Browse, plot, and compare MITgcm MDS binary output from the CLI or an optional GUI.
Project description
Browse, plot, and compare MITgcm MDS (.data/.meta) binary output. Use the CLI on a cluster or the optional GUI on your laptop or PC.
Site: rhettadam.github.io/mdsview
MITgcm (MIT General Circulation Model) is a widely used ocean and climate model. A typical run writes out many 3-D fields (temperature, salinity, sea surface height, velocities) at regular time steps, often from MPI jobs on a cluster. The default binary format is MDS: each field is a .meta file (dimensions, precision, iteration) plus a .data file (raw array, usually big-endian float32). Tiled MPI output adds more filename suffixes but the same basic layout.
After a run you usually have a directory with hundreds or thousands of these file pairs and no built-in viewer. MITgcm ships MITgcmutils for reading and writing MDS in Python, but you still need scripts to list what's there, pick an iteration and level, plot a slice, or subtract two snapshots. mdsview fills that gap: catalog a run folder without loading .data, plot 2-D slices with grid coordinates, diff two times or two variables (DiD), and export figures or new MDS files from the terminal on a headless node or from a local GUI.
For huge LLC runs or lazy xarray loading, use xmitgcm. mdsview targets quick inspection of run directories.
Install
From PyPI:
pip install mdsview # CLI (headless)
pip install "mdsview[gui]" # + desktop GUI (CustomTkinter)
From source:
git clone https://github.com/rhettadam/mdsview.git
cd mdsview
pip install -e .
pip install -e ".[gui]"
On Windows, if mdsview is not on PATH:
python -m mdsview.cli info -d C:\path\to\run
Requires Python 3.9+, NumPy, matplotlib, MITgcmutils, cmocean, Pillow. GUI needs CustomTkinter.
Quick start
mdsview info -d /path/to/run
mdsview plot -v T -i 480 -l 4 -d /path/to/run
mdsview plot -v T -i 480 -l 4 --save-figure t.png --no-show -d /path/to/run # headless
mdsview gui -d /path/to/run
-d FOLDER is the run directory (default: .). -v NAME is the field prefix (T, S, Eta, …). Most commands accept --json. Run mdsview COMMAND --help for options.
Sample data
Synthetic run directories for testing without MITgcm:
mdsview generate-sample -o sample_data --preset demo
See sample_data/SAMPLE_README.txt after generation. Other presets and options: mdsview generate-sample --help.
CLI
info
List variables or show metadata. Reads .meta only, safe with thousands of snapshots.
mdsview info
mdsview info -v T
mdsview info -v T --show-meta
mdsview info -v T --json
plot
One 2-D slice. With --level, reads a single horizontal slab, not the full volume.
mdsview plot -v T -i 480 -l 4
mdsview plot -v Eta -i last
mdsview plot -v T -i 0 -l 10 --cmap haline --vmin 0 --vmax 30 --save-figure out.png --no-show
mdsview plot -v T -i 0 --no-coords # index axes, not XC/YC
diff
field(LATER) − field(EARLIER). Default is one slice; --save-field without --level loads full volumes.
mdsview diff -v T --later 2520 --earlier 0 -l 20
mdsview diff -v T --later 2520 --earlier 0 -l 20 --plot --save-figure diff.png --no-show
mdsview diff -v T --later 2520 --earlier 0 --save-field T_diff
mdsview diff -v T 480 0 -l 4 # positional iters also work
dod
Difference-of-differences: (B@t1 − A@t1) − (B@t2 − A@t2). Stats stream level-by-level; full 3-D output uses a memmap temp file.
mdsview dod -a T -b S --time1 0 --time2 2520
mdsview dod -a T -b S --time1 0 --time2 2520 -l 20 --plot --save-figure dod.png --no-show
mdsview dod -a T -b S --time1 0 --time2 2520 --save-field DiD_TS
mdsview dod -a UVEL -b VVEL --time1 0 --time2 120 --rec 0
combine
Stack iterations into one array. Loads every listed iteration; use for small tests only.
mdsview combine -v T --iterations 0,360,720 --save-field T_stack
generate-sample
Create synthetic .data/.meta for tests. See Sample data.
Plot options
Used by plot, diff, and dod:
-l,--level K: vertical index (0 = top)--cmap: defaultthermal(plot) orbalance(diff/dod); matplotlib + cmocean names--vmin,--vmax--save-figure FILE,--no-show
Diff/dod plots use a symmetric diverging scale. Full list: mdsview/colormaps.py.
GUI
pip install "mdsview[gui]"
mdsview gui -d /path/to/run
Run directory at the top. Left icons switch panels; controls sit beside the plot. Stats (min, mean, max, std) update with each field.
Lists every variable in the run. Selecting one shows metadata below; double-click or Plot selected opens it in Field.
Pick variable, iteration, and level. Sliders auto-refresh the plot. Footer controls step through time or export a GIF.
Preview XC/YC (or other grid files) and optionally overlay grid lines on field plots.
Subtract an earlier snapshot from a later one. Later and earlier can live in different run directories.
Plot or export the difference-of-differences between two variables at two times. Volume stats runs the same streaming calculation as mdsview dod without --plot.
Top bar: Open (Ctrl+O), Refresh (Ctrl+R), PNG (Ctrl+S), GIF (export dialog). Matplotlib pan/zoom sits under the plot.
HPC / batch
CLI uses the Agg backend by default (no display). Use --save-figure and --no-show:
mdsview info -d /scratch/run001
mdsview plot -v T -i last -l 20 -d /scratch/run001 --save-figure t.png --no-show
mdsview dod -a T -b S --time1 0 --time2 2520 --json -d /scratch/run001
Exit codes: 0 ok, 1 error, 2 bad args, 130 interrupt. Errors go to stderr. Tracebacks: MDSVIEW_DEBUG=1.
Memory
info:.metafilenames onlyplot/diffwith-l: one slab per snapshotdodstats: level-by-leveldod/diff --save-field(no level): full volume;combine: all listed iters in RAM
Python API
from mdsview import io, ops, plotting
slab = io.read_level_slice("/path/to/run", "T", 480, level=4)
diff2d, meta = ops.diff_slice("/path/to/run", "T", later=480, earlier=0, level=4)
plotting.plot_field("/path/to/run", "T", 480, level=4, save="t.png", show=False)
Limitations
- Standard MDS only, not
pkg/mnctiles (usegluemncfirst) dod --recfor multi-record files; other commands may need extending- No 3-D volume rendering; LLC unfolding is partial (needs XC/YC in the run dir)
License
MIT License. See LICENSE. Copyright (c) 2026 Rhett R. Adam.
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