By Geertjan-Oracle on Apr 14, 2013
The software specializes in data products and formats that are typically associated with NASA Missions. Slipstream is under development by Aerospace Industry contractor ai Solutions and is built off Polaris, which is their NetBeans Platform framework.
Polaris Slipstream Sequence And Execution:
Polaris Slipstream Les Miserable Fused With Napoleon Info JDK8 WebSockets:
Polaris Slipstream Dataflow Builder:
Polaris Slipstream Embedding JavaFX Charts:
What Does the Software Do?
Slipstream has been designed to reuse existing NASA mission and Polaris plugins for data production and visualization. The interface is a Node Graph workflow that leverages the NetBeans Platform Visual Library for scene rendering and a custom dependency and execution model. The goal is for non-programmer analysts to model, explore, and share their data analysis both visually and functionally. Palettes of data components and processes are made available to the user with the intent to separate different Mission components into their own sub-palettes.
Currently, experimental visualization is possible through a subset of JavaFX charts and D3 JS data visualizations. This is being expanded as new types of views become relevant to existing workflows and future support will include more JavaFX chart components and WorldWind.
How Does the NetBeans Platform Help?
The NetBeans Platform makes this all possible by providing the Visual Library within a rich window docking framework. The NetBeans Platform Lookup makes combined mission palettes possible. The same Lookup also makes drag and drop from palette to scene, and eventually straight from custom project data nodes, simple.
Integrated support for JavaFX interop provides all the visualization capabilities, such as JavaFX line and area charts. This is especially true in that custom plugins provide early developer builds of JDK 8, which are used for embedded web visualizations. Recent builds of JDK 8 also include enhanced JavaFX WebKit support, which enable HTTP WebSockets, making remote collaboration feasible directly within the scene.
All the info and text above was provided by Sean Phillips (@SeanMiPhillips), who is a Software Engineer and NASA contractor with aerospace experts ai Solutions.