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SPECIFICTION
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Atmos vs UI Palette Generator

Atmos

atmos.style

UI Palette Generator

mgifford.github.io

Side by side

FigureAtmosUI Palette Generator
Price from——
Free plan——
Free trialYes—
Open source——
WebYesYes
Self-hosted—Yes
Plans published20
Spec score · Color Palette Generators7.9 (#8)6.5 (#32)
HostingThe site says Atmos is built and hosted in the European Union.The repository says the static site works on GitHub Pages or any static web server and can be deployed by copying the docs folder to a host.
PurposeAtmos is a color palette tool built with UI designers in mind.The tool generates accessible UI color palettes designed to work in light and dark modes.
SupportAtmos offers product support by email and a Slack community, and says it provides demos and onboarding support.The project asks users to report issues or contribute improvements on GitHub.

Plans

Atmos

  • LifetimePrice not published
  • ProPrice not published

Atmos pricing →

UI Palette Generator

No plans published.

UI Palette Generator pricing →

In their own words

Atmos

Atmos is a color-palette tool for UI designers, offered as a web app and extension. It includes a color generator, wheel, shade generator and playground for creating and refining palettes. The playground supports LCH and OKLCH color spaces with sRGB and Display P3 gamut limits. Its contrast checker covers APCA (WCAG 3) and WCAG 2. Users can save palettes, maintain a brand color library, work with print color and share palettes with teammates. Exports include SVG, Figma, CSS, JavaScript, JSON, Tailwind CSS, Style Dictionary, Design Tokens and Raw, with HEX, HSL, RGB, CMYK, LCH and OKLCH values. Atmos provides a Figma plugin; Pro adds palette syncing with Figma. The free plan allows one project, while Pro offers unlimited projects and all features. A 14-day trial needs no credit card but limits exports to SVG. Atmos is made by RBND studio.

Visit atmos.style

UI Palette Generator

UI Palette Generator has no write-up on Specifiction yet; its figures are above.

Visit mgifford.github.io