Gisaf

Gisaf is a web based GIS (Geographical Information System) initially developed for the CSR Goematics unit in Auroville, India.

Its main audiences are local administrations which need a platform to develop and maintain a geographical, topological and environmental data, allow teams of surveyors to upload data and update the GIS in near real time, and collect data from a wide range of sources.

Although it just works out of the box, it is primarily intended to be customized and extended with the data, uses, needs.

Features

Layers defined with Python plugins or ANSI-standard categories
Open source industry standard interfaces (PostGIS database, OGCAPI)
Support of different geographical projections
Integrated administration interface
Export of data from standard formats (Geopackage, Shapefile)
Import and update of data managed in a well defined workflow with "baskets"
Acquisition of different kinds of surveyors' equipments, accuracies
Robust mechanisms of identification of the data sources, survey times
Geographical feature statuses (eg. Existing, Deprecated, Future)
Role-based access to data
Support temporal and other data for different features
Easy integration with IoT sensors, eg. using the MQTT protocol
Detailed information for all features
Tagging of features
Customizable, user triggered actions
Customizable background maps
Customizable dashboards
Customizable base maps (domain specific set of layers)
Python and Jupyter integration: easy to interact with, add features, components, explore data and conduct scientific research
Plugin architecture: add functions with Python packages
Free and open source

Software stack

Python: the Swiss Army knife language
Pydantic: the power of typing
FastAPI: web wizzard
SQLModel: SQL (ORM)
Postgis: geographical extension for the PostGresql database
Pandas and Geopandas: the data jugglers

Installation / deployment

See the documentation in the deployment directory.

Configuration

Documentation is being rewritten. Please contact us.

Demo

A very basic demo without any data, basically to give a feel of the user interface, is available here.

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