Scalabale bundle analysis and monitoring for
projects and teams of any size
For developers and small teams
Always free for open source organizations
For growing teams and medium/large projects
No credit card required
Custom needs for large teams
scalar.com
@scalar
@Relative_CI has made us substantially more conscious on bundle size monitoring/analysis every day we love their service!✨
Jacky Efendi
@jackyef__
@Relative_CI is pretty cool. It just helped me discover and fix duplicate packages on my site.
It was caused by differently resolved transitive dependencies by radix-ui/* packages
Rspack
@rspack_dev
@Relative_CI and @rspack_dev is really a great combo, Fast bundle analysis and monitoring in CI is a must need for long-term projects.
Leonardo Faria
@leozera
A tool that I really like is @Relative_CI, already in 3 codebases here and it helps a lot analyzing the impact of a dependency in your bundle size
In this screenshot (educational PR), adding moment().format() increases the bundle size in 7%. Good for code review suggestions
Tom Moor
@tommoor
https://relative-ci.com I’m a big fan, simple and has saved big size regressions on more than one occasion
Julian Perelli
CTO
RelativeCI helped us detect big size bundles before they reach production. It removes the stress of forgetting an important check that we used to do manually.