Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

DataHub Prefect Plugin

Automatic lineage and run metadata from Prefect into DataHub — captures flow structure, task inputs/outputs, and run history with minimal setup.

What you can do

  • Emit flow and task metadata to DataHub as pipeline runs
  • Capture dataset lineage — declare inputs and outputs per task and see them in DataHub
  • Configure via Prefect blocks — store your DataHub connection settings as a reusable block
  • Works with any DataHub deployment — self-hosted or DataHub Cloud

Installation

pip install prefect-datahub

Quickstart

1. Save your DataHub connection as a Prefect block

from prefect_datahub.datahub_emitter import DatahubEmitter

DatahubEmitter(
    datahub_rest_url="http://localhost:8080",
    env="PROD",
).save("my-datahub")

2. Use it in your flows

from prefect import flow, task
from prefect_datahub.datahub_emitter import DatahubEmitter
from prefect_datahub.entities import Dataset

emitter = DatahubEmitter.load("my-datahub")

@task
def transform(data, emitter):
    emitter.add_task(
        inputs=[Dataset("snowflake", "mydb.schema.source_table")],
        outputs=[Dataset("snowflake", "mydb.schema.output_table")],
    )
    return data

@flow
def my_pipeline():
    data = extract()
    transform(data, emitter)
    emitter.emit_flow()   # required — emits all metadata at the end

Configuration options

Option Default Description
datahub_rest_url http://localhost:8080 DataHub GMS URL
env PROD Environment tag for assets
platform_instance None Platform instance for assets
token None Auth token (if GMS auth is enabled)

Links

Metadata

Release files for prefect-datahub 1.7.0.10rc1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for prefect-datahub 1.7.0.10rc1
File Size Uploaded
prefect_datahub-1.7.0.10rc1.tar.gz 13.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for prefect-datahub 1.7.0.10rc1
File Interpreter ABI Platform
prefect_datahub-1.7.0.10rc1-py3-none-any.whl Python 3 none any Details

Total release size: 25.6 kB

Release files / prefect_datahub-1.7.0.10rc1.tar.gz

Download URL prefect_datahub-1.7.0.10rc1.tar.gz
Size 13.7 kB
Tags Source
SHA-256 checksum
How to use checksums
641dcc8d13f24b806b3b986531e75faf0dbe406b9b8af3482db562ad26084b33
BLAKE2b-256 checksum
How to use checksums
5b92320474ddbd76d6219e88902089d31793851fe011b91a201663efcf9b83d3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.10.21

Release files / prefect_datahub-1.7.0.10rc1-py3-none-any.whl

Download URL prefect_datahub-1.7.0.10rc1-py3-none-any.whl
Size 11.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7dfadc462ee113b5406cc955dc3a6f70afe4caf5761588767b20fa992d713226
BLAKE2b-256 checksum
How to use checksums
dc69cd385f9915436b2d6e8407ae8d0b84c0a1cc4ba8427cb05f91b80712233e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.10.21

Release history Release notifications | RSS feed

15.0.4

2 release files

This release

1.7.0.10rc1 This release

2 release files

1.7.0

2 release files

1.6.0

2 release files

1.5.0

2 release files

1.4.0

2 release files

1.3.1

2 release files

1.3.0

2 release files

1.2.0

2 release files

1.1.0

2 release files

1.0.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page