imbalanced-learn VS sweetviz

Compare imbalanced-learn vs sweetviz and see what are their differences.

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning (by scikit-learn-contrib)
Machine Learning Python Statistics Data Science Data Analysis
Source Code
imbalanced-learn.org
Suggest alternative
Edit details

sweetviz

Visualize and compare datasets, target values and associations, with one line of code. (by fbdesignpro)
pandas-dataframe eda Pandas data-exploration Data Analysis Data Science Data Visualization Machine Learning data-profiling exploratory-data-analysis Statistics Exploration Python
Source Code
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
imbalanced-learn sweetviz
1 1
6,703 2,841
0.5% -
7.5 6.7
about 1 month ago 5 months ago
Python Python
MIT License MIT 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.

imbalanced-learn

Posts with mentions or reviews of imbalanced-learn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-26.
  • What’s your approach to highly imbalanced data sets?
    5 projects | /r/datascience | 26 May 2023
    There's a pletora of undersampling and oversampling models you can try out. To avoid removing information form the dataset, you can focus on oversampling techniques. You can try imbalanced-learn or smote-variants. Given enough data, using fully synthetic data is also an option, you can check ydata-synthetic for it. Let us know how it turned out!

sweetviz

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

What are some alternatives?

When comparing imbalanced-learn and sweetviz you can also consider the following projects:

ydata-synthetic - Synthetic data generators for tabular and time-series data

dataprep - Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

general_class_balancer - Data matching algorithm for categorical and continuous variables

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

deodel - A mixed attributes predictive algorithm implemented in Python.

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

scikit-learn - scikit-learn: machine learning in Python

popmon - Monitor the stability of a Pandas or Spark dataframe ⚙︎

dtale-desktop - Build a data visualization dashboard with simple snippets of python code

mlgauge - A simple library to benchmark the performance of machine learning methods across different datasets.

lux - 👾 Fast and simple video download library and CLI tool written in Go

pandera - A light-weight, flexible, and expressive statistical data testing library

imbalanced-learn vs ydata-synthetic sweetviz vs dataprep imbalanced-learn vs general_class_balancer sweetviz vs ydata-profiling imbalanced-learn vs deodel sweetviz vs Optimus imbalanced-learn vs scikit-learn sweetviz vs popmon sweetviz vs dtale-desktop sweetviz vs mlgauge sweetviz vs lux sweetviz vs pandera