apache-airflow-providers-cohere
Provider package apache-airflow-providers-cohere for Apache Airflow
Decision gist · record as of 2026-08-14
Yes, if you run Apache Airflow >=2.11.0 and need to integrate Cohere's APIs into your workflows. The package is actively maintained, carries no known vulnerabilities, uses a permissive Apache-2.0 license, and has low install friction. Install it only if you have an Airflow deployment and an actual use case for Cohere within your orchestration pipelines.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 or later; cohere >=5.13.4 must be installed.
- Low install friction with a pure Python wheel.
- Actively maintained—released 6 days ago with 46490 repository stars.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 license permits commercial and private use with minimal restrictions; suitable for most production environments.
last release 2026-08-08 (6 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 203,340 downloads/mo, #9,631 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-cohere
from airflow.providers.cohere.operators import CohereOperator
from airflow import DAG
with DAG('cohere_workflow') as dag:
task = CohereOperator(task_id='cohere_task')- Which specific Cohere API operations are exposed as Airflow operators, hooks, or sensors.
- Whether authentication to Cohere is handled via environment variables, Airflow connections, or both.
- Performance characteristics and rate-limiting behavior when orchestrating high-volume Cohere requests.
What it is and what it does
This is an Apache Airflow provider package that bridges Airflow's workflow orchestration engine with Cohere's language model services. It exposes Cohere's APIs as Airflow operators, hooks, and sensors, allowing you to build data pipelines that call Cohere as part of larger automated workflows. The package depends on apache-airflow (>=2.11.0), cohere (>=5.13.4), apache-airflow-providers-common-compat, and fastavro for serialization.
You install it alongside an existing Airflow deployment to add Cohere capabilities to your DAGs. It supports Python 3.10, 3.11, 3.12, 3.13, and 3.14, and is actively maintained by the Apache Airflow project. The package is production-stable and carries no known security vulnerabilities.
Use it for
- Build Airflow DAGs that call Cohere APIs as workflow steps within larger data pipelines.
- Orchestrate batch processing of documents through Cohere within Airflow pipelines.
- Chain Cohere API calls with other Airflow tasks to create end-to-end automated workflows.
- Monitor and log Cohere API interactions as part of Airflow's native task execution.
- Integrate Cohere-powered tasks into existing Airflow infrastructure without custom integration code.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you run Apache Airflow >=2.11.0 and need to integrate Cohere's APIs into your workflows.
The package is actively maintained, carries no known vulnerabilities, uses a permissive Apache-2.0 license, and has low install friction. Install it only if you have an Airflow deployment and an actual use case for Cohere within your orchestration pipelines.
Install
apache-airflow-providers-cohere on PyPI
Before you install
Low install friction with a pure Python wheel. Actively maintained—released 6 days ago with 46490 repository stars. Requires Apache Airflow >=2.11.0 and cohere >=5.13.4.
Requires Apache Airflow >=2.11.0 and Python 3.10 or later; cohere >=5.13.4 must be installed.
License in practice
Apache-2.0 license permits commercial and private use with minimal restrictions; suitable for most production environments.
Quickstart
pip install apache-airflow-providers-cohere
from airflow.providers.cohere.operators import CohereOperator
from airflow import DAG
with DAG('cohere_workflow') as dag:
task = CohereOperator(task_id='cohere_task')Verify before relying
- Which specific Cohere API operations are exposed as Airflow operators, hooks, or sensors.
- Whether authentication to Cohere is handled via environment variables, Airflow connections, or both.
- Performance characteristics and rate-limiting behavior when orchestrating high-volume Cohere 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 | 4 packagesapache-airflowapache-airflow-providers-common-compatcoherefastavro |
| Maintenance | Actively maintained 6 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 203,340 / month, #9,631 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_cohere-1.6.7-py3-none-any.whl
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See also apache-airflow-providers-common-ai · apache-airflow-providers-standard · apache-airflow-providers-zendesk · apache-airflow-providers-yandex · apache-airflow-providers-asana · apache-airflow-providers-ftp · apache-airflow-providers-git · apache-airflow-providers-fab · cohere · apache-airflow-providers-apache-hdfs