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RIS citation export for WEDPR01: Cumbia: Graphical Libraries and Formula Plugin to Combine and Display Data from Tango, EPICS and More

TY  - CONF
AU  - Strangolino, G.
ED  - White, Karen S.
ED  - Brown, Kevin A.
ED  - Dyer, Philip S.
ED  - Schaa, Volker RW
TI  - Cumbia: Graphical Libraries and Formula Plugin to Combine and Display Data from Tango, EPICS and More
J2  - Proc. of ICALEPCS2019, New York, NY, USA, 05-11 October 2019
CY  - New York, NY, USA
T2  - International Conference on Accelerator and Large Experimental Physics Control Systems
T3  - 17
LA  - english
AB  - Cumbia libraries offer the next generation core (C++) and graphical (Qt) software to write complete and lightweight applications that provide a unified user interface, regardless of the underlying engine (Tango, EPICS, WebSocket, …) With the new formula plugin, results can be manipulated and combined by JavaScript functions and displayed in the appropriate widget. Qt has a deep JavaScript integration that allows efficient introduction of program logic into the application. Using the Qt + QML technologies, apps can be designed for the desktop and mobile devices. Switching between the two targets is an immediate operation. A WebSocket based service* has been used to test Qt + QML mobile applications on portable devices. It makes it possible to connect to Tango and EPICS without their installation. A new tool called "la-cumparsita" lets non-programmers use the Qt designer to realize complete applications ready to communicate with the control system in use: Tango, EPICS or any other abstraction framework (e.g. WebSocket). These apps seamlessly integrate with the desktop. Most demanding users can integrate JavaScript functions and use them as data sources for the GUI elements.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 971
EP  - 975
KW  - TANGO
KW  - controls
KW  - EPICS
KW  - interface
KW  - framework
DA  - 2020/08
PY  - 2020
SN  - 2226-0358
SN  - 978-3-95450-209-7
DO  - doi:10.18429/JACoW-ICALEPCS2019-WEDPR01
UR  - https://jacow.org/icalepcs2019/papers/wedpr01.pdf
ER  -