py VS Jupyter-PowerShell

Compare py vs Jupyter-PowerShell and see what are their differences.

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py Jupyter-PowerShell
5 1
6,619 100
1.3% -
0.0 1.6
14 days ago over 2 years ago
Jupyter Notebook Jupyter Notebook
- 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.

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.

Jupyter-PowerShell

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

What are some alternatives?

When comparing py and Jupyter-PowerShell you can also consider the following projects:

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

nbdev - Create delightful software with Jupyter Notebooks

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.

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

alphalens - Performance analysis of predictive (alpha) stock factors

beakerx - Beaker Extensions for Jupyter Notebook

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

notebook - Jupyter Interactive Notebook

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

homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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

PRML - PRML algorithms implemented in Python