Code Climate Velocity Alternatives

Name: Review of GitView
Item: GitView
Rating: 4.9
Author: Verified Reviewer

Developer Productivity Insight Platforms

Considering alternatives to Code Climate Velocity? See what this market Code Climate Velocity users also considered in their purchasing decision. When evaluating different solutions, potential buyers compare competencies in categories such as evaluation and contracting, integration and deployment, service and support, and specific product capabilities.

Check out real reviews verified by Gartner to see how Code Climate Velocity compares to its competitors and find the best software or service for your organization.

Reviewed in Last 12 Months

How Alternatives Are Selected

1. DX

By Atlassian

4.7

(75 Ratings)

I like DX survey as it is an opportunity for people to remember and provide information about their pain points. It is also an excellent tool to provide feedback to stakeholders about engineering quality progress. I enjoy as a team member because we see what is the most important point to address. As a DevEx member, I enjoy being able to use statistics to argue what and why we need to improve for stakeholders. We also use DX Catalog, which I find especially easy to configure. With proper design solutions, it's easy for administrators to look after. While there are some areas that lack out of the box graphs/charts, the AI supported SQL allows to easily create custom dashboards. I enjoy as DevEx team member because it provides support for our initiatives (scorecard) and as an engineer because it provides easily accessible information about the teams.

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2. Jellyfish Platform

By Jellyfish

4.6

(69 Ratings)

Jellyfish is a powerful tool for consuming data from Jira, Github, Bitbucket, etc. and translating it into metrics that my dev teams and I can use to measure and manage productivity. They recently added a feature to measure "AI Impact" that has been very useful for us. We also use it to capture and track software capitalization for our Finance team. The toolset is complex, but Jellyfish provides a lot of support, training materials, etc. and are very responsive. We have a very active relationship with our account manager. We have been using Jellyfish for several years.

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3. GitLab

By GitLab

4.5

(56 Ratings)

GitLab has worked well for us as the main place for code reviews, CI, and test reporting, which matters when automation is a first class citizen and not an afterthought. The main value has been shortening the loop from pushing a change to knowing if our API, UI, and regression test suite are green, especially once runners, caching, and job parallelization were set up cleanly.

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Where Code Climate Velocity Scored Higher

Better at service and support

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4. Typo

By Typo

4.7

(18 Ratings)

The platform delivers strong engineering analytics and real-time SDLC visibility with meaningful AI-driven insights. Setup and integration appear straightforward and onboarding is fast. Some advanced features could be clearer in the documentation.

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5. Swarmia

By Swarmia

4.7

(15 Ratings)

The product has helped me focus in on areas of slippage and wasted effort within the team. I've increased our overall velocity by giving the team the feedback we were missing to show our development profile/efficacy.

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6. Athenian

By Athenian

4.2

(15 Ratings)

Great functionality and a really smooth esign integration.

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Where Code Climate Velocity Scored Higher

Better at service and support
Easier to integrate and deploy

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7. Allstacks Platform

By allstacks

4.4

(14 Ratings)

The Technical Account Managers that I have had from Allstacks have really shown a commitment to being strategic partners, seeking to understand our goals and how the tool can help achieve them while also informing us on other best practices that we could benefit from. Allstacks Leadership has also been willing to engage with us on future product direction.

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Where Code Climate Velocity Scored Higher

Better at service and support
Easier to integrate and deploy

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8. Linearb

By Linearb

4.2

(4 Ratings)

Our experience with LinearB has been very positive. It adds real visibility into our engineering processes and helps us make data-driven decisions across teams

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