qgis-bridge 0.1.2

Push spatial data from Python directly into a live QGIS session

qgis-bridge

Push spatial data from Python directly into a live QGIS session — no file exports, no manual imports, no QGIS-specific knowledge required.

Overview

qgis-bridge eliminates the friction of moving data between Python analysis environments and QGIS for visualization. Run your spatial analysis in a Jupyter notebook or Python script, then send results to QGIS with a single function call.

Usage

Standalone function:

from qgis_bridge import to_qgis

to_qgis(gdf, layer_name="Risk Zones", color_by="risk_score")

GeoDataFrame accessor:

import qgis_bridge  # registers the .qgis accessor on GeoDataFrame

gdf.qgis.send(layer_name="Risk Zones", color_by="risk_score")

Cloud raster URIs (streamed directly, no local download):

to_qgis("gs://my-bucket/elevation.tif", layer_name="Elevation")
to_qgis("s3://my-bucket/imagery.tif", layer_name="Imagery")
to_qgis("az://my-container/dem.tif", layer_name="DEM")

Supported Data Types

• Vector: GeoDataFrame with a CRS set
• Raster: Cloud GeoTIFFs via GCS (gs://), S3 (s3://), or Azure Blob (az://)

Design

• Zero QGIS installation required in the Python environment
• Communicates with an already-running QGIS instance
• No authentication surface — credential resolution handled by QGIS/GDAL
• Works in Jupyter, JupyterLab, VS Code, and plain Python scripts

Installation

pip install qgis-bridge

The QGIS plugin must also be installed separately inside QGIS (Plugins > Install from Zip), using the qgis_plugin/ directory from this repository.

Contributing

This project uses uv for development.

# Install uv (if not already installed)
brew install uv          # macOS
pip install uv           # any platform

# Clone and set up
git clone https://github.com/R-Repo/qgis-bridge
cd qgis-bridge
uv sync --group dev      # creates .venv and installs all dependencies

# Run tests (no QGIS required)
uv run pytest tests/

Status

Early development. API subject to change.

License

MIT