---
id: supermorecado
version: "0.2.0"
license: MIT License Copyright (c) 2023 Development Seed Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to… (full text in the JSON record)
license_treatment: permissive
maintenance: active
---

# supermorecado — Extend the functionality of morecantile with additional commands.

License: permissive · Maintenance: active · Downloads: 117.3K/mo

## What it is and what it does

Supermorecado is a command-line and Python library that extends morecantile to perform geospatial tile operations across multiple TileMatrixSet (TMS) grids. It takes GeoJSON geometries or tile coordinate streams and produces tile intersections, edge tiles, unified footprints, or density heatmaps—all configurable by TMS identifier rather than locked to a single grid like its predecessor supermercado.

The package is designed for geospatial workflows where you need to map vector features onto tiled grids, analyze tile coverage, or visualize tile density. It exposes both a CLI for shell pipelines and a Python API for programmatic use, making it suitable for batch processing, data preparation, and interactive analysis in GIS and mapping applications.

Use it for:

- Convert GeoJSON features to Web Mercator or other TMS tile coordinates for tile-based data ingestion pipelines
- Identify boundary tiles of a coverage area to optimize tile downloads or rendering
- Compute the unified footprint of a tile set as a single GeoJSON polygon for visualization or metadata
- Generate tile density heatmaps to identify coverage gaps or over-represented regions in tile inventories
- Migrate tile processing workflows from supermercado to support non-Web-Mercator grids like WGS84

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Extends morecantile with command-line and Python tools to burn GeoJSON into tile coordinates, extract tile edges, union tiles into footprints, and generate tile density heatmaps across multiple TileMatrixSet grids.

Yes. The package is actively maintained, has no known vulnerabilities, installs with low friction, and fills a clear gap for developers working with multiple TileMatrixSet grids. The MIT license is permissive. Install if you need to work with tiled geospatial data beyond Web Mercator or want a command-line tool for tile stream processing.

## Install

pip install supermorecado
uv add supermorecado
poetry add supermorecado

## Installing supermorecado

Before you install: Low friction installation as a pure Python wheel. Actively maintained with recent releases and a small but engaged user base. Depends on morecantile and rasterio, both stable geospatial libraries.

License in practice: MIT License permits unrestricted use, modification, and distribution with minimal restrictions—suitable for both open and proprietary projects.

Quickstart:

pip install supermorecado

# Command-line: burn GeoJSON to tiles at zoom 9
cat features.geojson | supermorecado burn 9

# Python API: burn tiles with custom TMS
import morecantile
from supermorecado import burnTiles

tms = morecantile.tms.get("WebMercatorQuad")
burner = burnTiles(tms=tms)
tiles = burner.burn(features)

Verify before relying:

- Whether rasterio's compiled dependencies (GDAL) are pre-installed or require system setup on target platforms
- Performance characteristics when processing large GeoJSON streams or high-zoom tile sets

## Package facts

- License: MIT License Copyright (c) 2023 Development Seed Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to… (full text in the JSON record) (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 117.3K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

tile matrix set operations, geojson to tile coordinates, map tile utilities, tms tile processing, tile edge detection, tile heatmap generation, raster tile tools, geospatial, tile-processing, cli-tool

[View on SkillFed](https://skillfed.io/packages/supermorecado) · [View on PyPI](https://pypi.org/project/supermorecado/)