Get Advice Icon

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

GraphPipe
GraphPipe

1
4
+ 1
0
TransmogrifAI
TransmogrifAI

3
9
+ 1
0
Add tool

GraphPipe vs TransmogrifAI: What are the differences?

Developers describe GraphPipe as "Machine Learning Model Deployment Made Simple, by Oracle". GraphPipe is a protocol and collection of software designed to simplify machine learning model deployment and decouple it from framework-specific model implementations. On the other hand, TransmogrifAI is detailed as "Automated machine learning for structured data (by Salesforce)". TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning.

GraphPipe and TransmogrifAI can be categorized as "Machine Learning" tools.

GraphPipe and TransmogrifAI are both open source tools. TransmogrifAI with 1.57K GitHub stars and 271 forks on GitHub appears to be more popular than GraphPipe with 643 GitHub stars and 91 GitHub forks.

What is GraphPipe?

GraphPipe is a protocol and collection of software designed to simplify machine learning model deployment and decouple it from framework-specific model implementations.

What is TransmogrifAI?

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning
Get Advice Icon

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

Why do developers choose GraphPipe?
Why do developers choose TransmogrifAI?
    Be the first to leave a pro
      Be the first to leave a pro
        Be the first to leave a con
          Be the first to leave a con
          Jobs that mention GraphPipe and TransmogrifAI as a desired skillset
          What companies use GraphPipe?
          What companies use TransmogrifAI?

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

          What tools integrate with GraphPipe?
          What tools integrate with TransmogrifAI?

          Sign up to get full access to all the tool integrationsMake informed product decisions

          What are some alternatives to GraphPipe and TransmogrifAI?
          TensorFlow
          TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
          scikit-learn
          scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
          Keras
          Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
          PyTorch
          PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
          ML Kit
          ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package.
          See all alternatives
          Decisions about GraphPipe and TransmogrifAI
          No stack decisions found
          Interest over time
          Reviews of GraphPipe and TransmogrifAI
          No reviews found
          How developers use GraphPipe and TransmogrifAI
          No items found
          How much does GraphPipe cost?
          How much does TransmogrifAI cost?
          Pricing unavailable
          Pricing unavailable
          News about GraphPipe
          More news
          News about TransmogrifAI
          More news