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  • Hydrosphere
  • 🌊About Hydrosphere
    • Overview
    • Concepts
    • Platform Architecture
      • Serving
      • Monitoring
      • Interpretability
    • Key Features
      • Model Registry
      • Inference Pipelines
      • A/B Model Deployments
      • Traffic Shadowing
      • Language-Agnostic
      • Automatic Outlier Detection
      • Data Drift Report
      • Monitoring Dashboard
      • Alerts
      • Prediction Explanation
      • Data Projection
      • Kubeflow Components
      • AWS Sagemaker
  • 🏄Quickstart
    • Installation
      • CLI
      • Python SDK
      • Configuring Helm charts
    • Getting Started
    • Tutorials
      • A/B Analysis for a Recommendation Model
      • Using Deployment Configurations
      • Train & Deploy Census Income Classification Model
      • Monitoring Anomalies with a Custom Metric
      • Monitoring External Models
    • How-To
      • Invoke applications
      • Write definitions
      • Develop runtimes
      • Use private pip repositories
  • 💧Resources
    • Troubleshooting
    • Reference
      • Libraries
      • Runtimes
    • Contribution
      • Contributing Pull Requests
  • Advanced
    • AWS infrastructure
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On this page
  • Python
  • Scala
  • Java
  • Protobuf

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  1. Resources
  2. Reference

Libraries

Hydrosphere exposes libraries that can be used to interact with services. We use these libraries internally, but you can also use them to implement integrations.

Python

Protobuf compiled messages and services: https://pypi.org/project/hydro-serving-grpc/ Software Development Kit: https://pypi.org/project/hydrosdk/ Command Line Interface: https://pypi.org/project/hs/

Scala

Protobuf compiled messages and services: https://search.maven.org/search?q=a:serving-grpc-scala_2.13

Java

Protobuf compiled messages and services: https://search.maven.org/search?q=a:serving-grpc-java-11

Protobuf

API and entities: https://github.com/Hydrospheredata/hydro-serving-protos

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Last updated 3 years ago

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