Home: http://airflow.apache.org

Package license: Apache 2.0

Feedstock license: BSD 3-Clause

Summary: Airflow is a platform to programmatically author, schedule and monitor workflows

Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.

When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.

Azure	Variant Status linux_python2.7 linux_python3.6 linux_python3.7 linux_python3.8 osx_python2.7 osx_python3.6 osx_python3.7 osx_python3.8
Windows
Linux_ppc64le

Name	Downloads	Version	Platforms

Installing airflow-split from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge

Once the conda-forge channel has been enabled, airflow, airflow-with-async, airflow-with-azure-mgmt-containerinstance, airflow-with-azure_blob_storage, airflow-with-azure_cosmos, airflow-with-cassandra, airflow-with-celery, airflow-with-cgroups, airflow-with-cloudant, airflow-with-crypto, airflow-with-dask, airflow-with-databricks, airflow-with-datadog, airflow-with-docker, airflow-with-druid, airflow-with-elasticsearch, airflow-with-emr, airflow-with-hdfs, airflow-with-jdbc, airflow-with-jenkins, airflow-with-jira, airflow-with-kubernetes, airflow-with-ldap, airflow-with-mongo, airflow-with-mssql, airflow-with-mysql, airflow-with-password, airflow-with-postgres, airflow-with-qds, airflow-with-rabbitmq, airflow-with-redis, airflow-with-salesforce, airflow-with-samba, airflow-with-sendgrid, airflow-with-slack, airflow-with-ssh, airflow-with-statsd, airflow-with-vertica, airflow-with-webhdfs, airflow-with-winrm can be installed with:

conda install airflow airflow-with-async airflow-with-azure-mgmt-containerinstance airflow-with-azure_blob_storage airflow-with-azure_cosmos airflow-with-cassandra airflow-with-celery airflow-with-cgroups airflow-with-cloudant airflow-with-crypto airflow-with-dask airflow-with-databricks airflow-with-datadog airflow-with-docker airflow-with-druid airflow-with-elasticsearch airflow-with-emr airflow-with-hdfs airflow-with-jdbc airflow-with-jenkins airflow-with-jira airflow-with-kubernetes airflow-with-ldap airflow-with-mongo airflow-with-mssql airflow-with-mysql airflow-with-password airflow-with-postgres airflow-with-qds airflow-with-rabbitmq airflow-with-redis airflow-with-salesforce airflow-with-samba airflow-with-sendgrid airflow-with-slack airflow-with-ssh airflow-with-statsd airflow-with-vertica airflow-with-webhdfs airflow-with-winrm

It is possible to list all of the versions of airflow available on your platform with:

conda search airflow --channel conda-forge

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by CircleCI, AppVeyor and TravisCI it is possible to build and upload installable packages to the conda-forge Anaconda-Cloud channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

If you would like to improve the airflow-split recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/airflow-split-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

• If the version of a package is not being increased, please add or increase the build/number.
• If the version of a package is being increased, please remember to return the build/number back to 0.

• @halldc
• @sodre
• @xylar