TinyDB is a small document oriented database written in pure Python with no external dependencies. The targets are small apps that would be blown away by a SQL-DB or an external database server.

Valkey is a high-performance key-value datastore that supports a variety of workloads such as caching, message queues, and can act as a primary database.

This package works in conjunction with InflateColumn::DateTime to automatically set update and create date and time based fields in a table.

This package provides a CLI tool and Python utility functions for manipulating SQLite databases. It's main features are:

• Pipe JSON (or CSV or TSV) directly into a new SQLite database file, automatically creating a table with the appropriate schema.

• Run in-memory SQL queries, including joins, directly against data in CSV, TSV or JSON files and view the results.

• Configure SQLite full-text search against your database tables and run search queries against them, ordered by relevance.

• Run transformations against your tables to make schema changes that SQLite ALTER TABLE does not directly support, such as changing the type of a column.

• Extract columns into separate tables to better normalize your existing data.

This module was inspired by the excellent DBIx::Abstract. While based on the concepts used by DBIx::Abstract, the concepts used have been modified to make the SQL easier to generate from Perl data structures. The underlying idea is for this module to do what you mean, based on the data structures you provide it, so that you don't have to modify your code every time your data changes.

The package aiosqlite replicates the standard sqlite3 module, but with async versions of all the standard connection and cursor methods, and context managers for automatically closing connections.

This package provides job scheduling capabilities to python-rq (Redis Queue).

This package provides an Emacs major mode rec-mode for working with GNU Recutils text-based, human-editable databases. It supports editing, navigation, and querying of recutils database files including field and record folding.

The goal for nanodbc is to make developers happy by providing a simpler and less verbose API for working with ODBC. Common tasks should be easy, requiring concise and simple code.

aiomysql is a driver for accessing a MySQL database from the asyncio Python framework. It depends on and reuses most parts of PyMySQL. aiomysql tries to preserve the same API as the aiopg library.

This package implements the LSP for SQL.

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. It provides a full suite of well known enterprise-level persistence patterns, designed for efficient and high-performing database access, adapted into a simple and Pythonic domain language.

The libdbi-drivers library provides the database specific drivers for the libdbi framework.

The drivers officially supported by libdbi are:

• MySQL,

• PostgreSQL,

• SQLite.

This package provides an improved fork of python-aioodbc, and makes it possible to Access ODBC databases with python-asyncio.

This package provides an Emacs major mode rec-mode for working with GNU Recutils text-based, human-editable databases. It supports editing, navigation, and querying of recutils database files including field and record folding.

Sparql-query is a command-line tool for accessing SPARQL endpoints over HTTP. It has been intentionally designed to feel similar to tools for interrogating SQL databases. For example, you can enter a query over several lines, using a semi-colon at the end of a line to indicate the end of your query. It also supports readline so that you can more easily recall and edit previous queries, even across sessions. It can be used non-interactively, for example from a shell script.

PostgreSQL is a powerful object-relational database system. It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It includes most SQL:2008 data types, including INTEGER, NUMERIC, BOOLEAN, CHAR, VARCHAR, DATE, INTERVAL, and TIMESTAMP. It also supports storage of binary large objects, including pictures, sounds, or video.

asyncmy is a fast asyncio MySQL driver, which reuses most of pymysql and aiomysql but rewrites the core protocol with Cython for performance.

Pypika-tortoise is a fork of pypika which has been streamlined for its use in the context of tortoise-orm. It removes support for many database kinds that tortoise-orm doesn't need, for example.

This library provides a Pythonic API wrapper for the reference Arrow C++ implementation, along with tools for interoperability with pandas, NumPy, and other traditional Python scientific computing packages.

DBIx::Class::Cursor::Cached provides a cursor class with built-in caching support.

RQ (Redis Queue) is a simple Python library for queueing jobs and processing them in the background with workers. It is backed by Redis and it is designed to have a low barrier to entry.

This package contains bindings for the ADBC Driver Manager, as well as a DBAPI 2.0/PEP 249-compatible interface on top. This can be used to load ADBC drivers at runtime and use them from Python. Backend-specific packages like adbc_driver_postgresql wrap this package in a more convenient interface, and should be preferred where they exist.

PostgreSQL is a powerful object-relational database system. It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It includes most SQL:2008 data types, including INTEGER, NUMERIC, BOOLEAN, CHAR, VARCHAR, DATE, INTERVAL, and TIMESTAMP. It also supports storage of binary large objects, including pictures, sounds, or video.