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A lightweight Fluentd forwarder written in Go.
Journalbeat is a lightweight shipper for forwarding and centralizing log data from systemd journals. Installed as an agent on your servers, Journalbeat monitors the journal locations that you specify, collects log events, and forwards them to either to Elasticsearch or Logstash.
Packetbeat is an open source network packet analyzer that ships the data to Elasticsearch. Think of it like a distributed real-time Wireshark with a lot more analytics features. The Packetbeat shippers sniff the traffic between your application processes, parse on the fly protocols like HTTP, MySQL, PostgreSQL, Redis or Thrift and correlate the messages into transactions. For each transaction, the shipper inserts a JSON document into Elasticsearch, where it is stored and indexed. You can then use Kibana to view key metrics and do ad-hoc queries against the data. To learn more about Packetbeat, check out https://www.elastic.co/products/beats/packetbeat.
The backports namespace is a namespace reserved for features backported from the Python standard library to older versions of Python 2. Packages that exist in the backports namespace in Fedora should not provide their own backports/__init__.py, but instead require this package. Backports to earlier versions of Python 3, if they exist, do not need this package because of changes made in Python 3.3 in PEP 420 (http://www.python.org/dev/peps/pep-0420/).
Sphinx is a tool that makes it easy to create intelligent and beautiful documentation for Python projects (or other documents consisting of multiple reStructuredText sources), written by Georg Brandl. It was originally created to translate the new Python documentation, but has now been cleaned up in the hope that it will be useful to many other projects. Sphinx uses reStructuredText as its markup language, and many of its strengths come from the power and straightforwardness of reStructuredText and its parsing and translating suite, the Docutils. Although it is still under constant development, the following features are already present, work fine and can be seen "in action" in the Python docs: * Output formats: HTML (including Windows HTML Help) and LaTeX, for printable PDF versions * Extensive cross-references: semantic markup and automatic links for functions, classes, glossary terms and similar pieces of information * Hierarchical structure: easy definition of a document tree, with automatic links to siblings, parents and children * Automatic indices: general index as well as a module index * Code handling: automatic highlighting using the Pygments highlighter * Various extensions are available, e.g. for automatic testing of snippets and inclusion of appropriately formatted docstrings.
sphinx_ansible_theme --A reusable Ansible Sphinx Theme.Demo-site at
Sphinx extension that automatically documents argparse commands and options
Sphinx AutoAPI is a Sphinx extension for generating complete API documentation without needing to load, run, or import the project being documented. In contrast to the traditional Sphinx autodoc, which requires manual authoring and uses code imports, AutoAPI finds and generates documentation by parsing source code.
Rebuild Sphinx documentation on changes, with live-reload in the browser.
sphinx-autodoc-typehints[![PyPI]( [![Supported Python versions]( [![Downloads]( [![check]( extension allows you to use Python 3 annotations for documenting acceptable argument types and return value types