apache-airflow-providers-dingding
Provider package apache-airflow-providers-dingding for Apache Airflow
Decision gist · record as of 2026-08-14
Yes, if you run Airflow and use DingTalk for team communication. The package is actively maintained, carries no security vulnerabilities, installs with low friction, and is licensed permissively. It is a straightforward way to add DingTalk notifications to Airflow workflows without writing custom integrations.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an existing Airflow installation (>=2.11.0) and a configured DingTalk connection in Airflow's connection store.
- Low friction installation as a pure-Python wheel.
- Actively maintained by Apache with recent releases; requires Airflow >=2.11.0 and runs on Python 3.10–3.14.
License · maintenance · safety
Apache-2.0 (permissive) — Apache License 2.0 (permissive) allows use in commercial and open-source projects with minimal restrictions; attribution required.
last release 2026-06-07 (68 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 200,567 downloads/mo, #9,690 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-dingding
from airflow.providers.dingding.operators.dingding import DingDingOperator
task = DingDingOperator(
task_id='notify_dingtalk',
dingding_conn_id='dingtalk_default',
message_type='text',
message='Workflow complete'
)- Specific operators, hooks, or sensors provided beyond basic notification capability.
- Whether DingTalk connection setup and authentication details are documented in the provider package.
What it is and what it does
This is an Apache Airflow provider package that adds DingTalk integration to Airflow workflows. It allows DAG tasks to send notifications and messages to DingTalk channels, enabling real-time alerting and communication for workflow events. The package is maintained as part of the official Apache Airflow ecosystem and depends on apache-airflow, apache-airflow-providers-common-compat, and apache-airflow-providers-http.
As a provider package, it extends Airflow's operator and hook ecosystem with DingTalk-specific components. Installation is straightforward on top of an existing Airflow setup, and it supports modern Python versions (3.10–3.14). The package is actively maintained and carries no known security vulnerabilities.
Use it for
- Send task completion or failure notifications to DingTalk channels from Airflow DAGs.
- Alert on-call teams via DingTalk when critical workflow steps complete or encounter errors.
- Integrate DingTalk messaging into multi-step Airflow pipelines for real-time team communication.
- Notify stakeholders of data pipeline milestones through DingTalk without custom HTTP code.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you run Airflow and use DingTalk for team communication.
The package is actively maintained, carries no security vulnerabilities, installs with low friction, and is licensed permissively. It is a straightforward way to add DingTalk notifications to Airflow workflows without writing custom integrations.
Install
apache-airflow-providers-dingding on PyPI
Before you install
Low friction installation as a pure-Python wheel. Actively maintained by Apache with recent releases; requires Airflow >=2.11.0 and runs on Python 3.10–3.14.
Requires an existing Airflow installation (>=2.11.0) and a configured DingTalk connection in Airflow's connection store.
License in practice
Apache License 2.0 (permissive) allows use in commercial and open-source projects with minimal restrictions; attribution required.
Quickstart
pip install apache-airflow-providers-dingding
from airflow.providers.dingding.operators.dingding import DingDingOperator
task = DingDingOperator(
task_id='notify_dingtalk',
dingding_conn_id='dingtalk_default',
message_type='text',
message='Workflow complete'
)Verify before relying
- Specific operators, hooks, or sensors provided beyond basic notification capability.
- Whether DingTalk connection setup and authentication details are documented in the provider package.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesapache-airflowapache-airflow-providers-common-compatapache-airflow-providers-http |
| Maintenance | Actively maintained 68 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 200,567 / month, #9,690 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_dingding-3.9.5-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “airflow dingding provider”
- apache-airflow-providers-dingdingIntegrates Apache Airflow with DingTalk, enabling workflow…
- apache-airflow-providers-common-ioProvides common I/O utilities and operators for Apache Airflow…
- apache-airflow-providers-sqliteIntegrates SQLite databases with Apache Airflow as a provider…
Give your agent the search over MCP, or paste the wish link into any chat.
More Monitoring packages
Wraps any iterable to display a real-time progress bar in the terminal or Jupyter notebook, showing iteration count, elapsed time, and estimated time remaining.
Provides generated Python code for OpenTelemetry semantic conventions, enabling standardized attribute naming and constant definitions for instrumentation and telemetry collection.
Install it if you are using OpenTelemetry and want to follow semantic conventions correctly.
Provides the reference implementation of the OpenTelemetry API for collecting and exporting traces, metrics, and logs from Python applications.
Provides the abstract API and interfaces for OpenTelemetry instrumentation in Python, defining how to emit traces, metrics, and logs without tying code to a specific SDK implementation.
Exports OpenTelemetry observability data to an OpenTelemetry Collector using Protobuf-encoded messages over HTTP.
Install it if you are using OpenTelemetry in Python and need to send data to a Collector over HTTP.
Provides automatic instrumentation commands and programmatic APIs to inject distributed tracing into Python applications without code changes, detecting and instrumenting packages used by your program.
Install it if you need distributed tracing without code changes and have compatible instrumented packages in your environment.
See also apache-airflow-providers-discord · dingtalk-stream · apache-airflow-providers-apprise · apache-airflow-providers-pagerduty · apache-airflow-providers-segment · apache-airflow-providers-datadog · apache-airflow-providers-informatica · apache-airflow-providers-apache-cassandra · apache-airflow-providers-telegram · apache-airflow-providers-facebook