Search Results for "java swing calendar" - Page 3
Sort By:
Showing 57 open source projects for "java swing calendar"
View related business solutions-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
1
-
2
3d visualization of USGS Digital Elevation Models (DEM). Support for stereo visualization. Written in Java and Java3D
-
3
A tool for decoding and presenting Geotechnical Sounding data (such as CPTu). Formats supported are the SGF standard as defined by the Swedish Geotechnical Society (www.sgf.net), and used by a number of commercial products, aswell as Generic text
-
4
GeoWidgets is a set of reusable UI widgets for geographic applications (GIS), such as referencing dialogs, legends, styling widgets or map panes. The project is based on GeoTools (in Java) and supports several GUI toolkits (e.g Swing, SWT). Note that, while functional, this library is not developed any further.
-
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
-
5
BioGeoTools is a Java based package that is aimed at providing a program and libraries for biogeorgaphy analyses.
-
6
Experimental utilities in Java for geographic information and remote sensing in environmental science. Seagis is build on top of Geotools 2, which is an OpenGIS implementation. Some Seagis classes may move to Geotools 2 when (and if) they become mature e
-
7
This tool helps users for placing sensor nodes on smart highways and collecting data from the nodes. It optimizes the placement of sensor nodes on road, a critical issue that affects both the cost and detection capability of a sensor network.