MLflow

65
208
+ 1
3
Polyaxon

8
36
+ 1
0
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MLflow vs Polyaxon: What are the differences?

Developers describe MLflow as "An open source machine learning platform". MLflow is an open source platform for managing the end-to-end machine learning lifecycle. On the other hand, Polyaxon is detailed as "An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications". An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

MLflow and Polyaxon belong to "Machine Learning Tools" category of the tech stack.

MLflow is an open source tool with 23 GitHub stars and 13 GitHub forks. Here's a link to MLflow's open source repository on GitHub.

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    What is MLflow?

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

    What is Polyaxon?

    An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.
    What companies use MLflow?
    What companies use Polyaxon?

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    What tools integrate with MLflow?
    What tools integrate with Polyaxon?

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    What are some alternatives to MLflow and Polyaxon?
    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
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