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Brancher

0
7
+ 1
0
Dataform

73
21
+ 1
0
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Brancher vs Dataform: 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 Dataform? A framework for managing SQL based data operations. Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.

Brancher belongs to "Data Science Tools" category of the tech stack, while Dataform can be primarily classified under "Business Intelligence".

Brancher and Dataform are both open source tools. Brancher with 174 GitHub stars and 28 forks on GitHub appears to be more popular than Dataform with 117 GitHub stars and 11 GitHub forks.

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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.

What is Dataform?

Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.

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      What are some alternatives to Brancher and Dataform?
      Pandas
      Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
      NumPy
      Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
      Anaconda
      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.
      SciPy
      Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
      PySpark
      It is the collaboration of Apache Spark and Python. it is a Python API for Spark that lets you harness the simplicity of Python and the power of Apache Spark in order to tame Big Data.
      See all alternatives
      Interest over time
      How much does Brancher cost?
      How much does Dataform cost?
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