{"categories":[{"label":"GIS","url":"https://skillfed.io/packages/category/scientific-engineering-gis"}],"enrichment":{"capability":"Provides FastAPI-based building blocks to create dynamic tile servers for Cloud Optimized GeoTIFFs and raster data, handling tile generation, OGC standards, and geospatial data serving.","skillfed_tags":["geospatial","tile-server","raster-data"],"use_cases":["Build a COG tile server by instantiating TilerFactory and registering its router, then serve Cloud Optimized GeoTIFFs over standard tile endpoints.","Implement custom raster algorithms by subclassing the algorithm base class and plugging them into the factory.","Serve OGC-compliant WMTS endpoints with auto-generated TileMatrixSet models and XML templates.","Add telemetry and error handling to a tile service using the built-in middleware and error handler factories.","Create a map viewer UI by leveraging the included Leaflet-based HTML template and Mapbox TileJSON response models."],"what_it_does":"titiler.core is a FastAPI framework for building dynamic tile servers that serve raster geospatial data on demand. It abstracts away the complexity of tile generation, coordinate transformation, and OGC standards compliance, letting you spin up a tile server by instantiating a TilerFactory and registering its router to your FastAPI app. The package wraps rasterio and GDAL for raster I/O and includes factories for Cloud Optimized GeoTIFF (COG) endpoints, response models aligned with Mapbox TileJSON and OGC standards, and middleware for common geospatial server concerns.\n\nThe core dependencies are fastapi, starlette, rasterio, rio-tiler, pydantic, and morecantile\u2014a stack designed for efficient tile serving. It ships with algorithm abstractions for elevation data and band indexing, Jinja2 templates for map viewers and WMTS documents, and telemetry hooks for OpenTelemetry tracing. The package is actively maintained, supports Python 3.11 through 3.14, and carries no known security vulnerabilities.","worth_installing":"Yes. titiler.core is actively maintained, has no security vulnerabilities, installs with low friction, and provides a well-structured FastAPI framework for geospatial tile serving. It is suitable for production use if you need to serve raster data as tiles and want OGC standards compliance out of the box. The MIT license imposes no restrictions. Install it if you are building a tile server; skip it if you need a ready-made tile service rather than a framework."},"id":"titiler-core","links":{"html":"https://skillfed.io/packages/titiler-core","md":"https://skillfed.io/packages/titiler-core.md","pypi":"https://pypi.org/project/titiler-core/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-29","license_spdx":null,"license_treatment":"permissive","name":"titiler-core","python_support":"supports_current","summary":"A modern dynamic tile server built on top of FastAPI and Rasterio/GDAL."},"popularity":{"monthly_downloads":168459,"position":10448,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.2.1"}