DataEngineX - Core framework for AI/ML/Data engineering projects
Project description
dataenginex
Unified Data + ML + AI framework. Config-driven, self-hosted, production-ready.
Install
# Core (DuckDB, FastAPI, structlog, Pydantic, Click, Rich)
pip install dataenginex
# With optional extras
pip install dataenginex[dagster] # Dagster orchestration
pip install dataenginex[mlflow] # MLflow experiment tracking
pip install dataenginex[agents] # LangGraph agent runtime
pip install dataenginex[vectors] # Qdrant + LanceDB vector stores
pip install dataenginex[embeddings] # sentence-transformers + ONNX
pip install dataenginex[spark] # PySpark transforms
pip install dataenginex[cloud] # S3 + GCS storage backends
pip install dataenginex[all] # Everything
Submodules
| Module | Requires Extra | Description |
|---|---|---|
dataenginex.config |
— | dex.yaml schema, loader, env var resolution, layering |
dataenginex.core |
— | Exceptions, interfaces (10 Base* ABCs), backend registry |
dataenginex.cli |
— | dex CLI (validate, version, init, serve) |
dataenginex.api |
— | FastAPI app, auth (JWT), health, rate limiting |
dataenginex.data |
— | Connectors, schema registry, profiler |
dataenginex.ml |
— | Training, model registry, serving, drift detection |
dataenginex.middleware |
— | Structured logging, Prometheus metrics, tracing |
dataenginex.lakehouse |
optional [cloud] |
Storage backends (local, S3, GCS), catalog |
dataenginex.warehouse |
— | SQL/Spark transforms, lineage |
dataenginex.plugins |
— | Plugin system (entry-point discovery) |
Quick Usage
# Config system
from dataenginex.config import load_config
cfg = load_config(Path("dex.yaml"))
# Core interfaces + registry
from dataenginex.core.interfaces import BaseConnector
from dataenginex.core.registry import BackendRegistry
# Exceptions
from dataenginex.core.exceptions import DataEngineXError, BackendNotInstalledError
# ML
from dataenginex.ml import ModelRegistry
# CLI
# dex validate dex.yaml
# dex version
Source and Docs
- Repository: https://github.com/TheDataEngineX/DEX
- Documentation: https://docs.thedataenginex.org
- Release notes:
CHANGELOG.md
Project details
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