apache-airflow-providers-samba
Provider package apache-airflow-providers-samba for Apache Airflow
Decision gist · record as of 2026-08-14
Yes, if you run Apache Airflow and need to integrate with Samba/SMB file shares. Low install friction, permissive Apache-2.0 license, no known vulnerabilities, and active maintenance make it a safe choice. Requires apache-airflow >=2.11.0 and Python >=3.10; verify your Airflow version meets the minimum before installing.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires apache-airflow >=2.11.0 and Python >=3.10
- Low install friction; pure Python wheel.
- Actively maintained with recent release 68 days old.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 (permissive); no restrictions on commercial or private use. Safe for most deployment contexts.
last release 2026-06-07 (68 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 478,273 downloads/mo, #6,438 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-samba
from airflow.providers.samba.operators import SambaOperator
from airflow import DAG
with DAG('samba_dag') as dag:
task = SambaOperator(task_id='samba_task')- What specific Airflow operators or hooks this provider exposes for Samba tasks
- Whether it supports authentication methods beyond basic SMB credentials
- Performance characteristics when handling large file transfers over SMB
What it is and what it does
This is an Apache Airflow provider package that bridges Airflow workflows to Samba/SMB file shares. It packages integration logic for the airflow.providers.samba namespace, allowing Airflow DAGs to interact with SMB-compatible network storage. The package requires an existing Airflow installation (>=2.11.0) and depends on smbprotocol for the underlying SMB protocol implementation, plus apache-airflow-providers-common-compat.
The provider is production-stable, actively maintained by the Apache Airflow project, and supports Python versions 3.10, 3.11, 3.12, 3.13, 3.14. It integrates with Airflow's standard operator and hook patterns, making it suitable for data pipelines that need to interact with corporate file servers or network-attached storage exposed via SMB.
Use it for
- Extract files from SMB shares as part of an Airflow data ingestion pipeline
- Write processed data to SMB shares for consumption by other systems or users
- Monitor Samba shares for new files and trigger downstream Airflow tasks
- Orchestrate file operations on network shares within a DAG
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 integrate with Samba/SMB file shares.
Low install friction, permissive Apache-2.0 license, no known vulnerabilities, and active maintenance make it a safe choice. Requires apache-airflow >=2.11.0 and Python >=3.10; verify your Airflow version meets the minimum before installing.
Install
apache-airflow-providers-samba on PyPI
Before you install
Low install friction; pure Python wheel. Actively maintained with recent release 68 days old. Requires apache-airflow >=2.11.0 and smbprotocol >=1.5.0 as runtime dependencies.
Requires apache-airflow >=2.11.0 and Python >=3.10
License in practice
Apache-2.0 (permissive); no restrictions on commercial or private use. Safe for most deployment contexts.
Quickstart
pip install apache-airflow-providers-samba
from airflow.providers.samba.operators import SambaOperator
from airflow import DAG
with DAG('samba_dag') as dag:
task = SambaOperator(task_id='samba_task')
Verify before relying
- What specific Airflow operators or hooks this provider exposes for Samba tasks
- Whether it supports authentication methods beyond basic SMB credentials
- Performance characteristics when handling large file transfers over SMB
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-compatsmbprotocol |
| Maintenance | Actively maintained 68 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 478,273 / month, #6,438 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_samba-4.12.6-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 samba provider”
- apache-airflow-providers-sambaIntegrates Samba file-sharing protocol with Apache Airflow, 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-asana · pysmb · apache-airflow-providers-jenkins · apache-airflow-providers-zendesk · apache-airflow-providers-segment · smbprotocol · apache-airflow-providers-apache-hive · apache-airflow-providers-microsoft-psrp · apache-airflow-providers-neo4j · apache-airflow-providers-openfaas