fastapi-crudrouter
titiler
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| fastapi-crudrouter | titiler | |
|---|---|---|
| 4 | 6 | |
| 1,304 | 686 | |
| - | 3.5% | |
| 0.0 | 8.8 | |
| 6 months ago | 6 days ago | |
| Python | Python | |
| MIT License | MIT License |
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fastapi-crudrouter
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why when I search for Python jobs I find alot! but when I search for Django (the most used Python framework ) I get few compared to spring or nodejs ?
FastAPI does have an equivalent. Something like this? https://github.com/awtkns/fastapi-crudrouter
- FastAPI CRUD Router
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FUNCTOOLS CHANGED MY LIFE
I can't show any pics cuz of uk NDA and all that. I can tell you the gist of it though. FastAPI is already pretty good at the abstraction part. Our middleware had a lot of rerouting and it was basically just a bunch of redundant functions. I just used this cool ass package https://fastapi-crudrouter.awtkns.com/ and used the partial function from functools to generate endpoints for every scenario/db tables.
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FastAPI framework, high perf, easy to learn, fast to code, ready for production
Thanks, that's a really helpful example.
Where I think this could be taken to the next level of reusability is in modularising the front-end into API-specific components. For example, the login behaviour could depend on FastAPI-Users, with a sibling frontend library containing components that implement the same login flow. Adding user behaviour is then a matter of using the same third-party library on the front and back end.
This approach could be extended to other components such as an admin panel (perhaps using https://github.com/awtkns/fastapi-crudrouter), or a blogging component.
titiler
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How The Post is replacing Mapbox with open source solutions
There's a lot to like about GDAL+Rasterio, although I've found having all HTTP requests go through GDAL's C API does result in some limitations on concurrency and multithreading. GDAL's configuration being based entirely on env vars also has its downsides: https://github.com/developmentseed/titiler/issues/186
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Extending PostGIS with TiMVT/TiFeatures and PgSTAC
TiMVT and TiFeatures, along with TiTiler for raster services, complete a trio of python-FastAPI services. The current roadmap includes merging TiFeatures & TiMVT, the vector-based services, into a single project to reduce code redundancy.
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Serverless GIS
COGs are great, but from my experience micro services like titiler don't support complex styling logic. Is there a possibility to create a serverless WMS service with complex styling requirements?
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geotiff mosaic viewer / qgis?
Consider something like titiler if you want to serve the pile of geotiffs out to the web.
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Configuring >100GB of imagery as raster tiles, TMS / WTMS, AWS S3 storage?
We were able to host 10gb six band rasters as well as 2cm RGB split into 100m tiles on S3 using COGS, mosaic.json and the TiTiler project which is powered by AWS lambda functions
What are some alternatives?
starlite - Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs [Moved to: https://github.com/litestar-org/litestar]
gdal2tiles-leaflet - Generate raster image tiles for use with leaflet.
Flask-AppBuilder - Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/
mangum - AWS Lambda support for ASGI applications
fastapi-users - Ready-to-use and customizable users management for FastAPI
rasterio - Rasterio reads and writes geospatial raster datasets
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
Dask - Parallel computing with task scheduling
geoserver-rest - Python library for management for geospatial data in GeoServer.
openapi-generator - OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
fastapi-microservice-template - A template for a FastAPI based Serverless Framework microservice running on AWS Lambda