xgboost_ray VS data-science-ipython-notebooks

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


Distributed XGBoost on Ray (by ray-project)


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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xgboost_ray data-science-ipython-notebooks
1 1
118 25,647
5.1% -
6.0 0.0
11 days ago 3 months 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.


Posts with mentions or reviews of xgboost_ray. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning xgboost_ray yet.
Tracking mentions began in Dec 2020.


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 xgboost_ray and data-science-ipython-notebooks you can also consider the following projects:

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

BirdNET - Soundscape analysis with BirdNET.

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

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

sports-betting - Collection of sports betting AI tools.

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

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

einops - Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

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.

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

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

scanpy - Single-cell analysis in Python. Scales to >1M cells.