stumpy VS distributed-compute-on-aws-with-cross-regional-dask

Compare stumpy vs distributed-compute-on-aws-with-cross-regional-dask and see what are their differences.

distributed-compute-on-aws-with-cross-regional-dask

Perform I/O intensive workloads on high-volume data sparsely located across multiple AWS regions through the use of Dask. (by aws-solutions-library-samples)
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stumpy distributed-compute-on-aws-with-cross-regional-dask
6 2
2,998 14
1.1% -
7.9 3.1
about 1 month ago 7 months ago
Python TypeScript
GNU General Public License v3.0 or later MIT No Attribution
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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stumpy

Posts with mentions or reviews of stumpy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-22.

distributed-compute-on-aws-with-cross-regional-dask

Posts with mentions or reviews of distributed-compute-on-aws-with-cross-regional-dask. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing stumpy and distributed-compute-on-aws-with-cross-regional-dask you can also consider the following projects:

pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

ibis - the portable Python dataframe library

pycrown - PyCrown - Fast raster-based individual tree segmentation for LiDAR data

swifter - A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

awesome-time-series - Resources for working with time series and sequence data

xarray - N-D labeled arrays and datasets in Python

kafkaml-anomaly-detection - Project for real-time anomaly detection using Kafka and python

cudf - cuDF - GPU DataFrame Library

dotmotif - A performant, powerful query framework to search for network motifs

Dask - Parallel computing with task scheduling

luminol - Anomaly Detection and Correlation library

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