About Open Data Analytics Hub (ODAHU)ΒΆ

The ODAHU project is focused on creating system of services, extensions for third party systems and tools which help to accelerate building enterprise level systems with automated AI/ML models life cycle.

Multi ML Frameworks
  • Supporting major ML frameworks: Scikit-learn, Keras, Tensorflow, PyTorch, H2O (and more)
  • Extends MLflow platform with enterprise level features
Multi Infrastructure
  • Kubernetes native system of services
  • Deployment automation to Kubernetes cluster with Helm charts
  • Supporting major Kubernetes platforms: AWS EKS, Azure AKS, GCP GKE, RedHat OpenShift
  • Single sign-on (SSO) based on OAuth2
  • RESTful API secured with SSL
  • Role based access control
  • Users activity audit
  • Credentials and keys manager based on HashiCorp Vault
  • Internal traffic encryption with Istio
Modular and Extensible
  • Services for different ML phases: transform, train, package, deploy, evaluate
  • Services are extensible and manageable via REST APIs, SDK and CLI
  • Functionality can be extended with new services
  • Connectors for data sources
  • Connectors for package repositories
  • Connectors for Docker container registries
  • Plugins for data science IDEs
  • Plugins for workflow engines (like Airflow and others)
  • Systems based on ODAHU can be scaled from small to very large.
  • Scalable ML model training phase
  • Scalable ML model serving phase
  • Pre-build monitoring dashboards
  • Configurable alerting rules
  • Configurable logs collection
  • Compatible with third party logs processing system
  • It is free and open-source with the Apache2 License.
  • Contribution to project is welcome!