nist-crc-2023 VS awesome-python-for-data-science

Compare nist-crc-2023 vs awesome-python-for-data-science and see what are their differences.


A curated list of awesome resources such as books, tutorials, courses, open-source libraries, exercises, and other materials that support Pythonistas in the making, and Pythonistas migrating into Data Science! 📊 (by Data-Centric-AI-Community)
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nist-crc-2023 awesome-python-for-data-science
7 7
27 68
- -
4.3 6.6
10 months ago 7 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.


Posts with mentions or reviews of nist-crc-2023. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-01.


Posts with mentions or reviews of awesome-python-for-data-science. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-12.

What are some alternatives?

When comparing nist-crc-2023 and awesome-python-for-data-science you can also consider the following projects:

tdk-demo - This is a collection of TDK demo projects that use different databases and options

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

genalog - Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.

rgb-to-hex - Python script to convert an RGB text sequence into HEX Code

SDV - Synthetic data generation for tabular data

ultimate-python - Ultimate Python study guide for newcomers and professionals alike. :snake: :snake: :snake:

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

ml-earth-observation-101 - An introduction to applying machine learning to satellite imagery (remote sensing).

mud-pi - A simple MUD server in Python, for teaching purposes, which could be run on a Raspberry Pi

python-tutorial - A Python 3 programming tutorial for beginners.

Data-Science-Resources - Data Science related resources and cheatsheets

learn oops in python - 📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.