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AWS Data Wrangler

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Brancher

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Brancher vs AWS Data Wrangler: What are the differences?

What is Brancher? A Python package for differentiable probabilistic inference. It is a user-centered Python package for differentiable probabilistic inference. It allows to design and train differentiable Bayesian models using stochastic variational inference. It is based on the deep learning framework PyTorch.

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).

Brancher and AWS Data Wrangler can be categorized as "Data Science" tools.

Brancher and AWS Data Wrangler are both open source tools. AWS Data Wrangler with 378 GitHub stars and 35 forks on GitHub appears to be more popular than Brancher with 174 GitHub stars and 28 GitHub forks.

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What is AWS Data Wrangler?

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).

What is Brancher?

It is a user-centered Python package for differentiable probabilistic inference. It allows to design and train differentiable Bayesian models using stochastic variational inference. It is based on the deep learning framework PyTorch.

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What companies use AWS Data Wrangler?
What companies use Brancher?
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    What tools integrate with AWS Data Wrangler?
    What tools integrate with Brancher?
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