Alternatives and similar repositories for combinator

Users that are interested in combinator are comparing it to the libraries listed below

• kubeflow / kale
  Kubeflow’s superfood for Data Scientists
  ☆654Updated this week
• iterative / terraform-provider-iterative
  ☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes
  ☆294Updated last year
• spotify / terraform-gke-kubeflow-cluster
  Terraform module for creating GKE clusters to run Kubeflow
  ☆215Updated 4 years ago
• thoughtworks / mlops-platforms
  Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
  ☆395Updated 3 years ago
• outerbounds / terraform-aws-metaflow
  Deploy production-grade Metaflow cloud infrastructure on AWS
  ☆70Updated last week
• SAME-Project / same-project
  ☆21Updated 3 years ago
• 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…
  ☆398Updated 11 months ago
• outerbounds / metaflow-tools
  Tools and utilities for operating Metaflow in production
  ☆65Updated last month
• bodywork-ml / bodywork-core
  ML pipeline orchestration and model deployments on Kubernetes.
  ☆434Updated 2 years ago
• boxkite-ml / boxkite
  Concept drift monitoring for HA model servers.
  ☆101Updated 2 years ago
• getindata / kedro-kubeflow
  Kedro Plugin to support running workflows on Kubeflow Pipelines
  ☆56Updated 5 months ago
• zenml-io / mlstacks
  A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
  ☆255Updated last year
• unionai-oss / unionml
  UnionML: the easiest way to build and deploy machine learning microservices
  ☆336Updated 2 years ago
• iterative / gto
  🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.
  ☆155Updated last week
• loglabs / mltrace
  Coarse-grained lineage and tracing for machine learning pipelines.
  ☆470Updated 3 years ago
• Ark-kun / google_cloud_mlflow
  Experimental MLflow plugin for Google Cloud Vertex AI
  ☆38Updated 7 months ago
• machine-learning-apps / actions-ml-cicd
  A Collection of GitHub Actions That Facilitate MLOps
  ☆206Updated 3 years ago
• jacopotagliabue / post-modern-stack
  Joining the modern data stack with the modern ML stack
  ☆201Updated 2 years ago
• artefactory / one-click-mlflow
  A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command
  ☆72Updated 7 months ago
• datarevenue-berlin / OpenMLOps
  ☆707Updated 3 years ago
• aporia-ai / mlops.toys
  🎲 A curated list of MLOps projects, tools and resources
  ☆186Updated last year
• chassisml / chassis
  Chassis turns machine learning models into portable container images that can run just about anywhere.
  ☆86Updated last year
• SeldonIO / tempo
  MLOps Python Library
  ☆120Updated 3 years ago
• adriangonz / mlflow-talk
  End to End example integrating MLFlow and Seldon Core
  ☆52Updated 5 years ago
• flyteorg / flytelab
  Machine Learning Projects with Flytekit
  ☆36Updated 2 years ago
• mlspec / MLSpec
  Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…
  ☆94Updated last year
• clearml / clearml-helm-charts
  Helm chart repository for the new unified way to deploy ClearML on Kubernetes. ClearML - Auto-Magical CI/CD to streamline your AI workloa…
  ☆44Updated 4 months ago
• 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
• tamsanh / kedro-great
  The easiest way to integrate Kedro and Great Expectations
  ☆54Updated 2 years ago
• Minyus / pipelinex
  PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more
  ☆230Updated 2 years ago