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Logo of GitHub

GitHub

byGitHub
in
4.6
2025
Market Presence: DevOps Platforms (Transitioning to DevSecOps Platforms), Code Review Tools

Overview

Product Information on GitHub

Updated 5th July 2023

What is GitHub?

GitHub Enterprise is a DevOps platform to build, scale and deliver secure software that includes: - GitHub Repositories and Discussions for collaboration - GitHub Issues & Projects for project planning - GitHub Actions for software workflow automation and CI/CD - GitHub Packages for software package hosting - Security Overview for a centralized view of your organization's security risks - Dependabot alerts for any new vulnerabilities affecting dependencies in your repos - Dependabot security updates that automatically open pull requests to update vulnerable dependencies to secure versions - Dependabot version updates that automatically open pull requests to update out-of-date dependencies - GitHub Security Advisories to privately discuss, fix and publish information about security vulnerabilities found in a repo - Enterprise Managed Users for centralized user account administration Add-ons to GitHub Enterprise include GitHub Copilot, GitHub Advanced Security and GitHub Codespaces.

GitHub Pricing

GitHub Enterprise is $21 per user per month.

GitHub Product Images

GitHub Enterprise demo
GitHub Enterprise demo

Overall experience with GitHub

Software Engineer
250M - 500M USD, Software
FAVORABLE

“Collaborative Code Reviews and Self-Healing Tests Improve Code Framework Efficiency”

4.0
Jan 24, 2026
Honestly, switching our main automation test framework over to GitHub has been a total game changer for my team. I've used a lot of older tools in the past, but nothing matches the reliability and convenience GitHub offers. Sorting all our Java and Selenium test code in one spot means everyone's on the same page and collaboration just happens more smoothly. I'm a big fan of pull requests too, it really streamlines code reviews for our scripts, making it so simple to track feedback and improvements. Plus. Having a clear, well-organized history of every single change brings real peace of mind. If anything ever goes sideways, it is so easy to revert back to a version that we know works. And then there is the Agent, this is not the basic auto complete tool from a year ago. Now, I just ask it to handle tasks like refactoring page objects or generating new test suites for specific cases, and it coordinates updates across various files. When running in agent mode, it even takes things a step further by executing the tests in the terminal. And if something fails, it tries to troubleshoot and sort it out on its own until everything passes. That level of self-healing really does feel like having an extra set of hands on the team If I'm dealing with a flaky test or a weird timeout in my REST Assured code, I just tag the agent. It digs into the logs to find out what went wrong and actually points out possible fixes. There was even a time last month when it noticed a race condition in our framework that I'd probably have spent hours, maybe even a whole day trying to isolate on my own. The amount of time it saves me, both in writing and debugging scripts, has made this the MVP in our current toolset.
MANAGER, IT SECURITY AND RISK MANAGEMENT
50M - 250M USD, Miscellaneous
CRITICAL

“Simple Implementation and GitHub Compatibility Offset by Reporting Limitations”

3.0
Oct 19, 2025
Its not the high end tool in this category but its better to have nothing. Lack indepth reporting features

Badges

Gartner Peer Insights recognizes vendors who meet or exceed both the market average Overall Experience and the market average User Interest and Adoption score through a Customers’ Choice distinction.
2025
For Market:
DevOps Platforms (Transitioning to DevSecOps Platforms)

About Company

Company Description

Updated 14th January 2025

GitHub is a platform where developers, businesses, and organizations collaborate to create and innovate. Offering tools for version control, CI/CD, security, and code review, GitHub helps teams build software efficiently and securely. With GitHub Copilot, developers can leverage AI to receive real-time coding assistance, streamlining their workflows and enabling them to focus on solving complex challenges. The platform supports a wide range of projects, from open source to enterprise, while integrating seamlessly into development processes to foster collaboration and security. As part of Microsoft, GitHub is committed to empowering developers and organizations to bring their ideas to life, working toward the goal of supporting 1 billion developers worldwide.

Company Details

Updated 26th February 2025
Company type
Public
Year Founded
2008
Head office location
San Francisco, United States
Number of employees
2500 - 4999
Annual Revenue
1B-3B USD
Website
https://github.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

User Sentiment About GitHub
Reviewer Insights for: GitHub
Deciding Factors: GitHub Vs. Market Average
Performance of GitHub Across Market Features

GitHub Likes & Dislikes

Like

Having all our Java and Selenium scripts stored in such a well organized, dependable environment has really made my day to day work a lot smoother. I especially like how the pull requests make it straightforward for my teammates to look over any updates I make and spot issues before anything gets merged to main. The agent is not just there to help with writing lines of code anymore, it really feels like I have an extra set of hands in the process. I can ask it to update several page objects at once or create a whole new test suite for a fresh scenario and it takes care of everything, even if that involves changing multiple files. If I run into a test failure, I can tell agent to handle it right there in the terminal, and it'll keep trying out solutions on its own until things work. I no longer have to spend ages doing all those tedious set-up and maintenance tasks I used to dread. I've also noticed a big improvement when it comes to debugging. When a stubborn test keeps failing, agent often spots those sneaky little mistakes I might miss myself, like a single-character typo in a JSON path. Thanks to this, my testing cycle is a lot smoother and tackling complex scripts doesn't feel overwhelming anymore. Honestly, I'd find it difficult to go back to coding without this kind of help.

Like

It was simple to implement, fairly easy to negotiate with the vendor, pair well if you have GitHub already

Like

The tight integration into the developer workflow, making security a natural part of the process rather than a chore, is the standout element. If you have GitHub Copilot licensing too (which we do) then the automated remediation of issues is the knockout punch, compared to other services it doesn't just tell a developer there is an issue and give generic examples of fixes, it gives them the fix within the code itself which they can commit with the click of a button.

Dislike

The things I dislike about this product are very minor and not a dealbreaker. Honestly, I struggle to find anything major to complain about because the tool is just so good for our automation work. If I had to pick something, it would probably be how the copilot agent can sometimes be a little bit too eager and gets exited to suggest changes. Occasionally it tries to refactor a piece of code that I want to keep exactly as it is and I have to go back and undo its suggestions which can be a tiny bit annoying. Another small thing is that, once in a while, the agent gets a bit confused with our very specific custom libraries in the framework. Since it is trained on so much public code it sometimes defaults to standard selenium ways of doing things instead of using the custom wrappers we have built in our java project. But again it is such a small issue compared to how much time it saves me every single day.

Dislike

It requires licenses fr every user who has performed a commit in the past 90 days in order to use the tool. Reporting is not that adavanced, IT gives the criticality on the findings but not the urgency.

Dislike

For some codebases, the configuration/setup wasn't as simple as the sales pitch might suggest (for example, it can struggle with private package feeds), but the onboarding support was very good, with the experts responding to queries quickly and knowledgeably.

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Peer Discussions

What Your Peers Are Saying About GitHub

VP of Product Management
Based on many peer discussions, seemed like GitHub Co-pilot was really the only true AI product teams were using internally. Any other tools people are finding value with on internal side?
Senior Vice President, Engineering
Other than GitHub Copilot, we have seen developers using Tabnine and Codeium very often with a lot of success. If you are an IntelliJ fan, do check out their custom AI available in their tools like Rover and Fleet.  ChatGPT has been a revolution and probably is as good as any other option available today. Feel free to checkout these tools though.
See Full Discussion
16 Nov 20234.4k Views8 Comments
IT Manager
Has anyone had any success with evaluating the impact of using Generative AI tools such as GitHub's Copilot on the productivity or performance impact on developers? I see a lot of qualitative discussions about how developers say they are more productive, but how are you measuring that impact?
Chief of DevOps and Partner
Here is a link to a study where they recruited 95 professional developers, split them randomly into two groups, and timed how long it took them to write an HTTP server in JavaScript. Research: quantifying GitHub Copilot’s impact on developer productivity and happiness - The GitHub Blog Result:  The group that used GitHub Copilot had a higher rate of completing the task (78%, compared to 70% in the group without Copilot). The striking difference was that developers who used GitHub Copilot completed the task significantly faster–55% faster than the developers who didn’t use GitHub Copilot. Specifically, the developers using GitHub Copilot took on average 1 hour and 11 minutes to complete the task, while the developers who didn’t use GitHub Copilot took on average 2 hours and 41 minutes. These results are statistically significant (P=.0017) and the 95% confidence interval for the percentage speed gain is [21%, 89%].
See Full Discussion
11 Jul 202543.6k Views16 Comments

GitHub Reviews and Ratings

4.6

(761 Ratings)

Rating Distribution

5 Star
57%
4 Star
41%
3 Star
2%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.5

Integration & Deployment

4.6

Service & Support

4.5

Product Capabilities

4.6

Filter Reviews
Sort By:
Most helpful
Last 12 Months
Star Rating
Reviewer Type
Reviewer's Company Size
Reviewer's Industry
Reviewer's Region
Reviewer's Job Function
  • Software Engineer
    50M-1B USD
    Software
    Review Source

    Collaborative Code Reviews and Self-Healing Tests Improve Code Framework Efficiency

    4.0
    Jan 24, 2026
    Honestly, switching our main automation test framework over to GitHub has been a total game changer for my team. I've used a lot of older tools in the past, but nothing matches the reliability and convenience GitHub offers. Sorting all our Java and Selenium test code in one spot means everyone's on the same page and collaboration just happens more smoothly. I'm a big fan of pull requests too, it really streamlines code reviews for our scripts, making it so simple to track feedback and improvements. Plus. Having a clear, well-organized history of every single change brings real peace of mind. If anything ever goes sideways, it is so easy to revert back to a version that we know works. And then there is the Agent, this is not the basic auto complete tool from a year ago. Now, I just ask it to handle tasks like refactoring page objects or generating new test suites for specific cases, and it coordinates updates across various files. When running in agent mode, it even takes things a step further by executing the tests in the terminal. And if something fails, it tries to troubleshoot and sort it out on its own until everything passes. That level of self-healing really does feel like having an extra set of hands on the team If I'm dealing with a flaky test or a weird timeout in my REST Assured code, I just tag the agent. It digs into the logs to find out what went wrong and actually points out possible fixes. There was even a time last month when it noticed a race condition in our framework that I'd probably have spent hours, maybe even a whole day trying to isolate on my own. The amount of time it saves me, both in writing and debugging scripts, has made this the MVP in our current toolset.
  • Software Development Manager
    50M-1B USD
    Software
    Review Source

    Integration of Security into Developer Workflow Reduces Friction and Streamlines Fixes

    5.0
    Jan 26, 2026
    Our move to GitHub Advanced Security was a fundamental shift in our DevSecOps tooling. Unlike previous tools that felt like external auditors shouting from the sidelines, GHAS lives where our developers live. By embedding that directly into their daily workflow, we've moved from merely identifying security issues to resolving them. Whilst not as feature rich in some areas compared to alternative products and of course accepting that the setup across large collections of repos in different states of upkeep isn't always as simple as the sales pitch suggests; the gains in developer adoption/efficiency in solving issues have been worth the effort.
  • ASSOCIATE DATA ENGINEER
    50M-1B USD
    IT Services
    Review Source

    Github Enables Structured Version Control and Enhances Collaborative Coding Environment

    5.0
    Dec 18, 2025
    My overall experience with GitHub has been very highly positive and impactful for team and individual collaboration. It provides a well structured platform for version control that makes tracking changes, maintaining codebases, repos and history. GitHub plays a huge role in contributing to various projects as a team, pull requests and code reviews are one of the greatest features in GitHub while contributing as a team encourages better code quality and collaboration. It also has built in tools like project boards and issues in repos to keep track of any issues or bugs. It also has integrations with CI/CD pipelines, cloud services and 3rd party services. Overall, it helps in testing, deployments and checks. There are also security features such as vulnerability alerts and branch protection which are significant when working on production repos.
  • Director Of Engineering
    50M-1B USD
    Media
    Review Source

    AI Integration Eases Routine Tasks But Occasionally Misaligns With Coding Standards

    4.0
    Jan 12, 2026
    Github has been our standard for hosting code, but adding Copilot to our review workflow has been a notable shift. It's great for catching the 'low-hanging fruit' like syntax slips and generating quick summaries for long pull requests, which saves me a lot of mental energy. While I appreciate the one-click fixes and the autofill features for PR descriptions, I still have to keep a close eye on it because it occasionally suggests code that doesn't align with our specific project style. It's a solid 4 star tool that has definitely sped up our development cycle.
  • SENIOR ASSOCIATE
    50M-1B USD
    Banking
    Review Source

    Streamlining Data Engineering Projects Through Github Integrations and Workflow Automation

    4.0
    Dec 9, 2025
    I appreciate Github's integration with tools like terraform and docker which makes managing complex data engineering projects far more organized. The UI is clean, search works well and the platform handles everything from development management to deployment with minimal friction. Overall, Github is a robust, dependable ecosystem that supports both individual productivity and team collaboration.
...
Showing Result 1-5 of 767

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