d3VIEW desktop makes submitting, uploading and visualizing data quicker by eliminating the need to connect to the platform via a web browser.
Submit simulations and upload experimental data.
Utilize specialized plugins such as one for HVAC to aid in your data processing.
Sync physical test data so channels from MDF files are aligned with channels from DAT files for smooth publishing.
Add important tags, save to a particular project and apply an extraction template directly while publishing.
Preview layouts, display types, channels and canvas before publishing to d3VIEW.
Choose files to launch via the built-in visualizer and raw data viewer.
Requirements:
– Python 2 environment
– LUCY_e_master_***.INSTALL file
– Lucy.json
– Lucy.yaml
– Working knowledge of a terminal
Some common packages required for certain Desktop features
– omatplotlib (2.2.3)
– okiwisolver (1.0.1)
– opyyaml (3.13)
– ofuture (0.18.2)
– oprivy (6.0.0), numpy (1.15.4)
– opandas (0.24.2)
…
