67 Open source projects that are alternatives of or similar to flox

Distributed Xarray with Apache Beam

Earth System Model Lab (esmlab). ⚠️⚠️ ESMLab functionality has been moved into <https://github.com/NCAR/geocat-comp>. ⚠️⚠️

N-D labeled arrays and datasets in Python

xarrayutils.readthedocs.io/

Radio Astronomy Algorithms Library

Python package for automated analysis and management of gridded climate data

Notes and practicals for my "Physics of the Climate System" lecture

Batch generation from xarray datasets

Machine Learning Operator & Controller for Kubernetes

Maximum Covariance Analysis in Python

Experimental code for loading/saving XArray DataArrays to Geographic Rasters using rasterio

Xarray backend to Copernicus Sentinel-1 satellite data products

A use case of a reproducible machine learning pipeline using Dask, DVC, and MLflow.

Distributed SQL Engine in Python using Dask

Awesome Spectral Indices in Python.

The PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particular for scientific data processing and visualization used in climate science. It contains scripts for visualization, I/O, and analysis using PyNGL, PyNIO, xarray, cfgrib, xesmf, cartopy, and others.

Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray

A lightweight interface for working with the Weather Research and Forecasting (WRF) model output in Xarray.

Python toolkit for GEOS-Chem.

Visualizer for pandas data structures

A High-Performance Data Science Toolkit for the Earth Sciences

A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.

Python for downloading model data (HRRR, RAP, GFS, NBM, etc.) from NOMADS, NOAA's Big Data Program partners (Amazon, Google, Microsoft), ECMWF open data, and the University of Utah Pando Archive System.

🎛 Distributed machine learning made simple.

A Python interface between Earth Engine and xarray for processing time series data

Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.

Climate Data Science and Earth Observation with Python.

Publish Xarray Datasets via a REST API.

Python client for using Prefect Cloud with Saturn Cloud

Php ile uavt adres kodu botu

Reproducibility for Humans: A lightweight tool to perform reproducible machine learning experiment.

Climate Simulation Operations

🚕 A spreadsheet-like data preparation web app that works over Optimus (Pandas, Dask, cuDF, Dask-cuDF, Spark and Vaex)

Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby

Extension to hypothesis for testing numpy general universal functions

🪴 Nebari - your open source data science platform

Data-parallelism on CUDA using Transducers.jl and for loops (FLoops.jl)

MadPy Dask talk materials

Notebooks that support blog posts and tech talks on Dask / Coiled.

Python/xarray tutorial for GEOS-Chem users

🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

Efficient and scalable parallelism using the message passing interface (MPI) to handle big data and highly computational problems.

⚡️ An efficient cache for the execution of dask graphs.

A Python library for machine-learning and feedback loops on streaming data

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

[EXPERIMENTAL] R package: future.mapreduce - Utility Functions for Future Map-Reduce API Packages

xarray interface for bpch files

Native Dask collection for awkward arrays, and the library to use it.

Python library for building Pangeo Forge recipes.

Python package to call processed EE objects via the REST API to local data

A search engine which can hold 100 trillion lines of log data.

dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.

juliafolds.github.io/data-parallelism/

Open source implementation of the SOQL.

Scalable machine 🤖 learning for time series forecasting.

Read and write rasters in parallel using Rasterio and Dask

Gaia is a geospatial analysis library jointly developed by Kitware and Epidemico.

The core parallel and shared memory library used by Hack, Flow, and Pyre

A library for managing, validating, summarizing, and visualizing data.

Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.