viewinline 0.1.5

Quick look geospatial viewer for iTerm2 and ANSI compatible terminals

viewinline

Quick-look geospatial viewer for iTerm2.
Displays rasters and vectors directly in the terminal - no GUI, no temporary files.

This tool combines the core display logic of viewtif and viewgeom, but is non-interactive: you can’t zoom, pan, or switch colormaps on the fly. Instead, you control everything through command-line options (e.g. --display, --color-by, --colormap).

It’s designed for iTerm2 on macOS, using its inline image protocol to render a preview.

Installation

Requires Python 3.9 or later.

pip install viewinline

Usage

viewinline path/to/file.tif
viewinline path/to/vector.geojson
viewinline R.tif G.tif B.tif                 # RGB composite
viewinline path/to/multiband.tif --rgb-bands 3,2,1
viewinline path/to/folder --gallery 4x3      # show image gallery (e.g. 4x3 grid)
viewinline data.csv --describe               # show numeric summary for all numeric columns
viewinline data.csv --describe Income        # show numeric summary for one column
viewinline data.csv --hist                   # render histograms for all numeric columns
viewinline data.csv --hist area_km2          # histogram for one column
viewinline data.csv --scatter X Y            # scatter plot

Features

• Displays rasters and vectors directly in the terminal
• Works with iTerm2 inline image protocol
• Non interactive: everything is controlled through command line options

Supported formats

Rasters

• GeoTIFF (.tif, .tiff)
• PNG, JPEG (.png, .jpg, .jpeg)
• Single-band or multi-band composites

Composite inputs

• You can pass three rasters (e.g. R.tif G.tif B.tif) to create an RGB composite

Vectors

• GeoJSON (.geojson)
• Shapefile (.shp, .dbf, .shx)
• GeoPackage (.gpkg)

CSV

• Preview file summary (rows, columns, and names)
• Summary statistics with --describe
• Show all numeric columns, or specify one (e.g. --describe height)
• Inline histograms with --hist
• Show all numeric columns, or specify one (e.g. --hist area_km2)
• Scatter plots with --scatter X Y

Gallery view

• Display all images in a folder with --gallery 4x4

Available options

  --display DISPLAY     Resize only the displayed image (0.5=smaller, 2=bigger). Default: auto-fit to terminal.
  --ansi-size ANSI_SIZE
                        ANSI fallback resolution. Try 180x90 or 200x100.
  --band BAND           Band number to display (single raster case). (default: 1)
  --colormap [{viridis,inferno,magma,plasma,cividis,terrain,RdYlGn,coolwarm,Spectral,cubehelix,tab10,turbo}]
                        Apply colormap to single-band rasters or vector coloring. Flag without value → 'terrain'.
  --rgb-bands RGB_BANDS
                        Comma-separated band numbers for RGB display (e.g., '3,2,1'). Overrides default 1-3.
  --gallery [GRID]      Display all PNG/JPG/TIF images in a folder as thumbnails (e.g., 5x5 grid).
  --describe [DESCRIBE]
                        Show summary statistics for all numeric columns or specify one column name (similar to pandas.describe).
  --hist [HIST]         Show histograms for all numeric columns or specify one column name.
  --bins BINS           Number of bins for CSV histograms (used with --hist). (default: 20)
  --scatter X Y         Plot scatter of two numeric CSV columns (e.g. --scatter area_km2 year).
  --color-by COLOR_BY   Numeric column to color vector features by (optional).
  --width WIDTH         Line width for vector boundaries (default: 0.7)
  --edgecolor EDGECOLOR
                        Edge color for vector outlines (hex or named color). (default: #F6FF00)
  --layer LAYER         Layer name for GeoPackage or multi-layer files.

ANSI/ASCII color preview

If iTerm2 isn’t available, viewinline will automatically switch to an ANSI/ASCII color preview or save a quick PNG under /tmp/viewinline_preview.png.

This mode works on terminals with ANSI color support and may not display correctly on others.

For compatible terminals, viewinline renders images in a very coarse resolution. This feature is experimental.

License

This project is released under the MIT License © 2025 Keiko Nomura.

If you find this tool useful, please consider supporting or acknowledging the author.

Useful links

• YouTube demo playlist
• Demo at the initial release
• Demo for the v0.1.3
• Demo with GDAL
• User feedback (thank you!)