Lucide vs Jitter
Side-by-side trajectory, velocity, and editorial themes.
Lucide ships icons at a steady clip and retires its deprecated framework packages.
Lucide continues its steady cadence as a community-driven icon library: most releases add or refine individual icons, with periodic framework-package and tooling maintenance. The notable recent move is 1.17.0 removing the deprecated lucide-vue-next, lucide-svelte, and lucide-angular packages, completing the migration to scoped @lucide/* packages. Releases also fold in routine dependency bumps, docs, and build-tooling work.
The library is in mature, incremental mode - expanding icon coverage and tidying its distribution rather than changing direction. The deprecated-package removal and the new meta-json use-case requirement point to tightening contribution standards and a cleaner package surface. Cadence is high and contributor-driven.
Expect the steady stream of icon additions and refinements to continue, with consumers of the old framework packages needing to migrate to the scoped @lucide/* equivalents.
Jitter pairs a deepening motion-design toolset with prompt-built custom effects.
Jitter is building out a credible motion-design platform: reusable components, a glass effect, displacement shaders, an improved pen tool for compound shapes, and quality-of-life work on the timeline and inspector. Alongside the manual toolset, it launched Jitter AI, which generates custom animation effects from a prompt rather than offering a fixed menu of presets. The product reads as a Figma-style design tool that has decided animation and AI are its differentiators.
Two tracks are advancing in parallel. The manual track keeps closing gaps against established design tools — components, shape tooling, export options — while the AI track bets that users would rather describe an effect than hunt for it. Components are explicitly framed as a first step toward workspace-wide reuse, suggesting Jitter is thinking about teams and brand consistency, not just individual creators.
Workspace-level components are openly teased as next, and the AI effect generator is likely to expand — more prompt-driven tools that can be saved, refined and shared across a team.
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