoption levels
- define quadrant categories
- create radar blips via GUI
- keep track of blip adoption
- full privacy - all data is stored locally in the browser
- import/export your devradar via human-readable
- share your devradar via URL
- host your own devradar editor on premise with docker
You can customize the meta properties of the devradar by going to the settings screen at editor.devradar.io/#/settings.
Use a personal devradar to keep track of your skills. This can be helpful tool to be aware of your own portfolio or also use it as part of your CV like I do (radar.anoff.io).
For creating your personal devradar the NIH proficiency scale may be a good reference. The upper four categories of this scale are the defaults when you create a new devradar.
[meta] title = "Rick's Radar" categories = [ "Tools", "Techniques", "Platforms", "Frameworks" ] levels = [ "Novice", "Intermediate", "Advanced", "Expert" ]
devradar for teams and organizations
It often makes sense to track technology that is used within an organization or a team. Depending on the scope you may want to fiddle with the blip categories and the abstraction level of blips you enter. The classic Thoughtworks categories make a good start if you want to create a devradar with a broad scope.
[meta] title = "ACME devradar" categories = [ "Tools", "Techniques", "Platforms", "Frameworks" ] levels = [ "Hold", "Assess", "Trial", "Adopt" ]
You can also use the devradar for non-tech related things:
See setup.md for instructions on the different setup options.
The devradar itself is build with Vue.js. For easier deployment the editor comes pre-built as a docker image anoff/devradar-editor. For the docker image nginx-alpine is used as a base image which brings the final image size to < 15MB.