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airflow-provider-paradime-dbt

library1.1.0pypypiunverified

An Apache Airflow provider that enables interaction with Paradime's Bolt scheduler and management APIs to run and manage dbt jobs in production. Current version is 1.1.0, with a monthly release cadence.

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pip install airflow-provider-paradime-dbt

github ↗package ↗homepage ↗

INSTALL

IMPORT

SIG · AIRFLOW-PROVIDER-P

airflow-provider-paradime-dbt

workflowpythonv1.1.0

Install

22.9s avg

Import

—

Disk

250MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v1.1.0 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.000s · 250.8MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 22.9s · import 0.000s · 248MB

250MB installed

● package 250MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

ParadimeBoltDbtRunOperator

✓ from paradime_dbt_provider.operators.bolt_dbt_run import ParadimeBoltDbtRunOperator

✗ from paradime_provider.operators.bolt_dbt_run import ParadimeBoltDbtRunOperator

Creates a simple DAG that triggers a dbt run via Paradime Bolt.

from datetime import datetime from airflow import DAG from paradime_provider.operators.bolt_dbt_run import ParadimeBoltDbtRunOperator default_args = { 'start_date': datetime(2023, 1, 1), } dag = DAG( 'paradime_dbt_run', default_args=default_args, schedule_interval=None, catchup=False, ) run_task = ParadimeBoltDbtRunOperator( task_id='run_dbt_job', paradime_conn_id='paradime_default', dag=dag, )

Debug

Known issues

gotchaThe connection ID must be configured in Airflow with a 'paradime' connection type. The default is 'paradime_default'.

fix

In Airflow UI, go to Admin > Connections, add a connection with Conn Type 'paradime', and fill in your Paradime API key and secret.

affects: all

gotchaOperator names have changed in version 1.0.4. 'ParadimeBoltDbtScheduleRunOperator' now supports overriding dbt commands via the `override_dbt_command` parameter.

fix

Use the `override_dbt_command` parameter if you need custom dbt commands.

affects: >=1.0.4

breakingVersion 1.0.0 introduced breaking changes as initial release. No prior versions exist.

fix

Ensure you are using the correct import paths: `paradime_provider` instead of any alternative.

affects: >=1.0.0

Upgrade

Version history

1.1.0latest on PyPI · released Apr 22, 2025

Audit

Dependencies

apache-airflowrequiredCore dependency for Airflow providers

Agent activity

62 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/paradime-io/airflow-provider-paradime-dbt ↗

packagehttps://pypi.org/project/airflow-provider-paradime-dbt/ ↗

homepagehttps://paradime.io ↗