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- Code Climate Velocity-vs-LinearB
Compare Code Climate Velocity and LinearB 
- Users report that Code Climate Velocity excels in Repository Integration with a score of 8.8, allowing seamless connections to various version control systems, while LinearB, with a score of 9.0, offers even more robust integration capabilities, particularly with GitHub, enhancing collaboration and workflow efficiency.
- Reviewers mention that LinearB shines in Quality of Support, scoring 9.5 compared to Code Climate Velocity's 8.5. Users appreciate LinearB's responsive customer service and extensive documentation, which they find helpful for troubleshooting and onboarding.
- G2 users highlight that Code Climate Velocity's Testing Integration is a weak point, scoring only 5.2, which some reviewers find limiting for teams that rely heavily on automated testing. In contrast, LinearB's score of 7.9 indicates a more favorable experience with testing tools, making it a better choice for development teams focused on CI/CD practices.
- Users on G2 report that both products perform well in Analytics and Trends, but LinearB's score of 9.0 is noted for its advanced analytics features, which provide deeper insights into team performance and project timelines, whereas Code Climate Velocity's score of 8.9 is seen as slightly less comprehensive.
- Reviewers mention that Code Climate Velocity's Impact Predictions feature, scoring 5.6, does not meet expectations, as users find it lacks accuracy in forecasting project outcomes. Conversely, LinearB's score of 8.6 indicates a more reliable predictive capability, which users find beneficial for strategic planning.
- Users say that in terms of Planning Tools, Code Climate Velocity's score of 6.4 falls short compared to LinearB's 8.1. Reviewers appreciate LinearB's intuitive planning features that facilitate better resource allocation and project management, making it a preferred choice for teams looking to enhance their planning processes.
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It is easy to see a measure of team health from a high level as well as individual contributions at a very granular level. The numbers and visuals are easy to understand at a glance.
reporting often errors out when there are many dimensions being applied
The product: - The fact that it analyses our main bus - git, and also integrates with our issue tracking platform. - The custom granularity - we can analyze performance starting from a single contributor, through a team and all the way to the whole...
The data accuracy of the platform is embarrassing. Don't trust the metrics provided. For what is supposed to be a core competency data was regularly missing, incorrect or duplicated. Basic calculations were inaccurate. Support tried hard but was incapable...
It is easy to see a measure of team health from a high level as well as individual contributions at a very granular level. The numbers and visuals are easy to understand at a glance.
The product: - The fact that it analyses our main bus - git, and also integrates with our issue tracking platform. - The custom granularity - we can analyze performance starting from a single contributor, through a team and all the way to the whole...
reporting often errors out when there are many dimensions being applied
The data accuracy of the platform is embarrassing. Don't trust the metrics provided. For what is supposed to be a core competency data was regularly missing, incorrect or duplicated. Basic calculations were inaccurate. Support tried hard but was incapable...
