Brancher vs Pentaho Data Integration

Need advice about which tool to choose?Ask the StackShare community!

Brancher

0
8
+ 1
0
Pentaho Data Integration

97
67
+ 1
0
Add tool

Brancher vs Pentaho Data Integration: 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 Pentaho Data Integration? Easy to Use With the Power to Integrate All Data Types. It enable users to ingest, blend, cleanse and prepare diverse data from any source. With visual tools to eliminate coding and complexity, It puts the best quality data at the fingertips of IT and the business.

Brancher and Pentaho Data Integration belong to "Data Science Tools" category of the tech stack.

Brancher is an open source tool with 163 GitHub stars and 29 GitHub forks. Here's a link to Brancher's open source repository on GitHub.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
- No public GitHub repository available -

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 Pentaho Data Integration?

It enable users to ingest, blend, cleanse and prepare diverse data from any source. With visual tools to eliminate coding and complexity, It puts the best quality data at the fingertips of IT and the business.

Need advice about which tool to choose?Ask the StackShare community!

What companies use Brancher?
What companies use Pentaho Data Integration?
    No companies found
    See which teams inside your own company are using Brancher or Pentaho Data Integration.
    Sign up for StackShare EnterpriseLearn More

    Sign up to get full access to all the companiesMake informed product decisions

    What are some alternatives to Brancher and Pentaho Data Integration?
    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.
    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.
    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.
    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.
    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.
    See all alternatives