dataenginex 0.6.0

DataEngineX - Core framework for data engineering projects

dataenginex

dataenginex is the core DataEngineX framework package for building observable, production-ready data and API services.

It provides:

• FastAPI application primitives and API extensions
• Middleware for structured logging, metrics, and tracing
• Data quality and validation utilities
• Lakehouse and warehouse building blocks (S3, GCS, BigQuery, Parquet)
• Reusable ML support modules for model-serving workflows

Install

# Core (no web framework dependencies)
pip install dataenginex

# With FastAPI, middleware, auth, health checks
pip install dataenginex[api]

# With cloud storage backends
pip install dataenginex[s3]        # AWS S3 via boto3
pip install dataenginex[gcs]       # Google Cloud Storage
pip install dataenginex[bq]        # Google BigQuery
pip install dataenginex[cloud]     # All cloud storage (S3 + GCS)

# Everything
pip install dataenginex[all]

Package Scope

dataenginex is the core library from the DEX monorepo. It is the only published package — applications and examples are built on top of it.

Submodules

Module	Requires Extra	Description
dataenginex.core	—	Medallion architecture, schemas, quality gates, validators
dataenginex.data	—	Schema registry, data contracts, catalog
dataenginex.lakehouse	optional [s3] [gcs] [bq]	Storage backends (JSON, Parquet, S3, GCS, BigQuery), catalog, partitioning
dataenginex.warehouse	—	Warehouse layers, lineage tracking
dataenginex.ml	—	Model registry, vectorstore, LLM adapters, drift detection
dataenginex.api	[api]	Auth (JWT), health checks, error handling, pagination, rate limiting
dataenginex.middleware	[api]	Structured logging, Prometheus metrics, OpenTelemetry tracing

Quick Usage

# Core — always available
from dataenginex.core import MedallionArchitecture, QualityGate
from dataenginex.data import SchemaRegistry
from dataenginex.ml import ModelRegistry

# API — requires pip install dataenginex[api]
from dataenginex.api import HealthChecker, AuthMiddleware, paginate
from dataenginex.middleware import configure_logging, configure_tracing

# Storage — requires the relevant extra
from dataenginex.lakehouse import JsonStorage, get_storage
storage = get_storage("file://./data")       # always works
storage = get_storage("s3://my-bucket")      # requires [s3]
storage = get_storage("gs://my-bucket")      # requires [gcs]
storage = get_storage("bq://my-project/ds")  # requires [bq]

Source and Docs

• Repository: https://github.com/TheDataEngineX/DEX
• CI/CD guide: docs/CI_CD.md
• Release notes: src/dataenginex/RELEASE_NOTES.md