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Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
The Warp Framework is an application framework built with Python. It features intelligent property and object management based solely on meta-data.
Currently Zope is supported, with room for extending it towards GTK / SQL / etc. based applications.
This will be a generic indexing system for the python language with pluggable engines to store the resulting indexes in either ZODB, MySQL or (at a later date) its own proprietary format.
The project provides utilities that generate javadoc-style HTML documentation from a database schema plus optional metadata containing textual descriptions of schema elements. Initial support for Oracle and Postgres is provided. Other DBs will follow.
Language-independent interfaces like DOM, SAX and XSLT are not particularly "Pythonic". Several tools are contained in this
"XML2Python Interfaces" project that provide more natural ways of translating between XML and Python objects.
DAT Freight and Analytics operates DAT One truckload freight marketplace
DAT Freight & Analytics operates DAT One, North America’s largest truckload freight marketplace; DAT iQ, the industry’s leading freight data analytics service; and Trucker Tools, the leader in load visibility. Shippers, transportation brokers, carriers, news organizations, and industry analysts rely on DAT for market trends and data insights, informed by nearly 700,000 daily load posts and a database exceeding $1 trillion in freight market transactions. Founded in 1978, DAT is a business unit of Roper Technologies (Nasdaq: ROP), a constituent of the Nasdaq 100, S&P 500, and Fortune 1000. Headquartered in Beaverton, Ore., DAT continues to set the standard for innovation in the trucking and logistics industry.
RapDB is a database based on invert lists for representing the domains. Suitable for wide range of applications where accurate and fast processing of large volume data needed in a real time.
Paos is a server for Python objects and event notifications, and comes with a client module for network communication and object cache management. Paos is often used in workflow systems and similar applications.
LAAPhysics is an online, self-directed, course distribution and management system, incorporating a 3D environment and advanced grading and evaluation features, designed for, but not limited to, physics education.
A postgresql database framework written in python and wxwindows.
Aims to help fill the large gap between personal/SOHO applications and enterprise:
Landlords, retail, construction etc. Focus is on ease of customization by developers.
Omseek has been renamed to Xapian. Xapian is a Search Engine Library, written in C++ with bindings for Perl, Python, PHP, Java, Tcl, C# and Ruby. It allows you to easily add advanced indexing and search facilities to your applications.
Creates really cool and useful hypermaps from SQL database schema, consists of a small PL/SQL metadata extractor and a Python (or C) postprocessor file.
XML2db is a tool to allow to generate a database like ODBC starting from a XML file.
ˇ Easy to make reporting with datas coming from a legacy system.
ˇ Easy to make interface with Microsoft tools.
YakTrack is a lightweight issue-tracking system written in Python and using XML as a storage medium. Users may define issue types, submit and query issues, and edit existing issues as they wish. Console, email, and CGI interfaces are included.
This was previously documented as the location for receiving support for PyPI. Support requests are now handled at https://github.com/pypa/pypi-support
ipymssql provides Python support for Microsoft SQL Server. It uses the .NET Framework Data Provider for SQL Server in IronPython. It adheres to the Python DB API 2.0 interface, and supports callproc().