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titiler-core

A modern dynamic tile server built on top of FastAPI and Rasterio/GDAL.

Worth itPyPI GISReleased Jul 2026168.5K downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — titiler_core-2.2.1-py3-none-any.whl
v2.2.1 · released 2026-07-29 · Python >=3.11 · 10 runtime deps: fastapi, geojson-pydantic, jinja2, morecantile, numpy, pydantic, rasterio, rio-tiler

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.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.11 or later; rasterio and GDAL dependencies may require system libraries on some platforms.
  • Low friction install with a pure-Python wheel.
  • Actively maintained as of 16 days ago with recent commits and a stable repository.

License · maintenance · safety

MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; you may use, modify, and distribute the package freely provided you include the license notice.

last release 2026-07-29 (16 days) · last repo commit 2026-08-11 · 1,145 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 168,459 downloads/mo, #10,448 on PyPI

Verify before relying

from fastapi import FastAPI
from titiler.core.factory import TilerFactory

app = FastAPI(description="A lightweight Cloud Optimized GeoTIFF tile server")
cog = TilerFactory()
app.include_router(cog.router, tags=["Cloud Optimized GeoTIFF"])
  • Whether the package handles MosaicJSON and STAC data sources as mentioned in keywords, and what the API surface looks like for those use cases.
  • Performance characteristics and scalability limits for concurrent tile requests or large raster datasets.
  • Whether OpenTelemetry tracing (mentioned in module structure) is enabled by default or requires configuration.
Same gist for agents: .md · .json

What it is and 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.

The core dependencies are fastapi, starlette, rasterio, rio-tiler, pydantic, and morecantile—a 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.

Use it for

  • 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.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

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.

Install

titiler-core on PyPI

Before you install

Low friction install with a pure-Python wheel. Actively maintained as of 16 days ago with recent commits and a stable repository. Requires Python 3.11 or later.

Requires Python 3.11 or later; rasterio and GDAL dependencies may require system libraries on some platforms.

License in practice

MIT license permits commercial and private use with minimal restrictions; you may use, modify, and distribute the package freely provided you include the license notice.

Quickstart

from fastapi import FastAPI
from titiler.core.factory import TilerFactory

app = FastAPI(description="A lightweight Cloud Optimized GeoTIFF tile server")
cog = TilerFactory()
app.include_router(cog.router, tags=["Cloud Optimized GeoTIFF"])

Verify before relying

  • Whether the package handles MosaicJSON and STAC data sources as mentioned in keywords, and what the API surface looks like for those use cases.
  • Performance characteristics and scalability limits for concurrent tile requests or large raster datasets.
  • Whether OpenTelemetry tracing (mentioned in module structure) is enabled by default or requires configuration.

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.11
Install frictionLow. Pure-Python wheel
Runtime dependencies
10 packages
fastapigeojson-pydanticjinja2morecantilenumpypydanticrasteriorio-tilersimplejsonstarlette
MaintenanceActively maintained 16 days since the last release
Last repo commit
First released
Downloads168,459 / month, #10,448 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Intended Audience :: Information TechnologyIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering :: GIS

Evidence: titiler_core-2.2.1-py3-none-any.whl

Tags

Capabilities
cloud optimized geotiff tile serverdynamic raster tile generationfastapi geospatial tilescog tile server frameworkogc wmts tile endpoints
Topics
geospatialtile-serverraster-data
PyPI keywords
COGDynamic tile serverFastapiGDALMosaicJSONOGCRasterioSTAC

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See also titiler-application · titiler-extensions · async-tiff · titiler-mosaic · rio-cogeo · cogeo-mosaic · rio-tiler · morecantile · large-image · rasterio