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python-falcon-0.1.8-4.lbn19.x86_64
Falcon is a high-performance Python framework for building cloud APIs.
It encourages the REST architectural style, and tries to do as little as
possible while remaining highly effective.
Features:
- Intuitive routing via URI templates and resource classes
- Easy access to headers and bodies through request and response classes
- Idiomatic HTTP error responses via a handy exception base class
- DRY request processing using global, resource, and method hooks
- Snappy unit testing through WSGI helpers and mocks
- 20% speed boost when Cython is available
- Python 2.6, Python 2.7, PyPy and Python 3.3 support
- Speed, speed, and more speed!
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python-firebase-token-generator-1.3.2-1.lbn19.noarch
Firebase Token Generator gives you complete control over user authentication by allowing you to authenticate users
with secure JSON Web Tokens (JWTs). The auth payload stored in those tokens is available
for use in your Firebase [security rules]https://www.firebase.com/docs/security/api/rule/)
This is a token generator library for Python which allows you to easily create those JWTs.A utility to generate signed Firebase Authentication Tokens
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python-flask-0.9-7.fc19.noarch
Flask is called a “micro-framework” because the idea to keep the core
simple but extensible. There is no database abstraction layer, no form
validation or anything else where different libraries already exist
that can handle that. However Flask knows the concept of extensions
that can add this functionality into your application as if it was
implemented in Flask itself. There are currently extensions for object
relational mappers, form validation, upload handling, various open
authentication technologies and more.
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python-flask-babel-0.9-1.lbn19.noarch
Adds i18n/l10n support to Flask applications with the help of the Babel library.
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python-flocker-1.3.1-1.lbn19.noarch
Flocker is a volume manager and multi-host Docker container orchestration tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.
With Flocker’s command line tools and a simple configuration language, you can deploy your Docker-based applications onto one or more hosts. Once deployed, your applications will have access to the volumes you have configured for them. Those volumes will follow your containers when you use Flocker to move them between different hosts in your Flocker cluster.
Flocker is being developed by ClusterHQ. We are a small team of engineers with experience running distributed systems and many of us are core contributors to the Twisted project.
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python-flocker-cli-1.15.0-1.lbn19.noarch
Command line interface for python-flocker
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python-flocker-node-1.15.0-1.lbn19.noarch
Node manager for Flocker
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python-flocker-unofficial-tools-0.6-1.lbn19.noarch
This repository contains the following ClusterHQ Labs projects.
Flocker Volumes CLI (flockerctl)
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python-funky-0.0.2-1.lbn19.noarch
Funky is a package of some useful functionnal constructs for python.
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python-futures-3.0.4-2.lbn19.noarch
The concurrent.futures module provides a high-level interface for
asynchronously executing callables.
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