Data in a sheet,a figure beside it
LabPlot's worksheets, on a Void Linux desktop of your own.Import the column file, fit it, and lay the plot out for print.
$ dxflow workflow create --identity labplot hub://labplot --start --link
Import,fit, then lay out
A spreadsheet, a fitting engine and a worksheet in the one window.
CSV, fixed-width, HDF5, NetCDF and FITS land in a sheet you can edit.
Non-linear fits report parameters and uncertainties, not just a curve.
Axes, insets and annotations arranged for a page, exported to PDF or SVG.
Every defaultis one override away
The session reads its settings from the environment, so you set them on the start line.
$ dxflow workflow start labplot --override env.app.VNC_PASSWORD=something-long
$ dxflow workflow start labplot --override env.app.TASKBAR=show --link
The worksheetfills the screen
Streamed to your browser, with LabPlot already maximized.
Put the datawhere it can find it
LabPlot reads from disk, not from your laptop. Upload first, then import from the volume.
CSV, fixed-width, HDF5, NetCDF and FITS all come off the volume. Upload them before you start hunting in the file dialog.
A small desktop underneath, so the image stays light for something that draws for a living.
The project file and whatever PDF or SVG you export stay under /volume between runs.
Pulled once,then it stays
LabPlot arrives as one image. This is what comes down the first time, and what the disk should have free for it.
What it wants,and what it needs
The definition asks for 2 cores and 4 GB. The image comes up on less than that, and a start given --fit trims the ask to whatever the machine actually has.
Machines that fit it
LabPlot asks for 2 cores and 4 GB. Cheapest first.