rasterio
fastapi
rasterio | fastapi | |
---|---|---|
6 | 469 | |
2,140 | 71,023 | |
0.8% | - | |
8.6 | 9.8 | |
7 days ago | 8 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
rasterio
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Building a Dynamic Tile Server Using Cloud Optimized GeoTIFF(COG) with TiTiler
TiTiler is a dynamic tile server built on FastAPI and Rasterio/GDAL. Its main features include support for Cloud Optimized GeoTIFF(COG), multiple projection methods, various output formats (JPEG, JP2, PNG, WEBP, GTIFF, NumpyTile), WMTS, and virtual mosaic. It also provides Lambda and ECS deployment environments using AWS CDK.
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Python: How to save NumPy 2d-array to an asc-file so that it can be opened in ArcGIS Pro?
You're missing transform headers etc, you can write it out with GDAL but rasterio is generally easier to use than the Python GDAL bindings, here's an example.
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How to convert (geo?)tifs into something I can query with geocoordinates (PostgreSQL?) ?
Out of curiosity, what's stopping you from keeping the data in GTiff and just sampling from them with coordinates? Lots of free software lets you do that easily (e.g. QGIS, rasterio if you use Python etc). Am I not seeing something here?
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Library Writing Realizations
> X. People will not read the docs.
> Docs are almost useless. Nobody reads them.
> They'll read a one page quick start, and then they want to just start digging in writing code.
> Keep the intros very minimal and very focused on getting things working.
I, for one, read the docs. May fortune smile on those who put effort into https://rasterio.readthedocs.io/
They are terse, but enough breadcrumbs to fumble my way to a working input for gdal_proximity.py
Possibly I'm not a representative sample, but one of my mantras at the office is "If you ain't doc'in', you ain't rockin'."
(Though we are only doing ransom note wiki pages, not library documentation.)
If the package doesn't have shiny Sphynx docs, at least afford us a few cryptic utterances in the source code.
- How do I open .vrt file to see content of the file in python?
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Better alternative to gdal_translate [cross posted with r/QGIS]
Looks like rio (Rasterio CLI) also uses gdal libraries. https://github.com/rasterio/rasterio/blob/master/rasterio/rio/clip.py
fastapi
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Github Sponsor Sebastián Ramírez Python programmer
He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used.
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Python: A SQLAlchemy Wrapper Component That Works With Both Flask and FastAPI Frameworks
It has been an interesting exercise developing this wrapper component. The fact that it seamlessly integrates with the FastAPI framework is just a bonus for me; I didn't plan for it since I hadn't learned FastAPI at the time. I hope you find this post useful. Thank you for reading, and stay safe as always.
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FastAPI Best Practices: A Condensed Guide with Examples
FastAPI is a modern, high-performance web framework for building APIs with Python, based on standard Python type hints.
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Building an Email Assistant Application with Burr
In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. We’ll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but won’t dive into details for it.
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FastAPI Got Me an OpenAPI Spec Really... Fast
That’s when I found FastAPI.
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How to Deploy a Fast API Application to a Kubernetes Cluster using Podman and Minikube
FastAPI & Uvicorn
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Analysing FastAPI Middleware Performance
Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696
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LangChain, Python, and Heroku
An API application framework (such as FastAPI)
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Litestar – powerful, flexible, and highly performant Python ASGI framework
It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.
This ends up made worse if you’re using sync routes.
If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.
This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759
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AI-Powered Image Search with CLIP, pgvector, and Fast API
Fast API.
What are some alternatives?
titiler - Build your own Raster dynamic map tile services
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
earthpy - A package built to support working with spatial data using open source python
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
BlenderGIS - Blender addons to make the bridge between Blender and geographic data
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
wxee - A Python interface between Earth Engine and xarray for processing time series data
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
flood-sim - This repo simulates water flooding.
Flask - The Python micro framework for building web applications.
awesome-spectral-indices - A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.