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Unixodbc is a library providing an API with which to access data sources. Data sources include SQL Servers and any software with an ODBC Driver.
Piccolo is a fast, user friendly Object–relational mapping and query builder which supports asyncio and is fully type-annotated.
Tortoise ORM is an easy-to-use asyncio ORM (Object Relational Mapper) inspired by Django. Tortoise ORM was built with relations in mind and admiration for the excellent and popular Django ORM. It's engraved in its design that you are working not with just tables, you work with relational data.
DBIx::Class::Schema::Loader automates the definition of a DBIx::Class::Schema by scanning database table definitions and setting up the columns, primary keys, unique constraints and relationships.
WiredTiger is an extensible platform for data management. It supports row-oriented storage (where all columns of a row are stored together), column-oriented storage (where columns are stored in groups, allowing for more efficient access and storage of column subsets) and log-structured merge trees (LSM), for sustained throughput under random insert workloads.
Peewee is a simple and small ORM (object-relation mapping) tool. Peewee handles converting between pythonic values and those used by databases, so you can use Python types in your code without having to worry. It has built-in support for sqlite, mysql and postgresql. If you already have a database, you can autogenerate peewee models using pwiz, a model generator.
This package provides a Postgres SQL parser as a library.
This package provides a MySQL driver for the Perl5 Database Interface (DBI).
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.
Tokyo Cabinet is a library of routines for managing a database. The database is a simple data file containing records, each is a pair of a key and a value. Every key and value is serial bytes with variable length. Both binary data and character string can be used as a key and a value. There is neither concept of data tables nor data types. Records are organized in hash table, B+ tree, or fixed-length array.
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.
python-lmdb or py-lmdb is a Python binding for the Lightning Memory-Mapped Database (LMDB), a high-performance key-value store.
SQLAlchemy-utils provides various utility functions and custom data types for SQLAlchemy. SQLAlchemy is an SQL database abstraction library for Python.
You might also want to install the following optional dependencies:
python-passlibpython-babelpython-cryptographypython-pytzpython-psycopg2python-furlpython-flask-babel
MySQLdb is an interface to the popular MySQL database server for Python. The design goals are:
Compliance with Python database API version 2.0 [PEP-0249],
Thread-safety,
Thread-friendliness (threads will not block each other).
TimescaleDB is a database designed to make SQL scalable for time-series data. It is engineered up from PostgreSQL and packaged as a PostgreSQL extension, providing automatic partitioning across time and space (partitioning key), as well as full SQL support.
Rayforce is a combined engine for performing computations on tables and graphs. It features a Lisp-like language for performing queries and operations.
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.
This module is nearly identical to SQL::Abstract 1.81, and exists to preserve the ability of users to opt into the new way of doing things in later versions according to their own schedules.
It is an abstract SQL generation module based on the concepts used by DBIx::Abstract, with several important differences, especially when it comes to WHERE clauses. These concepts were 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. You shouldn't have to modify your code every time your data changes, as this module figures it out.
python-pyodbc provides a Python DB-API driver for ODBC.
Galera is a wsrep-provider that is used with MariaDB for load-balancing and high-availability (HA).
This module tries to split any SQL code, even including non-standard extensions, into the atomic statements it is composed of.
dicedb-cli is a command line interface for DiceDB, a Redis-compliant in-memory database.
MyCLI is a command line interface for MySQL, MariaDB, and Percona with auto-completion and syntax highlighting.
fastparquet is a Python implementation of the Parquet file format. fastparquet is used implicitly by dask, pandas and intake-parquet. It supports the following compression algorithms:
Gzip
Snappy
Brotli
LZ4
Zstd
LZO (optionally)