Alternatives and similar repositories for metaflow-tools

Users that are interested in metaflow-tools are comparing it to the libraries listed below

• jacopotagliabue / post-modern-stack
  Joining the modern data stack with the modern ML stack
  ☆199Updated 2 years ago
• outerbounds / terraform-aws-metaflow
  Deploy production-grade Metaflow cloud infrastructure on AWS
  ☆67Updated 4 months ago
• Netflix / metaflow-tools
  Deployment tools/scripts for Metaflow!
  ☆56Updated 2 years ago
• zenml-io / mlstacks
  A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
  ☆255Updated 11 months ago
• unionai-oss / unionml
  UnionML: the easiest way to build and deploy machine learning microservices
  ☆336Updated last year
• great-expectations / great_expectations_action
  A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.
  ☆81Updated last year
• Netflix / metaflow-service
  Metadata tracking and UI service for Metaflow!
  ☆211Updated 4 months ago
• outerbounds / metaflow-card-notebook
  Render Jupyter Notebooks With Metaflow Cards
  ☆31Updated 11 months ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated 2 years ago
• getindata / kedro-kubeflow
  Kedro Plugin to support running workflows on Kubeflow Pipelines
  ☆55Updated 2 months ago
• outerbounds / metaflowbot
  Slack bot for monitoring your Metaflow flows!
  ☆29Updated 3 years ago
• davidmirror-ops / flyte-the-hard-way
  Prepare requirements and deploy Flyte using Helm
  ☆77Updated 5 months ago
• Ark-kun / google_cloud_mlflow
  Experimental MLflow plugin for Google Cloud Vertex AI
  ☆38Updated 3 months ago
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆69Updated last month
• iterative / terraform-provider-iterative
  ☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes
  ☆294Updated 9 months ago
• anna-geller / prefect-deployment-patterns
  Code examples showing flow deployment to various types of infrastructure
  ☆109Updated 2 years ago
• ploomber / soopervisor
  ☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.
  ☆45Updated 6 months ago
• outerbounds / metaflow-ray
  ☆23Updated 7 months ago
• kedro-org / kedro-starters
  Templates for your Kedro projects.
  ☆78Updated 2 weeks ago
• trubrics / trubrics-python
  Product analytics for AI Assistants
  ☆154Updated 3 months ago
• iterative / vscode-dvc
  Machine learning experiment tracking and data versioning with DVC extension for VS Code
  ☆208Updated last week
• MagnivOrg / magniv-core
  Magniv Core - A Python-decorator based job orchestration platform. Avoid responsibility handoffs by abstracting infra and DevOps.
  ☆80Updated last year
• DagsHub / client
  DagsHub client libraries
  ☆99Updated last week
• operatorai / modelstore
  🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…
  ☆396Updated 8 months ago
• mlrun / storey
  real-time data + ML pipeline
  ☆54Updated last week
• ibis-project / ibis-ml
  IbisML is a library for building scalable ML pipelines using Ibis.
  ☆115Updated last month
• combinator-ml / combinator
  Combinator.ml's central repo, documentation and website
  ☆30Updated 3 years ago
• flyteorg / flytesnacks
  Flyte Documentation 📖
  ☆81Updated 5 months ago
• aporia-ai / inferencedb
  🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)
  ☆81Updated 3 years ago
• chassisml / chassis
  Chassis turns machine learning models into portable container images that can run just about anywhere.
  ☆86Updated last year