apache-airflow-providers-slack
Provider package apache-airflow-providers-slack for Apache Airflow
Decision gist · record as of 2026-08-14
Yes, if you run Apache Airflow and need to notify Slack channels from your workflows. The package is production-stable, actively maintained, has no known vulnerabilities, and low install friction. It is the standard way to add Slack integration to Airflow DAGs. Install it only if you have Airflow >=2.11.0 already running and a Slack workspace to connect to.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Apache Airflow >=2.11.0 to be installed first; Slack webhook URL or API token must be configured in Airflow connections.
- Low install friction; pure Python wheel.
- Requires Apache Airflow >=2.11.0 and six runtime dependencies including slack-sdk, aiohttp, and asgiref.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive). Safe for commercial and private use with minimal restrictions; attribution required.
last release 2026-06-22 (53 days) · last repo commit 2026-08-14 · 46,489 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 10,576,884 downloads/mo, #1,445 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-slack
from airflow.providers.slack.operators.slack_webhook import SlackWebhookOperator
from airflow import DAG
with DAG('example') as dag:
task = SlackWebhookOperator(
task_id='notify_slack',
http_conn_id='slack_webhook',
message='Workflow complete'
)- Whether the package supports custom Slack app scopes or only webhook/API token authentication.
- Performance characteristics when sending high-volume notifications or handling rate limits.
- Whether thread replies, message formatting (blocks), or file uploads are supported.
What it is and what it does
This is an Apache Airflow provider package that bridges Airflow workflows and Slack. It adds operators and hooks that let DAG tasks send messages to Slack channels, either through the Slack API directly or via incoming webhooks. The package wraps slack-sdk and handles the integration plumbing, so you can add a single task to your workflow to notify a channel when a job completes, fails, or reaches a milestone.
The package is part of Airflow's official provider ecosystem and is actively maintained. It depends on Apache Airflow >=2.11.0, slack-sdk >=3.36.0, and async utilities (aiohttp, asgiref). It supports Python 3.10 through 3.14 and is classified as production-stable. Installation is straightforward via pip on top of an existing Airflow setup.
Use it for
- Send task completion or failure notifications to a Slack channel as part of a DAG workflow.
- Alert on-call teams immediately when a critical data pipeline fails or requires manual intervention.
- Post workflow summaries or metrics to Slack after batch jobs finish, keeping stakeholders informed.
- Integrate Slack notifications into multi-step orchestration so alerts reach the right channel automatically.
- Use incoming webhooks to send lightweight notifications without managing Slack API tokens in Airflow.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you run Apache Airflow and need to notify Slack channels from your workflows.
The package is production-stable, actively maintained, has no known vulnerabilities, and low install friction. It is the standard way to add Slack integration to Airflow DAGs. Install it only if you have Airflow >=2.11.0 already running and a Slack workspace to connect to.
Install
apache-airflow-providers-slack on PyPI
Before you install
Low install friction; pure Python wheel. Requires Apache Airflow >=2.11.0 and six runtime dependencies including slack-sdk, aiohttp, and asgiref. Actively maintained with recent releases and no known vulnerabilities.
Requires Apache Airflow >=2.11.0 to be installed first; Slack webhook URL or API token must be configured in Airflow connections.
License in practice
Licensed under Apache-2.0 (permissive). Safe for commercial and private use with minimal restrictions; attribution required.
Quickstart
pip install apache-airflow-providers-slack
from airflow.providers.slack.operators.slack_webhook import SlackWebhookOperator
from airflow import DAG
with DAG('example') as dag:
task = SlackWebhookOperator(
task_id='notify_slack',
http_conn_id='slack_webhook',
message='Workflow complete'
)Verify before relying
- Whether the package supports custom Slack app scopes or only webhook/API token authentication.
- Performance characteristics when sending high-volume notifications or handling rate limits.
- Whether thread replies, message formatting (blocks), or file uploads are supported.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesapache-airflowapache-airflow-providers-common-compatapache-airflow-providers-common-sqlslack-sdkaiohttpasgiref |
| Maintenance | Actively maintained 53 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 10,576,884 / month, #1,445 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleEnvironment :: Web EnvironmentFramework :: Apache AirflowFramework :: Apache Airflow :: ProviderIntended Audience :: DevelopersIntended Audience :: System AdministratorsProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: System :: Monitoring |
Evidence: apache_airflow_providers_slack-9.10.2-py3-none-any.whl
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See also apache-airflow-providers-discord · slackweb · slack-sdk · apache-airflow-providers-github · slackclient · apache-airflow-providers-telegram · apache-airflow-providers-http · slack-discovery-sdk · apache-airflow-providers-apprise · apache-airflow-providers-datadog