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python3-flask-caching-1.7.2-1.lbn25.noarch: Flask-Caching Adds easy cache support to Flask.Setup The Cache Extension can either be initialized directly:.. code:: python from flask import Flask from flask_caching import Cache app Flask(__name__) For more configuration options, check out the documentation cache Cache(app, config{"CACHE_TYPE": "simple"})Or through the factory method:.. code:: python cache Cache(config{"CACHE_TYPE":...

python3-flask-bcrypt-0.7.1-1.lbn25.noarch: Flask-Bcrypt Bcrypt hashing for your Flask.

python3-flask-appbuilder-2.1.13-1.lbn25.noarch: Flask App Builder Simple and rapid application development framework, built on top of Flask <

python3-flask-admin-1.5.3-1.lbn25.noarch: Flask-Admin The project was recently moved into its own organization. Please update your references to *git@github.com:flask-admin/flask-admin.git*. Introduction Flask-Admin is a batteries-included, simple-to-use Flask < extension that lets you add admin interfaces to Flask applications. It is inspired by the *django-admin* package, but implemented in such

python3-flask-1.0.2-5.lbn25.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. Python 3 version.

python3-flake8-colors-0.1.6-1.lbn25.noarch: Error highlight plugin for Flake8.

python3-elasticsearch-dsl-7.0.0-1.lbn25.noarch: Elasticsearch DSL Elasticsearch DSL is a high-level library whose aim is to help with writing and running queries against Elasticsearch. It is built on top of the official low-level client (elasticsearch-py < provides a more convenient and idiomatic way to write and manipulate queries. It stays close to the Elasticsearch JSON DSL, mirroring its terminology and structure. It exposes the whole...

python3-distributed-2.4.0-1.lbn25.noarch: Distributed A library for distributed computation. See documentation_ for more details. .. _documentation:

python3-dill-0.3.0-1.lbn25.noarch: -- dill: serialize all of python --About Dill dill extends python's pickle module for serializing and de-serializing python objects to the majority of the built-in python types. Serialization is the process of converting an object to a byte stream, and the inverse of which is converting a byte stream back to on python object hierarchy.dill provides the user the same interface as the pickle...

python3-datadog-0.30.0-1.lbn25.noarch: The Datadog Python library [![Build Status]( [![Documentation Status]( [![PyPI - Version]( [![PyPI - Downloads]( is a collection of tools suitable for inclusion in existing Python projects or for development of standalone scripts. It provides an abstraction on top of Datadog's raw HTTP interface and the Agent's StatsD metrics aggregation server, to interact with Datadog and efficiently report...

python3-cx-Oracle-7.3.0-1.lbn25.x86_64: Python interface to Oracle Database conforming to the Python DB API 2.0 specification. See

python3-croniter-0.3.19-1.lbn25.py37.noarch: croniter provides iteration for the datetime object with a cron like format.

python3-contextdecorator-0.10.0-1.lbn25.noarch: If you're a library or framework creator then it is nice to be able to create APIs that can be used *either* as decorators or context managers.The contextdecorator module is a backport of new features added to the contextlib module < in Python 3.2. contextdecorator works with Python 2.4+ including Python 3.Context managers inheriting from ContextDecorator have to implement __enter__ and...

python3-colorlog-4.0.2-1.lbn25.noarch: Log formatting with colors![![]( [![]( [![]( is a formatter for use with Python's logging module that outputs records using terminal colors.* [Source on GitHub]( * [Packages on PyPI]( * [Builds on Travis CI](

python3-cgroupspy-0.1.6-1.lbn25.noarch: [![Build Status]( cgroupspy Python library for managing cgroupsThe library provides a pythonic way to manage and represent cgroups. It provides interfaces that convert python objects to cgroups compatible strings and vise versa.-- cgroupspy has a couple of ways to represent the cgroups filesystem* As a tree - this is the most basic and generic way to represent them. You basically construct it...

python3-atlasclient-1.0.0-1.lbn25.noarch: Apache Atlas Client in Python :target:

python3-apache-airflow-1.10.9-1.lbn25.noarch: Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. 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.

python3-analytics-python-1.2.9-1.lbn25.noarch: Segment is the simplest way to integrate analytics into your application. One API allows you to turn on any other analytics service. No more learning new APIs, repeated code, and wasted development time.This is the official python client that wraps the Segment REST API ().Documentation and more details at


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