Pydantic models for creating and validating GeoJSON data according to the RFC 7946 specification.
geojson-pydantic is a Python library that provides Pydantic data models for the GeoJSON specification (RFC 7946). It allows developers to create, validate, and serialize GeoJSON data with type safety and automatic validation, solving the problem of handling geospatial data correctly in Python applications.
Python developers working with geospatial data, GIS applications, or APIs that need to produce or consume GeoJSON, especially those using Pydantic for data validation.
It offers a standards-compliant, lightweight solution that integrates seamlessly with Pydantic, ensuring data integrity and reducing errors in geospatial workflows compared to manual validation or generic JSON handling.
Pydantic data models for the GeoJSON spec
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Models strictly adhere to the official GeoJSON specification, ensuring data correctness as highlighted in the project description and key features.
Leverages Pydantic for automatic validation and serialization, making it easy to integrate into modern Python ecosystems like FastAPI, as noted in the value proposition.
Provides typed models for GeoJSON structures such as Points and FeatureCollections, reducing errors in geospatial workflows compared to manual handling.
Prioritizes correctness and integration without unnecessary bloat, aligning with the philosophy of being a standards-compliant solution.
Limited to validation and serialization; lacks built-in functions for spatial queries or transformations, requiring additional libraries like Shapely for analysis.
Adds a dependency on Pydantic, which can be unnecessary for projects not using it or aiming for minimal dependencies, and introduces performance costs.
While it works well with Pydantic-based frameworks, it may require extra glue code to integrate with other geospatial tools or legacy systems.