awesome-bigdata VS awesome-python-data-science

Compare awesome-bigdata vs awesome-python-data-science and see what are their differences.

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awesome-bigdata awesome-python-data-science
3 2
12,792 2,322
- -
1.5 7.6
8 days ago 19 days ago
MIT License Creative Commons Attribution 4.0
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.

awesome-bigdata

Posts with mentions or reviews of awesome-bigdata. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-13.

awesome-python-data-science

Posts with mentions or reviews of awesome-python-data-science. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing awesome-bigdata and awesome-python-data-science you can also consider the following projects:

tensorbase - TensorBase is a new big data warehousing with modern efforts.

100-Days-Of-ML-Code - 100 Days of ML Coding

NEPSE-Data-Visualizer-with-Streamlit - This is a repository to do data visualization of Nepal Stock Exchange data.

chrisalbon_com - Code for ChrisAlbon.com

datascience - Curated list of Python resources for data science.

Blazor-MachineIntelligence - Centralized repository of my Blazor apps with Machine Intelligence (Statistics, Analytics, Machine Learning, AI, Information Retrieval etc.). This repository will coalesce all of my Machine Intelligence repos in a single area and point to their respective: live demo, source code, video & presentation locations.

yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

streamlit - Streamlit — A faster way to build and share data apps.

ActivitySchema - Repository for the ActivitySchema spec and supporting materials

Awesome-Out-Of-Distribution-Detection - A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization

awesome-dataviz - :chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources.

machine-learning-resources - A curated list of awesome machine learning frameworks, libraries, courses, books and many more.