[airflow-site] branch master updated: Alphabetize tools (#294)

[tu...@apache.org]

This is an automated email from the ASF dual-hosted git repository.

turbaszek pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/airflow-site.git


The following commit(s) were added to refs/heads/master by this push:
     new feddda3  Alphabetize tools (#294)
feddda3 is described below

commit feddda36b42c40e85cab74ce0eacdca240590eea
Author: Ry Walker <42...@users.noreply.github.com>
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 b/landing-pages/site/content/en/ecosystem/_index.md
index bb91646..6024229 100644
--- 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.