Pandas vs AWS Data Wrangler: What are the differences?
What is Pandas? High-performance, easy-to-use data structures and data analysis tools for the Python programming language. Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
What is AWS Data Wrangler? Move pandas/spark dataframes across AWS services. It is a utility belt to handle data on AWS. It aims to fill a gap between AWS Analytics Services (Glue, Athena, EMR, Redshift) and the most popular Python data libraries (Pandas, Apache Spark).
Pandas and AWS Data Wrangler belong to "Data Science Tools" category of the tech stack.
Pandas and AWS Data Wrangler are both open source tools. It seems that Pandas with 22.8K GitHub stars and 9.1K forks on GitHub has more adoption than AWS Data Wrangler with 378 GitHub stars and 35 GitHub forks.
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