xarray VS Dask

Compare xarray vs Dask and see what are their differences.

xarray

N-D labeled arrays and datasets in Python (by pydata)
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xarray Dask
7 32
3,380 11,906
1.7% 1.6%
9.7 9.7
4 days ago 6 days ago
Python Python
Apache License 2.0 BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

xarray

Posts with mentions or reviews of xarray. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-02.

Dask

Posts with mentions or reviews of Dask. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-15.

What are some alternatives?

When comparing xarray and Dask you can also consider the following projects:

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Numba - NumPy aware dynamic Python compiler using LLVM

Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

NetworkX - Network Analysis in Python

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python

statsmodels - Statsmodels: statistical modeling and econometrics in Python

PyMC - Bayesian Modeling and Probabilistic Programming in Python

blaze - NumPy and Pandas interface to Big Data

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis