apache-airflow-providers-segment
Provider package apache-airflow-providers-segment for Apache Airflow
Decision gist · record as of 2026-08-14
Yes. This is a production-stable, actively maintained provider with no known vulnerabilities, low install friction, and permissive licensing. Install it if you run Airflow >=2.11.0 and need to integrate workflows with Segment; otherwise, it adds no value.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Apache Airflow >=2.11.0 and segment-analytics-python >=2.3.0 to be installed; Segment API credentials must be configured.
- Low friction installation.
- Actively maintained with recent release (68 days old) and no known vulnerabilities.
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 2026-06-07 (68 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 216,633 downloads/mo, #9,374 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-segment
from airflow.providers.segment.operators import SegmentTrackEventOperator
task = SegmentTrackEventOperator(
task_id='send_event',
event='workflow_completed',
properties={'status': 'success'}
)- Specific operator classes and their full API surface available in this version.
- Whether Segment connection configuration is pre-built or requires manual setup in Airflow.
- Support for Segment-specific features like batching, retries, or custom event schemas.
What it is and what it does
This is an Apache Airflow provider package that bridges Airflow workflows to Segment, a customer data platform. It allows Airflow DAGs to send events, track user actions, and push analytics data directly to Segment for downstream processing, enrichment, and activation. The package is built on top of apache-airflow and segment-analytics-python, providing Airflow-native operators and hooks for Segment integration.
The package is production-stable (Development Status 5) and actively maintained by the Apache Airflow project. It supports modern Python versions and integrates seamlessly into existing Airflow deployments with low installation friction. Use it when you need to emit analytics events from data pipelines or orchestrate Segment-based workflows within Airflow.
Use it for
- Send pipeline completion events to Segment for monitoring and alerting on data workflow health.
- Track data quality checks and validation results as analytics events in your CDP.
- Orchestrate Segment audience syncs or activation workflows triggered by Airflow DAGs.
- Log ETL job metrics and performance data to Segment for analytics and BI integration.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a production-stable, actively maintained provider with no known vulnerabilities, low install friction, and permissive licensing. Install it if you run Airflow >=2.11.0 and need to integrate workflows with Segment; otherwise, it adds no value.
Install
apache-airflow-providers-segment on PyPI
Before you install
Low friction installation. Actively maintained with recent release (68 days old) and no known vulnerabilities. Requires Apache Airflow >=2.11.0 and supports current Python versions (3.10–3.14).
Requires Apache Airflow >=2.11.0 and segment-analytics-python >=2.3.0 to be installed; Segment API credentials must be configured.
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-segment
from airflow.providers.segment.operators import SegmentTrackEventOperator
task = SegmentTrackEventOperator(
task_id='send_event',
event='workflow_completed',
properties={'status': 'success'}
)Verify before relying
- Specific operator classes and their full API surface available in this version.
- Whether Segment connection configuration is pre-built or requires manual setup in Airflow.
- Support for Segment-specific features like batching, retries, or custom event schemas.
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-compatsegment-analytics-python |
| Maintenance | Actively maintained 68 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 216,633 / month, #9,374 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_segment-3.9.5-py3-none-any.whl
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See also apache-airflow-providers-apache-kylin · apache-airflow-providers-datadog · apache-airflow-providers-facebook · apache-airflow-providers-grpc · apache-airflow-providers-jenkins · apache-airflow-providers-samba · segment-analytics-python · apache-airflow-providers-dingding · apache-airflow-providers-asana · apache-airflow-providers-microsoft-psrp