semvec/pypi-packages huggingface dataset:
djangae 2.0.0rc5
Django integration with Google App Engine
Keywords: django, Google App Engine, GAE

# Djangae

![Pipeline status](https://gitlab.com/potato-oss/djangae/djangae/badges/master/pipeline.svg)

The best way to run Django on Google Cloud.

Djangae (djan-gee) is a Django app that allows you to run Django applications on the Google Cloud platform, including (if you
want to) using Django's models with Google Cloud Datastore as the underlying database.

:earth_africa:&nbsp;&nbsp;[Website](https://djangae.org)&nbsp;&nbsp;|&nbsp;&nbsp;
:computer:&nbsp;&nbsp;[GitLab](https://gitlab.com/potato-oss/djangae/djangae)&nbsp;&nbsp;|&nbsp;&nbsp;
:closed_book:&nbsp;&nbsp; [Docs](https://djangae.readthedocs.io/)&nbsp;&nbsp;|&nbsp;&nbsp;
:busts_in_silhouette:&nbsp;&nbsp;[Google Group](https://groups.google.com/forum/#!forum/djangae-users)

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# Documentation

[https://djangae.readthedocs.io/](https://djangae.readthedocs.io/)


# Djangae has moved to GitLab

If you're looking at this on GitHub, please note that you're seeing a mirror of the project which now lives on [GitLab](https://gitlab.com/potato-oss/djangae/djangae).


# Contributing to Djangae

See [https://djangae.readthedocs.io/en/latest/contributing/](https://djangae.readthedocs.io/en/latest/contributing/)


# Looking for Commercial Support?

Potato offers Commercial Support for all its Open Source projects and we can tailor a support package to your needs.

If you're interested in commercial support, training, or consultancy then go ahead and contact us at [opensource@potatolondon.com](mailto:opensource@potatolondon.com)


# Come work with Potato

Like Django? So do we! Why not come and work for the company that created Djangae? Check out the [Potato jobs page](https://p.ota.to/jobs/) for our open positions, or reach out to [jobs@p.ota.to](mailto:jobs@p.ota.to).
mp-async-worker 0.0.1
A package that allows you to easily insulate batch processes to another process.
Requires Python: >=3.5

# mp-async-worker

mp-async-worker uses the async syntax to offload compute-intensive routines to a child process. This ensures that the main process remains responsive and is not blocked by long-running tasks. The library is designed around batch processing.

# Install

# Usage



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