ydata-quality VS py

Compare ydata-quality vs py and see what are their differences.

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ydata-quality py
1 5
410 6,627
1.2% 0.6%
0.0 0.0
9 days ago 10 days ago
Jupyter Notebook Jupyter Notebook
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.

ydata-quality

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

py

Posts with mentions or reviews of py. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-02.

What are some alternatives?

When comparing ydata-quality and py you can also consider the following projects:

data - Data and code behind the articles and graphics at FiveThirtyEight

fastprogress - Simple and flexible progress bar for Jupyter Notebook and console

ta - Technical Analysis Library using Pandas and Numpy

ml-coursera-python-assignments - Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

alphalens - Performance analysis of predictive (alpha) stock factors

feature-engineering-tutorials - Data Science Feature Engineering and Selection Tutorials

AeroPython - Classical Aerodynamics of potential flow using Python and Jupyter Notebooks

code - Compilation of R and Python programming codes on the Data Professor YouTube channel.

pydna - Clone with Python! Data structures for double stranded DNA & simulation of homologous recombination, Gibson assembly, cut & paste cloning.

PANDAS-TUTORIAL - Jupyter Notebooks and Data Sets for Pandas Library

BestPractices - Things that you should (and should not) do in your Materials Informatics research.