What Iconics Library actually does (from store listing)
If you are an app developer you want to know the trouble. You start an app but require many different icons in different sizes (LDPI, mdpi, hdpi, xhdpi, xxhdpi, xxxhdpi), different colors, and different variants. If you get the icons as vector (SVG) or there are many changes over the time, you will always have to get the correct Drawables again.
This Consumes a lot of time!
Now there's an easy, fast, and small solution for this!
The Iconics library.
This library Allows you to include v…
If you are an app developer you want to know the trouble. You start an app but require many different icons in different sizes (LDPI, mdpi, hdpi, xhdpi, xxhdpi, xxxhdpi), different colors, and different variants. If you get the icons as vector (SVG) or there are many changes over the time, you will always have to get the correct Drawables again.
This Consumes a lot of time!
Now there's an easy, fast, and small solution for this!
The Iconics library.
This library Allows you to include vector icons everywhere in your project. No limits are given. Scale with no limit, use any color at any time, Provide a contour, and many additional customizations ...
Use the icons in the variation you need them.
What do you get
- No customization limitations (size, color, contour, background, padding, positioning, ...)
- Shadow support
- One source icon (no more mdpi, hdpi, ...)
- Flexibility
- Size
- Colors
- Contour
- Shadow
- If it takes at Drawable, it therefore wants to work with the IconicsDrawable!
- Save in APK size
Already available fonts
- Material Icons
- FontAwesome
- Material Design Icons
- Meteocons
- Octicons
- Community Material Icons
- Weather Icons
- Type Eicon
- Entypo
- Ionicons
- Foundation Icons
https://github.com/mikepenz/Android-Iconics
Comparable Android apps
The five apps in Libraries & Demo with the closest revenue to Iconics Library. Click any to see its detail page.
Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag.
The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR.
Every number on this page comes from public APIs and GetAppValue's own snapshot history.
Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors.
See also the live data on Iconics Library's tracker page for current rating, reviews and snapshot timeline.
Building something similar? Get a free AI audit with $-revenue forecasts for every recommendation.