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Concepts

Deep dive into Truthound's architecture, design principles, and technical foundations.

Architecture

Architecture Overview

Understand Truthound's internal design:

  • Core design principles
  • Module structure
  • Data flow architecture
  • Extension points
  • Performance architecture

Data Sources Architecture

Technical deep dive into multi-backend support:

  • DataSource protocol
  • Execution engine abstraction
  • Query pushdown optimization
  • Connection pooling
  • Error handling strategies

Advanced Features

Advanced Features (ML, Lineage, Realtime)

Enterprise-grade capabilities:

  • ML-based anomaly detection
  • Data drift detection
  • Data lineage tracking
  • Real-time streaming validation
  • Model monitoring

Plugin Architecture

Extend Truthound with custom functionality:

  • Plugin system design
  • Security sandbox
  • Code signing
  • Version constraints
  • Hot reload support

Technical Reference

Statistical Methods

Mathematical foundations for data quality:

  • Kolmogorov-Smirnov test
  • Chi-squared test
  • Population Stability Index (PSI)
  • Jensen-Shannon divergence
  • Anomaly detection algorithms

Test Coverage

Quality assurance practices:

  • Test suite overview
  • Coverage metrics
  • Testing strategies
  • CI/CD test integration

Concept Map

┌─────────────────────────────────────────────────────────────────┐
│                        Truthound Core                            │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│  ┌──────────────┐    ┌──────────────┐    ┌──────────────┐       │
│  │  Validators  │    │  Profiler    │    │  Reporters   │       │
│  │  (289 types) │    │  (Auto-gen)  │    │  (5 formats) │       │
│  └──────┬───────┘    └──────┬───────┘    └──────┬───────┘       │
│         │                   │                   │                │
│         └───────────────────┼───────────────────┘                │
│                             │                                    │
│                    ┌────────▼────────┐                          │
│                    │   Core Engine   │                          │
│                    │  (Polars-based) │                          │
│                    └────────┬────────┘                          │
│                             │                                    │
│         ┌───────────────────┼───────────────────┐               │
│         │                   │                   │                │
│  ┌──────▼───────┐    ┌──────▼───────┐    ┌──────▼───────┐       │
│  │ Data Sources │    │    Stores    │    │   Plugins    │       │
│  │ (12 backends)│    │ (5 backends) │    │  (Extensible)│       │
│  └──────────────┘    └──────────────┘    └──────────────┘       │
│                                                                  │
├─────────────────────────────────────────────────────────────────┤
│                     Advanced Modules                             │
├─────────────────────────────────────────────────────────────────┤
│  ┌──────────────┐    ┌──────────────┐    ┌──────────────┐       │
│  │  ML Module   │    │   Lineage    │    │   Realtime   │       │
│  │  (Anomaly,   │    │  (Tracking,  │    │  (Kafka,     │       │
│  │   Drift)     │    │   OpenLineage│    │   Kinesis)   │       │
│  └──────────────┘    └──────────────┘    └──────────────┘       │
└─────────────────────────────────────────────────────────────────┘
Concept Document
System design Architecture
Data backends DataSources Architecture
ML & Lineage Advanced Features
Extensibility Plugin Architecture
Statistics Statistical Methods