stackstac
xarray
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| stackstac | xarray | |
|---|---|---|
| 1 | 7 | |
| 223 | 3,404 | |
| - | 1.5% | |
| 5.6 | 9.7 | |
| 4 months ago | 7 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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stackstac
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Can you replace Geoserver with COG and MVT from a bucket?
Like they're doing here to access sentinel 2 images https://github.com/gjoseph92/stackstac
xarray
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Request for Startups: Climate Tech
PyTorch and JAX are used heavily in climate science on the ML side. For more general analytics, not so much. Many of our users like to use Xarray as a high-level API. There has been some work to integrate Xarray with PyTorch (https://github.com/pydata/xarray/issues/3232) but we're not there yet.
The Python Array API standard should help align these different back-ends: https://data-apis.org/array-api/latest/
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Python for Data Analysis, 3rd Edition – The Open Access Version Online
Does polars have N-D labelled arrays, and if so can it perform computations on them quickly? I've been thinking of moving from pandas to xarray [0], but might consider poplars too if it has some of that functionality.
[0] https://xarray.dev/
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What is lacking in Julia ecosystem?
https://xarray.dev
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How we found and helped fix 24
bugs in 24 hours (in Tensorflow, Sentry, V8, PyTorch, Hue, and more)
Pydata's xarray
- Xarray awarded a support grant from NASA
- xarray: N-Dimensional labeled arrays and datasets in Python
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Could somebody who has experience with reading .asc files / using xarray please give me some direction?
It does seem like it isn't installed. If you take a look at the source, it catches import errors, meaning it won't error out immediately if the package isn't installed.
What are some alternatives?
zen3geo - The 🌏 data science library you've been waiting for~
iris - A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data
rio-toa - Top Of Atmosphere (TOA) calculations for Landsat 8
tensorflow - An Open Source Machine Learning Framework for Everyone
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
dask-awkward - Native Dask collection for awkward arrays, and the library to use it.
Dask - Parallel computing with task scheduling
wxee - A Python interface between Earth Engine and xarray for processing time series data
fugue - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
swifter - A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
django-colorfield - :art: color field for django models with a nice color-picker in the admin.