apache-airflow-providers-grpc
Provider package apache-airflow-providers-grpc for Apache Airflow
Decision gist · record as of 2026-08-14
Yes, if you run Apache Airflow and need to call gRPC services from your workflows. The package is actively maintained, has no known vulnerabilities, low install friction, and permissive licensing. Install only if you have an Airflow >=2.11.0 environment already in place and gRPC endpoints to call.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an existing Apache Airflow >=2.11.0 installation; gRPC service endpoint and credentials must be configured via Airflow connection.
- Low install friction; distributed as a pure-Python wheel.
- Requires Apache Airflow >=2.11.0 and five runtime dependencies including grpcio and google-auth libraries.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license; you can use, modify, and distribute this package freely in commercial and private projects 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) · 481,892 downloads/mo, #6,426 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-grpc
from airflow.providers.grpc.operators.grpc import GrpcOperator
from airflow import DAG
with DAG('example') as dag:
task = GrpcOperator(
task_id='grpc_call',
stub_class='your.module.StubClass',
call_func='method_name',
grpc_conn_id='grpc_default'
)- Whether the package provides both operators and hooks, or only one type of integration
- What authentication methods are supported beyond google-auth
- Whether streaming gRPC calls are supported or only unary requests
What it is and what it does
This is an Apache Airflow provider package that adds gRPC integration to Airflow workflows. It allows you to define tasks that call remote gRPC services as part of your data pipelines. The package depends on Apache Airflow itself, grpcio for the gRPC protocol implementation, and google-auth for credential handling.
You install it on top of an existing Airflow installation to gain access to gRPC operators and hooks. It supports Python 3.10 through 3.14 and is actively maintained by the Apache Airflow project. The package is designed for developers and system administrators who need to orchestrate gRPC-based service calls within Airflow DAGs.
Use it for
- Call microservices that expose gRPC endpoints from within Airflow task workflows
- Integrate with Google Cloud services or other gRPC-based APIs as part of data pipelines
- Orchestrate distributed system tasks that communicate via gRPC protocol
- Build ETL workflows that invoke remote gRPC procedures as intermediate steps
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 call gRPC services from your workflows.
The package is actively maintained, has no known vulnerabilities, low install friction, and permissive licensing. Install only if you have an Airflow >=2.11.0 environment already in place and gRPC endpoints to call.
Install
apache-airflow-providers-grpc on PyPI
Before you install
Low install friction; distributed as a pure-Python wheel. Requires Apache Airflow >=2.11.0 and five runtime dependencies including grpcio and google-auth libraries. Active maintenance with recent release.
Requires an existing Apache Airflow >=2.11.0 installation; gRPC service endpoint and credentials must be configured via Airflow connection.
License in practice
Apache-2.0 permissive license; you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install apache-airflow-providers-grpc
from airflow.providers.grpc.operators.grpc import GrpcOperator
from airflow import DAG
with DAG('example') as dag:
task = GrpcOperator(
task_id='grpc_call',
stub_class='your.module.StubClass',
call_func='method_name',
grpc_conn_id='grpc_default'
)Verify before relying
- Whether the package provides both operators and hooks, or only one type of integration
- What authentication methods are supported beyond google-auth
- Whether streaming gRPC calls are supported or only unary requests
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesapache-airflowapache-airflow-providers-common-compatgoogle-authgoogle-auth-httplib2grpcio |
| Maintenance | Actively maintained 68 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 481,892 / month, #6,426 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_grpc-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 grpc provider”
- apache-airflow-providers-grpcIntegrates gRPC communication into Apache Airflow workflows, enabling…
- 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-segment · apache-airflow-providers-sendgrid · apache-airflow-providers-asana · apache-airflow-providers-zendesk · apache-airflow-providers-openfaas · apache-airflow-providers-microsoft-psrp · apache-airflow-providers-ftp · apache-airflow-providers-standard · apache-airflow-providers-hashicorp · pyone