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Pre-alpha software: Dyff is research code in a pre-alpha state. It is published without warranty, is subject to change at any time, and has not been certified, tested, assessed, or otherwise assured of safety by any person or organization. Use at your own risk.

Dyff
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Dyff

Getting started

  • Installation
  • Connect
  • Tutorial
    • Create a Dataset
    • Data schemas
    • Inference – Models, Services, and Sessions
    • Run an Evaluation
    • Analyze evaluation results
    • Create a safety case
  • Dyff Cloud Tutorial
    • Organizing and querying resources
    • Grouping by UseCase and other concerns
    • Bulk requests
    • Integrating with the Dyff Web App
    • Advanced Inference Service Usage

Deploy

  • Local cluster
    • Set up the cluster host
    • Set up the cluster
    • Validate the cluster
    • Kick the tires
  • Production cluster
    • Cloud resources
      • Service accounts
      • Network
      • Cluster
      • Storage
    • Cluster resources
      • Storage
      • Kafka
      • MongoDB
      • Ingress
    • Dyff platform
      • dyff-api
      • dyff-frontend
      • dyff-orchestrator
      • dyff-operator
      • workflows-aggregator
      • workflows-informer
      • workflows-sink
  • Account management

About

  • Design
  • Security
    • Role-based access control (RBAC)
  • Storage
    • Kafka
  • Testing
  • Workflow status
  • dyff-operator

Reference

  • Python SDK
    • dyff
    • dyff.audit
      • Analysis workflows
      • Local development
      • Utilities
    • dyff.client
    • dyff.schema
      • Platform types
      • Request Types
      • Status flags
      • Schema adapters
      • Utilities
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Python SDK¶

The Dyff Python SDK consists of several packages that can be used independently. The dyff meta-package installs compatible versions of all of the SDK packages.

  • dyff
  • dyff.audit
    • Installation
  • dyff.client
    • Installation
    • Configuration
    • Conventions
    • Reference
  • dyff.schema
    • Installation
    • Pydantic models
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