Stats

Basic bodywork repo stats
5
203
9.3
11 days ago

bodywork-ml/bodywork-core is an open source project licensed under GNU Affero General Public License v3.0 which is an OSI approved license.

Bodywork Alternatives

Similar projects and alternatives to bodywork based on common topics and language

  • GitHub repo argo-cd

    Declarative continuous deployment for Kubernetes.

  • GitHub repo metaflow

    Build and manage real-life data science projects with ease.

  • GitHub repo Hub

    Fastest unstructured dataset management for TensorFlow/PyTorch. Stream data real-time & version-control it. http://activeloop.ai (by activeloopai)

  • GitHub repo BentoML

    Model Serving Made Easy

  • GitHub repo flyte

    Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle tested at Lyft, Spotify, Freenome and others and is truly open-source.

  • GitHub repo polyaxon

    Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

  • GitHub repo awesome-mlops

    A curated list of references for MLOps

NOTE: The number of mentions on this list indicates mentions on common posts. Hence, a higher number means a better bodywork alternative or higher similarity.

Posts

Posts where bodywork has been mentioned. We have used some of these posts to build our list of alternatives and similar projects.
  • Bodywork: MLOps tool for deploying ML projects to Kubernetes
    news.ycombinator.com | 2021-05-04
  • Tool for mapping executable Python modules to Kubernetes deployments
    I’m one of the core contributors to Bodywork, an open-source tool for deploying machine learning projects developed in Python, to Kubernetes.
  • [P] [D] The benefits of training the simplest model you can think of and deploying it to production, as soon as you can.
    I’ve had many successes with this approach. With this in mind, I’ve put together an example of how to make this Agile approach to developing machine learning systems a reality, by demonstrating that it takes under 15 minutes to deploy a Scikit-Learn model, using FastAPI with Bodywork (an open-source MLOps tool that I have built).
  • bodywork - MLOps for Python and K8S
    reddit.com/r/mlops | 2021-02-01
  • bodywork-ml/bodywork-core - MLOps automation for Python and Kubernetes
    reddit.com/r/mlops | 2021-02-01