$npx skillfedfor your agent

apache-airflow-providers-apache-flink

Provider package apache-airflow-providers-apache-flink for Apache Airflow

Worth itPyPI MonitoringReleased Jun 2026344.5K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — apache_airflow_providers_apache_flink-1.8.5-py3-none-any.whl
v1.8.5 · released 2026-06-07 · Python >=3.10 · 4 runtime deps: apache-airflow, apache-airflow-providers-common-compat, cryptography, apache-airflow-providers-cncf-kubernetes

Yes. This is a production-stable, actively maintained provider from the Apache Airflow project with no security vulnerabilities, low install friction, and permissive licensing. Install it if you run Airflow and need to orchestrate Flink workloads; it is the standard integration for that use case.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires an existing Airflow installation (>=2.11.0) and Python 3.10 or later.
  • Low friction installation with a pure-Python wheel.
  • Actively maintained with recent releases; requires Airflow >=2.11.0 and modern Python (3.10+).

License · maintenance · safety

Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions.

last release 2026-06-07 (68 days) · last repo commit 2026-08-14 · 46,490 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 344,473 downloads/mo, #7,373 on PyPI

Verify before relying

pip install apache-airflow-providers-apache-flink

from airflow.providers.apache.flink.operators import FlinkSqlOperator
# Use FlinkSqlOperator in your DAG to submit Flink SQL jobs
  • Specific operators and hooks available in this version beyond what the description excerpt states.
  • Whether Kubernetes integration (via apache-airflow-providers-cncf-kubernetes) is required or optional for typical Flink deployments.
Same gist for agents: .md · .json

What it is and what it does

This is an Apache Airflow provider package that bridges Airflow's workflow orchestration with Apache Flink stream and batch processing. It supplies operators, hooks, and sensors that allow you to define Flink jobs as native Airflow tasks, schedule them alongside other workloads, and monitor their execution within Airflow's UI.

The package depends on core Airflow (>=2.11.0), cryptography for secure credential handling, and optionally the Kubernetes provider for cloud-native Flink deployments. It supports Python 3.10 through 3.14 and is actively maintained by the Apache Airflow project, with no known security vulnerabilities.

Use it for

  • Schedule and monitor Apache Flink SQL or streaming jobs as part of a larger Airflow data pipeline.
  • Integrate Flink batch processing into multi-step ETL workflows orchestrated by Airflow.
  • Deploy Flink jobs on Kubernetes clusters via Airflow, using the optional Kubernetes provider.
  • Manage Flink job dependencies and error handling within Airflow's DAG framework.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

This is a production-stable, actively maintained provider from the Apache Airflow project with no security vulnerabilities, low install friction, and permissive licensing. Install it if you run Airflow and need to orchestrate Flink workloads; it is the standard integration for that use case.

Install

apache-airflow-providers-apache-flink on PyPI

Before you install

Low friction installation with a pure-Python wheel. Actively maintained with recent releases; requires Airflow >=2.11.0 and modern Python (3.10+).

Requires an existing Airflow installation (>=2.11.0) and Python 3.10 or later.

License in practice

Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions.

Quickstart

pip install apache-airflow-providers-apache-flink

from airflow.providers.apache.flink.operators import FlinkSqlOperator
# Use FlinkSqlOperator in your DAG to submit Flink SQL jobs

Verify before relying

  • Specific operators and hooks available in this version beyond what the description excerpt states.
  • Whether Kubernetes integration (via apache-airflow-providers-cncf-kubernetes) is required or optional for typical Flink deployments.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
4 packages
apache-airflowapache-airflow-providers-common-compatcryptographyapache-airflow-providers-cncf-kubernetes
MaintenanceActively maintained 68 days since the last release
Last repo commit
First released
Downloads344,473 / month, #7,373 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone 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_apache_flink-1.8.5-py3-none-any.whl

Tags

Capabilities
airflow flink integrationorchestrate flink jobsairflow provider flinkflink task operator airflowflink workflow scheduling
Topics
airflow-providerflink-integrationworkflow-orchestration
PyPI keywords
airflow-providerapache.flinkairflowintegration

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 flink integration”

Give your agent the search over MCP, or paste the wish link into any chat.

More Monitoring packages

tqdm Worth it
PyPI · Libraries · released Jul 2026

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.

copyleftpure Python · 3.8+
648.6Mdownloads / mo
opentelemetry-semantic-conventions Worth it
PyPI · Monitoring · released Jul 2026

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.

Apache-2.0pure Python · 3.10+
542.9Mdownloads / mo
opentelemetry-sdk Worth it
PyPI · Monitoring · released Jul 2026

Provides the reference implementation of the OpenTelemetry API for collecting and exporting traces, metrics, and logs from Python applications.

Apache-2.0pure Python · 3.10+
521.8Mdownloads / mo
opentelemetry-api With conditions
PyPI · Monitoring · released Jul 2026

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.

Apache-2.0pure Python · 3.10+
463.8Mdownloads / mo
opentelemetry-exporter-otlp-proto-http Worth it
PyPI · Monitoring · released Jul 2026

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.

Apache-2.0pure Python · 3.10+
409.9Mdownloads / mo
opentelemetry-instrumentation Worth it
PyPI · Monitoring · released Jul 2026

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.

Apache-2.0pure Python · 3.10+
393.5Mdownloads / mo

See also apache-airflow-providers-airbyte · apache-airflow-providers-apache-spark · apache-airflow-providers-cncf-kubernetes · apache-airflow-providers-github · apache-airflow-providers-jenkins · apache-airflow-providers-apache-kylin · apache-airflow-providers-apache-pig · apache-airflow-providers-celery · apache-flink-libraries · apache-airflow-providers-openfaas