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new feddda3 Alphabetize tools (#294)
feddda3 is described below
commit feddda36b42c40e85cab74ce0eacdca240590eea
Author: Ry Walker <[email protected]>
AuthorDate: Sat Oct 3 05:37:27 2020 -0400
Alphabetize tools (#294)
---
landing-pages/site/content/en/ecosystem/_index.md | 38 +++++++++++------------
1 file changed, 19 insertions(+), 19 deletions(-)
diff --git a/landing-pages/site/content/en/ecosystem/_index.md
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--- a/landing-pages/site/content/en/ecosystem/_index.md
+++ b/landing-pages/site/content/en/ecosystem/_index.md
@@ -43,40 +43,40 @@ If you would you like to be included on this page, please
reach out to the [Apac
## Tools integrating with Airflow
-[GeniumCloud](https://geniumcloud.com) - One-Stop-Shop Platform for rapid
build, scheduling and control Airflow workflows via completely new UI. Out of
the box comprehensive Airflow infrastructure monitoring, integration with
alerting systems and service adoption from small to enterprise organizations.
The easiest way to manage complex workflows.
-
-[Oozie to Airflow](https://github.com/GoogleCloudPlatform/oozie-to-airflow) -
A tool to easily convert between [Apache Oozie](http://oozie.apache.org/)
workflows and Apache Airflow workflows.
-
-[CWL-Airflow](https://github.com/Barski-lab/cwl-airflow) - Python package to
extend Apache-Airflow 1.10.11 functionality with CWL v1.2 support.
+[afctl](https://github.com/qubole/afctl) - A CLI tool that includes everything
required to create, manage and deploy airflow projects faster and smoother.
-[Databand](https://databand.ai/) - Observability platform built on top of
Airflow.
+[airflow-code-editor](https://github.com/andreax79/airflow-code-editor) - A
plugin for Apache Airflow that allows you to edit DAGs in browser.
-[Chartis](https://github.com/trejas/chartis) - Python package to convert
Common Workflow Language (CWL) into Airflow DAG.
+[airflow-diagrams](https://github.com/feluelle/airflow-diagrams) -
Auto-generated Diagrams from Airflow DAGs
-[dbt (data build tool)](https://docs.getdbt.com/) - Data transformation tool,
[dbt jobs can be scheduled using
Airflow](https://docs.getdbt.com/docs/running-a-dbt-project/running-dbt-in-production/#using-airflow).
+[airflow-maintenance-dags](https://github.com/teamclairvoyant/airflow-maintenance-dags)
- [Clairvoyant](https://clairvoyantsoft.com/) has a repo of Airflow DAGs that
operator on Airflow itself, clearing out various bits of the backing metadata
store.
-[Airflow plugins](https://github.com/airflow-plugins/) - Central collection of
repositories of various plugins for Airflow, including mailchimp, trello, sftp,
GitHub, etc.
+[AirflowK8sDebugger](https://github.com/Javier162380/AirflowKuberentesDebugger)
- A library for generate k8s pod yaml templates from an Airflow dag using the
KubernetesPodOperator.
-[airflow-maintenance-dags](https://github.com/teamclairvoyant/airflow-maintenance-dags)
- [Clairvoyant](https://clairvoyantsoft.com/) has a repo of Airflow DAGs that
operator on Airflow itself, clearing out various bits of the backing metadata
store.
+[Airflow Ditto](https://github.com/angadsingh/airflow-ditto) - An extensible
framework to do transformations to an Airflow DAG and convert it into another
DAG which is flow-isomorphic with the original DAG, to be able to run it on
different environments (e.g. on different clouds, or even different container
frameworks - Apache Spark on YARN vs Kubernetes). Comes with out-of-the-box
support for EMR-to-HDInsight-DAG transforms.
-[whirl](https://github.com/godatadriven/whirl) - Fast iterative local
development and testing of Apache Airflow workflows.
+[Airflow ECR Plugin](https://github.com/asandeep/airflow-ecr-plugin) - Plugin
to refresh AWS ECR login token at regular intervals. This is helpful where
DockerOperator needs to pull images hosted on ECR.
-[dag-factory](https://github.com/ajbosco/dag-factory) - A library for
dynamically generating Apache Airflow DAGs from YAML configuration files.
+[Airflow Plugins](https://github.com/airflow-plugins/) - Central collection of
repositories of various plugins for Airflow, including mailchimp, trello, sftp,
GitHub, etc.
-[airflow-code-editor](https://github.com/andreax79/airflow-code-editor) - A
plugin for Apache Airflow that allows you to edit DAGs in browser.
+[Chartis](https://github.com/trejas/chartis) - Python package to convert
Common Workflow Language (CWL) into Airflow DAG.
-[Pylint-Airflow](https://github.com/BasPH/pylint-airflow) - A Pylint plugin
for static code analysis on Airflow code.
+[CWL-Airflow](https://github.com/Barski-lab/cwl-airflow) - Python package to
extend Apache-Airflow 1.10.11 functionality with CWL v1.2 support.
-[afctl](https://github.com/qubole/afctl) - A CLI tool that includes everything
required to create, manage and deploy airflow projects faster and smoother.
+[dag-factory](https://github.com/ajbosco/dag-factory) - A library for
dynamically generating Apache Airflow DAGs from YAML configuration files.
[Dag Dependencies viewer](https://github.com/ms32035/airflow-dag-dependencies)
- A plugin which creates a view to visualize dependencies between the Airflow
DAGs
-[Airflow ECR Plugin](https://github.com/asandeep/airflow-ecr-plugin) - Plugin
to refresh AWS ECR login token at regular intervals. This is helpful where
DockerOperator needs to pull images hosted on ECR.
+[Databand](https://databand.ai/) - Observability platform built on top of
Airflow.
-[AirflowK8sDebugger](https://github.com/Javier162380/AirflowKuberentesDebugger)
- A library for generate k8s pod yaml templates from an Airflow dag using the
KubernetesPodOperator.
+[dbt (data build tool)](https://docs.getdbt.com/) - Data transformation tool,
[dbt jobs can be scheduled using
Airflow](https://docs.getdbt.com/docs/running-a-dbt-project/running-dbt-in-production/#using-airflow).
-[Airflow Ditto](https://github.com/angadsingh/airflow-ditto) - An extensible
framework to do transformations to an Airflow DAG and convert it into another
DAG which is flow-isomorphic with the original DAG, to be able to run it on
different environments (e.g. on different clouds, or even different container
frameworks - Apache Spark on YARN vs Kubernetes). Comes with out-of-the-box
support for EMR-to-HDInsight-DAG transforms.
+[GeniumCloud](https://geniumcloud.com) - One-Stop-Shop Platform for rapid
build, scheduling and control Airflow workflows via completely new UI. Out of
the box comprehensive Airflow infrastructure monitoring, integration with
alerting systems and service adoption from small to enterprise organizations.
The easiest way to manage complex workflows.
[gusty](https://github.com/chriscardillo/gusty) - Package that allows for the
creation of DAGs using YAML files for each job in a DAG. Includes support for
dependencies and more. A fully containerized demo is available
[here](https://github.com/chriscardillo/gusty-demo).
-[airflow-diagrams](https://github.com/feluelle/airflow-diagrams) -
Auto-generated Diagrams from Airflow DAGs
+[Oozie to Airflow](https://github.com/GoogleCloudPlatform/oozie-to-airflow) -
A tool to easily convert between [Apache Oozie](http://oozie.apache.org/)
workflows and Apache Airflow workflows.
+
+[Pylint-Airflow](https://github.com/BasPH/pylint-airflow) - A Pylint plugin
for static code analysis on Airflow code.
+
+[whirl](https://github.com/godatadriven/whirl) - Fast iterative local
development and testing of Apache Airflow workflows.
