---
id: acceldata-sdk
version: "26.8.0"
license: MIT
license_treatment: permissive
maintenance: active
---

# acceldata-sdk — Acceldata SDK

License: permissive · Maintenance: active · Downloads: 254.1K/mo

## What it is and what it does

Acceldata SDK is a Python client library for integrating with Acceldata's ADOC (Acceldata's data observability architecture). It provides instrumentation hooks to send data quality and observability signals to the Acceldata platform. The package is built as a pure Python wheel with minimal dependencies—just requests, requests-toolbelt, semantic-version, and the standard library's dataclasses and typing modules—making it lightweight to install and deploy.

The SDK is actively maintained (latest release 26.8.0, 6 days old) and classified as production-stable. It targets modern Python (3.7+) and is distributed under the MIT license. The exact instrumentation patterns and API surface are documented in the Acceldata Python documentation, which you should consult before integrating to understand whether it fits your data observability workflow.

Use it for:

- Instrument Python data pipelines to send quality metrics to an Acceldata deployment.
- Integrate data lineage and observability signals into ADOC-based monitoring workflows.
- Monitor data quality and governance compliance in applications connected to Acceldata infrastructure.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Acceldata SDK provides Python instrumentation support for ADOC (Acceldata's architecture framework), enabling integration with Acceldata's data observability platform.

Yes, if you are using Acceldata's data observability platform and need Python instrumentation support. The package has low install friction, active maintenance, and a permissive license. However, verify first that your environment has an Acceldata backend and that the SDK's API aligns with your instrumentation needs—the fact sheet does not detail the specific capabilities or whether standalone use is supported.

## Install

pip install acceldata-sdk
uv add acceldata-sdk
poetry add acceldata-sdk

## Installing acceldata-sdk

Before you install: Low install friction with a pure-wheel distribution and five lightweight runtime dependencies. Active maintenance status with a release 6 days old.

License in practice: MIT license permits commercial and private use with minimal restrictions; suitable for most deployment contexts.

Quickstart:

pip install acceldata-sdk
import acceldata_sdk
# Refer to https://docs.acceldata.io/documentation/python for instrumentation examples

Requires Python 3.7 or later.

Verify before relying:

- What specific ADOC instrumentation capabilities the SDK exposes and whether it requires Acceldata backend infrastructure.
- Whether the SDK is suitable for standalone use or requires an active Acceldata account/deployment.

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 254.1K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

acceldata instrumentation, data observability sdk, adoc integration python, acceldata python client, data quality monitoring sdk, data-observability, instrumentation

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