ghostdq 0.1.2

GhostDQ SDK: compute data-quality metrics locally and ship them to GhostDQ.

ghostdq — Python SDK

The GhostDQ SDK lets you compute data-quality metrics locally and ship only the aggregated numbers to the GhostDQ cloud — your raw data never leaves your infrastructure.

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Install

pip install ghostdq

Optional extras (Avro support requires fastavro, Parquet requires pyarrow — both are included in the core install):

pip install "ghostdq[dev]"   # adds pytest, ruff, mypy, stubs

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Quick start

from ghostdq import read_file, parse_contract, compute_metrics, GhostDQClient

# 1. Load your data
df = read_file("sales_2024.parquet")   # .csv / .parquet / .avro

# 2. Parse the contract (or fetch it from the API — see below)
contract = parse_contract(open("sales_contract.yaml").read())

# 3. Compute metrics *locally* — no raw data leaves your machine
metrics = compute_metrics(df, contract.rules)
# → {"row_count": 120000, "null_rate:country": 0.02, ...}

# 4. Ship the metrics to GhostDQ
client = GhostDQClient(
    api_key="ghd_your_key",
    ingest_url="https://ingest.ghostdq.io",
)
result = client.create_run(dataset_id="<dataset-uuid>", metrics=metrics)
print(result.run_id, result.status)  # ⇒ <uuid>  pending

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CLI

# Validate a file against a local contract
ghostdq run \
  --dataset-id <uuid> \
  --file sales.csv \
  --contract contract.yaml \
  --api-key ghd_xxx \
  --ingest-url https://ingest.ghostdq.io

# Fetch the contract automatically from the API
ghostdq run \
  --dataset-id <uuid> \
  --file sales.parquet \
  --api-key ghd_xxx \
  --ingest-url https://ingest.ghostdq.io

Environment variable shortcuts:

export GHOSTDQ_API_KEY=ghd_xxx
export GHOSTDQ_INGEST_URL=https://ingest.ghostdq.io
ghostdq run --dataset-id <uuid> --file sales.csv

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Supported file formats

Format	Extension	Engine
CSV	.csv	pandas
Parquet	.parquet	pyarrow
Avro	.avro	fastavro

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Supported rule types

Rule	Metric key(s)
row_count	row_count
null_rate	null_rate:{column}
unique	duplicate_count:{column}
value_range	value_min:{column}, value_max:{column}
allowed_values	disallowed_count:{column}

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Local development

Requires Python 3.10+ (3.13 recommended). From the repo root:

python3.13 -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
pytest tests
ruff check src tests
mypy src tests --ignore-missing-imports

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License & disclaimer

Licensed under Apache License 2.0.

This software is provided “as is”, without warranty of any kind. You are responsible for evaluating whether it fits your use case and for any outcomes from using it. See the LICENSE for the full terms, including limitations of liability.