
CodeFactor.io
Codacy
CodeClimate
SonarQube
SensioLabs Insight
Source-Navigator NG
ESLint
Source Insight
Cattr
Toggl
Clockify
ManicTime
RescueTime
TopTracker
Time Doctor
timeBuzzer
CodeFactor.ioBased on our record, Cattr seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Cattr is a self-hosted time tracker. Helpful if you find yourself on multiple devices, even if you are the only one using it. Source: over 3 years ago
Cattr, Youtrack, Activity watch - this is my search for an application to manage my projects and track the time spent on them. The closest thing to the ideal is the online service Trackabi. Youtrack is too fancy, more like Jira. Cattr does not know how to track active applications and project management is very simple. Activity watch is good at keeping track of active windows, but it needs a bundle with... Source: over 5 years ago
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
Toggl - Toggl is an online time tracking tool. It features 1-click time tracking and helps you see where your time goes. Free and paid versions are available.
CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.
Clockify - Simple and free time tracker. Perfect for small and mid-sized businesses as well as freelancers. Unlimited projects and users, unlimited productivity. Get all the premium functionalities, completely free.
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
ManicTime - Track your computer usage and use collected data to accurately tag time.