fugue VS data-science-ipython-notebooks

Compare fugue vs data-science-ipython-notebooks and see what are their differences.

fugue

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites. (by fugue-project)

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. (by donnemartin)
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fugue data-science-ipython-notebooks
11 1
1,853 26,307
1.5% -
6.7 0.0
11 days ago 9 days ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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.

fugue

Posts with mentions or reviews of fugue. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-22.

data-science-ipython-notebooks

Posts with mentions or reviews of data-science-ipython-notebooks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-12-27.

What are some alternatives?

When comparing fugue and data-science-ipython-notebooks you can also consider the following projects:

modin - Modin: Scale your Pandas workflows by changing a single line of code

manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning

BirdNET - Soundscape analysis with BirdNET.

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

sports-betting - Collection of sports betting AI tools.

PMapper - A tool for quickly evaluating IAM permissions in AWS.

data-science - :bar_chart: Path to a free self-taught education in Data Science!

listenbrainz-server - Server for the ListenBrainz project, including the front-end (javascript/react) code that it serves and all of the data processing components that LB uses.

pandas_flavor - The easy way to write your own flavor of Pandas

einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

mlToolKits - learningOrchestra is a distributed Machine Learning integration tool that facilitates and streamlines iterative processes in a Data Science project.