Modified items

All recently modified items, latest first.

elasticsearch-plugin-discovery-ec2-6.0.0-1.lbn25.noarch: The Store SMB plugin adds support for SMB stores.

elasticsearch-plugin-discovery-azure-classic-6.0.0-1.lbn25.noarch: The Store SMB plugin adds support for SMB stores.

elasticsearch-plugin-analysis-ukrainian-6.0.0-1.lbn25.noarch: The Store SMB plugin adds support for SMB stores.

elasticsearch-plugin-analysis-stempel-6.0.0-1.lbn25.noarch: The Store SMB plugin adds support for SMB stores.

elasticsearch-plugin-analysis-smartcn-6.0.0-1.lbn25.noarch: The Store SMB plugin adds support for SMB stores.

elasticsearch-plugin-analysis-phonetic-6.0.0-1.lbn25.noarch: The Store SMB plugin adds support for SMB stores.

elasticsearch-plugin-analysis-kuromoji-6.0.0-1.lbn25.noarch: The Store SMB plugin adds support for SMB stores.

elasticsearch-plugin-analysis-icu-6.0.0-1.lbn25.noarch: The Store SMB plugin adds support for SMB stores.

elasticsearch-6.0.0-1.lbn25.noarch: Elasticsearch is a search server based on Lucene. It provides a distributed, multitenant-capable full-text search engine with a RESTful web interface and schema-free JSON documents. Elasticsearch is developed in Java and is released as open source under the terms of the Apache License. It is a flexible and powerful open source, distributed, real-time search and analytics engine. Architected from the ground up for use in distributed environments where reliability and scalability are must haves, Elasticsearch gives you the ability to move easily beyond simple full-text search. Through its robust set of APIs and query DSLs, plus clients for the most popular programming languages, Elasticsearch delivers on the near limitless promises of search technology.

elastic-beats-7.3.0-1.git6f0ec01.lbn25.x86_64: Beats - Lightweight shippers for Elasticsearch & Logstash The Beats are lightweight processes, written in Go, that you install on your servers to capture all sorts of operational data like logs, operating system metrics or network packet data, and to send it to Elasticsearch, either directly or via Logstash, so it can be visualized with Kibana.

python3-tornado-6.0.3-1.lbn25.x86_64: Tornado is an open source version of the scalable, non-blocking web server and tools. The framework is distinct from most mainstream web server frameworks (and certainly most Python frameworks) because it is non-blocking and reasonably fast. Because it is non-blocking and uses epoll, it can handle thousands of simultaneous standing connections, which means it is ideal for real-time web services.

python3-sqlparse-0.2.4-5.lbn25.noarch: sqlparse is a tool for parsing SQL strings. It can generate pretty-printed renderings of SQL in various formats. It is a python module, together with a command-line tool.

python3-sqlobject-3.3.0-2.lbn25.py37.noarch: Classes created using SQLObject wrap database rows, presenting a friendly-looking Python object instead of a database/SQL interface. Emphasizes convenience. Works with MySQL, Postgres, SQLite, Firebird. This package requires sqlite. Futher database connectors have to be installed separately. This package provides Python 3 build of sqlobject.

python3-sqlalchemy-sqlschema-0.1-1.lbn25.py37.noarch: SQLAlchemySQLSchema Provides a contextmanager with the capability to set the SQL schema for a connection or session. The schema will persist through multiple transactions.

python3-sqlalchemy-redshift-0.5.0-1.lbn25.py37.noarch: sqlalchemyredshift Amazon Redshift dialect for SQLAlchemy. Installation The package is available on PyPI:: pip install sqlalchemyredshiftUsageThe DSN format is similar to that of regular Postgres:: >>> import sqlalchemy as sa >>> sa.create_engine('redshift+@host.amazonaws.com:5439/database') Engine(redshift+@host.amazonaws.com:5439/database)See the RedshiftDDLCompiler documentation < for ...

python3-sqlalchemy-1.3.3-1.lbn25.x86_64: SQLAlchemy is an Object Relational Mapper (ORM) that provides a flexible, high-level interface to SQL databases. Database and domain concepts are decoupled, allowing both sides maximum flexibility and power. SQLAlchemy provides a powerful mapping layer that can work as automatically or as manually as you choose, determining relationships based on foreign keys or letting you define the join conditions explicitly, to bridge the gap between database and domain. This package includes the python 3 version of the module.

python3-nbsphinx-0.2.17-4.lbn25.py37.noarch: nbsphinx is a Sphinx extension that provides a source parser for *.ipynb files. Custom Sphinx directives are used to show Jupyter Notebook code cells (and of course their results) in both HTML and LaTeX output. Unevaluated notebooks, i.e. notebooks without stored output cells, will be automatically executed during the Sphinx build process.

python3-nb2plots-0.6-4.lbn25.noarch: This package contains tools for converting from Jupyter notebooks to ReST for Sphinx, and vice versa.


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