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python3-aioredis-2.0.1-2.lbn36.noarch
aioredis
asyncio (3156) Redis client library.
The library is intended to provide simple and clear interface to Redis
based on asyncio.
Features
Feature
Supported
hiredis parser
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Pure-python parser
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Low-level & High-level APIs
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Pipelining support
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Multi/Exec support
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Connections Pool
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Pub/Sub support
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Sentinel support
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ACL support
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Streams support
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Redis Cluster support
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Tested Python versions
3.6, 3.7, 3.8, 3.9
Tested for Redis servers
5.0, 6.0
Support for dev Redis server
through low-level API
Installation
The easiest way to install aioredis is by using the package on PyPi:
pip install aioredis
Requirements
Python 3.6+
hiredis
Benchmarks
Benchmarks can be found here:
https:/github.com/popravich/python-redis-benchmark
Contribute
Issue Tracker: https:/gith
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python3-aioresponses-0.7.6-4.lbn36.noarch
Aioresponses is a helper to mock/fake web requests in the python
aiohttp package. The purpose of this package is to provide an
easy way to test asynchronous HTTP requests.
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python3-aiosignal-1.2.0-3.fc36.noarch
A project to manage callbacks in asyncio projects.
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python3-aiosmtpd-1.4.2-7.fc36.noarch
This is a server for SMTP and related protocols, similar in utility
to the standard library’s smtpd.py module, but rewritten to be based
on asyncio for Python 3.
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python3-aiosmtplib-3.0.1-1.lbn36.noarch
aiosmtplib |circleci| |precommit.ci| |codecov| |pypi-version| |pypi-status|
|downloads| |pypi-python-versions| |pypi-license|aiosmtplib is an asynchronous
SMTP client for use with asyncio.For documentation, see Read The
Docs_.Quickstart - start quickstart.. code-block:: python import asyncio from
email.message import EmailMessage import aiosmtplib message EmailMessage()
message["From"]...
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python3-aiosqlite-0.20.0-1.lbn36.noarch
aiosqlite AsyncIO bridge to the standard SQLite3 module for Python 3.5+.
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python3-airbyte-api-0.52.0-1.lbn36.noarch
Programatically control Airbyte Cloud through an API.
Authentication
Developers will need to create an API Key within your Developer Portal to make API requests. You can use your existing Airbyte account to log in to the Developer Portal. Once you are in the Developer Portal, use the API Keys tab to create or remove API Keys. You can see a walkthrough demo here🎦
The Developer Portal UI can also be used to help build your integration by showing information about network requests in the Requests tab. API usage information is also available to you in the Usage tab.
Summary
airbyte-api: Programmatically control Airbyte Cloud, OSS & Enterprise.
Table of Contents
Authentication
SDK Installation
SDK Example Usage
Available Resources and Operations
Error Handling
Server Selection
Custom HTTP Client
Authentication
SDK Installation
The SDK can be installed using the pip package manager, with dependencies and metadata stored in the setup.py file.
pip install airbyte-api
SDK Example Usage
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python3-airflow-code-editor-8.0.1-1.lbn36.noarch
A plugin for Apache Airflow that allows you to edit DAGs in browser. It provides a file
managing interface within specified directories and it can be used to edit and download
your files. If git support is enabled, the DAGs are stored in a Git repository. You may
use it to view Git history, review local changes and commit.
Config Options
You can edit your airflow.cfg adding any of the following settings in the [code_editor] section. All the settings are optional.
git_enabled enable git support (default: True). If git is not installed, disable this option.
git_cmd git command (path)
git_default_args git arguments added to each call (default: -c color.ui=true)
git_author_name human-readable name in the author/committer (default logged user first and last names)
git_author_email email for the author/committer (default: logged user email)
git_init_repo initialize a git repo in DAGs folder (default: True)
root_directory root folder (default: Airflow DAGs folder)
mount_name configure additional file folder name (mount point)
mount_path configure additional file path
line_length Python code formatter - max line length (default: 88)
string_normalization Python code formatter - if true normalize string quotes and prefixes (default: False)
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python3-airflow-diagrams-2.1.0-1.lbn36.noarch
airflow-diagrams> Auto-generated Diagrams from Airflow DAGs.This project aims
to easily visualise you [Airflow]( DAGs on service level from providers like
AWS, GCP, Azure, etc. via [diagrams]( InstallationTo install it from pypi
run:pip install airflow-diagrams How-to-UseTo use this auto-generator just add
the following two lines to your Airflow DAG (and run it): python from
airflow_diagrams...
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python3-airflow-exporter-1.5.3-1.lbn36.noarch
Airflow prometheus exporterExposes dag and task based metrics from Airflow to
a Prometheus compatible endpoint. DiscussionYou can ask questions in Gitter
channel: Screenshots<img src" height"400" width"600"/> Compatibility**Note:
this version is compatible with Airflow 1.10.3+ only, see [46]( for
details**For compatibility with previous versions of Airflow use older version:
[v0.5.4](
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