Phacility vs Gitcolony | What are the differences?

Overview

Phacility

Stacks1

Followers18

Votes0

Gitcolony

Stacks1

Followers21

Votes0

Gitcolony vs Phacility: What are the differences?

Gitcolony: The next generation of pull requests. Gitcolony encourages developers to share early feedback, do partial reviews, reduce rework and leverage the knowledge of the whole group. Teams become more efficient by adding visibility to the process; Phacility: Phabricator, except you pay for it. Hosted tools to scale your software organization. A hosted version of Phabricator, that you pay for.

Gitcolony and Phacility can be primarily classified as "Code Review" tools.

Some of the features offered by Gitcolony are:

set up and enforce your own custom rules to keep your code quality under control. Gitcolony helps you reinforce your code review policies and best practices your team follows informally
collaborate with your team in real time, performing progressive checks to avoid titanic reviews
encourage software developers with performance rankings and gamification techniques

On the other hand, Phacility provides the following key features:

Review code
Track tasks
Browse source

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Detailed Comparison

Phacility	Gitcolony
A hosted version of Phabricator, that you pay for.	Gitcolony encourages developers to share early feedback, do partial reviews, reduce rework and leverage the knowledge of the whole group. Teams become more efficient by adding visibility to the process.
Review code;Track tasks;Browse source	set up and enforce your own custom rules to keep your code quality under control. Gitcolony helps you reinforce your code review policies and best practices your team follows informally; collaborate with your team in real time, performing progressive checks to avoid titanic reviews; encourage software developers with performance rankings and gamification techniques; integrate QA and development processes to minimize coordination friction between both teams;
Statistics
Stacks 1	Stacks 1
Followers 18	Followers 21
Votes 0	Votes 0
Integrations
No integrations available	Jenkins Slack Git GitHub Enterprise Jira GitHub Bitbucket HipChat

What are some alternatives to Phacility, Gitcolony?

Code Climate

After each Git push, Code Climate analyzes your code for complexity, duplication, and common smells to determine changes in quality and surface technical debt hotspots.

Codacy

Codacy automates code reviews and monitors code quality on every commit and pull request on more than 40 programming languages reporting back the impact of every commit or PR, issues concerning code style, best practices and security.

Phabricator

Phabricator is a collection of open source web applications that help software companies build better software.

PullReview

PullReview helps Ruby and Rails developers to develop new features cleanly, on-time, and with confidence by automatically reviewing their code.

Gerrit Code Review

Gerrit is a self-hosted pre-commit code review tool. It serves as a Git hosting server with option to comment incoming changes. It is highly configurable and extensible with default guarding policies, webhooks, project access control and more.

SonarQube

SonarQube provides an overview of the overall health of your source code and even more importantly, it highlights issues found on new code. With a Quality Gate set on your project, you will simply fix the Leak and start mechanically improving.

RuboCop

RuboCop is a Ruby static code analyzer. Out of the box it will enforce many of the guidelines outlined in the community Ruby Style Guide.

CodeFactor.io

CodeFactor.io automatically and continuously tracks code quality with every GitHub or BitBucket commit and pull request, helping software developers save time in code reviews and efficiently tackle technical debt.

ESLint

A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript. Maintain your code quality with ease.

Amazon CodeGuru

It is a machine learning service for automated code reviews and application performance recommendations. It helps you find the most expensive lines of code that hurt application performance and keep you up all night troubleshooting, then gives you specific recommendations to fix or improve your code.