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

MLflow

206
516
+ 1
9
TransmogrifAI

8
20
+ 1
0
Add tool

MLflow vs TransmogrifAI: What are the differences?

What is MLflow? An open source machine learning platform. MLflow is an open source platform for managing the end-to-end machine learning lifecycle.

What is TransmogrifAI? 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.

MLflow and TransmogrifAI can be primarily classified as "Machine Learning" tools.

MLflow and TransmogrifAI are both open source tools. TransmogrifAI with 1.56K GitHub stars and 264 forks on GitHub appears to be more popular than MLflow with 20 GitHub stars and 11 GitHub forks.

Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of MLflow
Pros of TransmogrifAI
  • 5
    Code First
  • 4
    Simplified Logging
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    What is MLflow?

    MLflow is an open source platform for managing the end-to-end machine learning lifecycle.

    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

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

    What companies use MLflow?
    What companies use TransmogrifAI?
    Manage your open source components, licenses, and vulnerabilities
    Learn More

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

    What tools integrate with MLflow?
    What tools integrate with TransmogrifAI?

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

    What are some alternatives to MLflow and TransmogrifAI?
    Kubeflow
    The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.
    Airflow
    Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
    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.
    DVC
    It is an open-source Version Control System for data science and machine learning projects. It is designed to handle large files, data sets, machine learning models, and metrics as well as code.
    Seldon
    Seldon is an Open Predictive Platform that currently allows recommendations to be generated based on structured historical data. It has a variety of algorithms to produce these recommendations and can report a variety of statistics.
    See all alternatives