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Anaconda vs AWS Data Wrangler: What are the differences?
Anaconda: The Enterprise Data Science Platform for Data Scientists, IT Professionals and Business Leaders. A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda; 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).
Anaconda and AWS Data Wrangler can be categorized as "Data Science" tools.
AWS Data Wrangler is an open source tool with 378 GitHub stars and 35 GitHub forks. Here's a link to AWS Data Wrangler's open source repository on GitHub.