Contact person: Business Client

Phone:Show

Email:Show

Location: Mumbai, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I need a small desktop GUI that lets me explore gridded data stored in a .dfsu file. I will provide python libraries to do input output operations with dfsu files. When the application starts I should be able to load any .dfsu I point to, pick a date-time from the file’s time series, and then click anywhere on an interactive map pane. As soon as I click, the program should read the underlying latitude-longitude of that pixel, query the .dfsu for the chosen time step, and show the resulting value (or values) in a compact read-out panel.

Beside single-point queries, I also want a “full map” button that renders the entire field for the selected time on the same map—think of it as a quick contour or heat-map overlay that updates whenever I move the time slider. Zooming and panning must stay smooth while the overlay is visible so I can inspect details.

The coordinate input should rely on mouse clicks, but keeping an optional manual lat-lon box in the corner would be a plus. No need for 3-D or static views; the focus is a responsive, interactive map powered by something like Leaflet, OpenLayers, or a similar toolkit that plays nicely with Python (PyQt, Tkinter, or a lightweight Electron/JS front end—your choice, as long as setup remains straightforward).

Deliverables
• Full source code with clear comments
• A ready-to-run build (Windows executable or cross-platform package)
• A short README showing how to point the program at any .dfsu file and outlining dependencies

Acceptance criteria
The GUI successfully loads a sample .dfsu I supply, returns the correct value for at least three test coordinates and times, and renders a full-map field within five seconds on a standard laptop." (client-provided description)