apache-airflow-providers-influxdb
Provider package apache-airflow-providers-influxdb for Apache Airflow
Decision gist · record as of 2026-08-14
Yes. If you run Apache Airflow and need to integrate InfluxDB into your data pipelines, this is the standard provider package. Low install friction, active maintenance, permissive license, no known vulnerabilities, and part of the official Airflow ecosystem make it a safe choice. Install only if you actually use InfluxDB; it adds a dependency chain that is unnecessary otherwise.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 already installed.
- Low install friction; pure Python wheel.
- Requires Apache Airflow >=2.11.0 and active maintenance with recent releases.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most deployment contexts.
last release 2026-05-23 (83 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 142,263 downloads/mo, #11,218 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-influxdb
from airflow.providers.influxdb.operators.influxdb import InfluxDBOperator
from airflow import DAG
with DAG('my_dag') as dag:
task = InfluxDBOperator(task_id='write_influxdb', ...)- Specific operators and hooks available beyond basic read/write capability.
- Whether InfluxDB 2.x and 3.x are both fully supported or if there are version-specific limitations.
- Real-world performance characteristics for large time-series workloads.
What it is and what it does
This is an Apache Airflow provider package that extends Airflow with InfluxDB connectivity. It supplies operators and hooks that allow Airflow DAGs to interact with InfluxDB time-series databases—reading metrics, writing observations, or triggering queries as part of data pipelines. The package depends on apache-airflow, influxdb-client, influxdb3-python, and requests, and is maintained as part of the main Apache Airflow project.
Typically used in monitoring and observability workflows where you need Airflow to orchestrate time-series data collection, aggregation, or alerting. Installation is straightforward (pure Python wheel) and the package supports modern Python versions (3.10 through 3.14). It is actively maintained with recent releases and carries no known security vulnerabilities.
Use it for
- Write Airflow task metrics and execution logs to InfluxDB for centralized monitoring.
- Query historical time-series data from InfluxDB as input to downstream Airflow tasks.
- Orchestrate periodic data ingestion pipelines that read from sensors and write to InfluxDB.
- Build alerting workflows that fetch anomalies from InfluxDB and trigger notifications.
- Aggregate metrics from multiple sources and persist them to InfluxDB via Airflow DAGs.
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 InfluxDB into your data pipelines, this is the standard provider package. Low install friction, active maintenance, permissive license, no known vulnerabilities, and part of the official Airflow ecosystem make it a safe choice. Install only if you actually use InfluxDB; it adds a dependency chain that is unnecessary otherwise.
Install
apache-airflow-providers-influxdb on PyPI
Before you install
Low install friction; pure Python wheel. Requires Apache Airflow >=2.11.0 and active maintenance with recent releases.
Requires Apache Airflow >=2.11.0 and Python >=3.10 already installed.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most deployment contexts.
Quickstart
pip install apache-airflow-providers-influxdb
from airflow.providers.influxdb.operators.influxdb import InfluxDBOperator
from airflow import DAG
with DAG('my_dag') as dag:
task = InfluxDBOperator(task_id='write_influxdb', ...)Verify before relying
- Specific operators and hooks available beyond basic read/write capability.
- Whether InfluxDB 2.x and 3.x are both fully supported or if there are version-specific limitations.
- Real-world performance characteristics for large time-series workloads.
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-compatinfluxdb-clientinfluxdb3-pythonrequests |
| Maintenance | Actively maintained 83 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 142,263 / month, #11,218 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_influxdb-2.11.0-py3-none-any.whl
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See also apache-airflow-providers-apache-cassandra · influxdb3-python · influxdb · influxdb-client · apache-airflow-providers-zendesk · apache-airflow-providers-asana · apache-airflow-providers-arangodb · apache-airflow-providers-qdrant · apache-airflow-providers-anomalo · apache-airflow-providers-datadog