controlsfx VS TilesFX

Compare controlsfx vs TilesFX and see what are their differences.

controlsfx

High quality UI controls to complement the core JavaFX distribution (by controlsfx)

TilesFX

A JavaFX library containing tiles that can be used for dashboards. (by HanSolo)
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controlsfx TilesFX
8 2
1,497 1,383
1.9% -
5.8 0.0
30 days ago 5 months ago
Java Java
BSD 3-clause "New" or "Revised" License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

controlsfx

Posts with mentions or reviews of controlsfx. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-23.

TilesFX

Posts with mentions or reviews of TilesFX. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-24.

What are some alternatives?

When comparing controlsfx and TilesFX you can also consider the following projects:

JFoenix - JavaFX Material Design Library

charts - A JavaFX library that contains different kind of charts

jfx - JavaFX mainline development

LogicNG - The Next Generation Logic Library

FXGL - Java / JavaFX / Kotlin Game Library (Engine)

XChart - XChart is a light-weight Java library for plotting data.

scalaonandroid - A tutorial and examples of how to write Android apps in Scala 2.13 and Scala 3.

medusa - A JavaFX library for Gauges

Recaf - The modern Java bytecode editor

javafxsvg

ChartFx - A scientific charting library focused on performance optimised real-time data visualisation at 25 Hz update rates for data sets with a few 10 thousand up to 5 million data points.