xgboost_ray VS Optimus

Compare xgboost_ray vs Optimus and see what are their differences.

xgboost_ray

Distributed XGBoost on Ray (by ray-project)
Xgboost Data Science Dask modin Machine Learning Kaggle
Source Code
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Optimus

:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark (by ironmussa)
Data Analysis Spark Pyspark data-wrangling Bigdata big-data-cleaning Data Science data-cleansing data-cleaner data-transformation Machine Learning data-profiling data-extraction data-exploration data-preparation Cudf Dask dask-cudf data-cleaning
Source Code
hi-optimus.com
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xgboost_ray Optimus
1 -
131 1,441
0.0% 0.9%
5.8 1.9
about 2 months ago 4 days ago
Python Python
Apache License 2.0 Apache License 2.0
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.

xgboost_ray

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

Optimus

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

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

What are some alternatives?

When comparing xgboost_ray and Optimus you can also consider the following projects:

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

AWS Data Wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

sweetviz - Visualize and compare datasets, target values and associations, with one line of code.

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

ga-extractor - Tool for extracting Google Analytics data suitable for migrating to other platforms/databases

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

zef - Toolkit for graph-relational data across space and time

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.

anovos - Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark

flashtext - Extract Keywords from sentence or Replace keywords in sentences.

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

xgboost_ray vs mljar-supervised Optimus vs AWS Data Wrangler xgboost_ray vs d2l-en Optimus vs sweetviz xgboost_ray vs swifter Optimus vs ga-extractor xgboost_ray vs mars Optimus vs zef xgboost_ray vs data-science-ipython-notebooks Optimus vs anovos Optimus vs flashtext Optimus vs ydata-profiling