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GDL (GNU Data Language) is an incremental compiler compatible with IDL (Interactive Data Language) and to some extent with PV-WAVE. Together with its library routines it serves as a tool for data analysis and visualization in such disciplines as astronomy, geosciences and medical imaging.
Piccolo is a fast, user friendly Object–relational mapping and query builder which supports asyncio and is fully type-annotated.
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 an asynchronous client for SQLite using AnyIO.
MariaDB is a multi-user and multi-threaded SQL database server, designed as a drop-in replacement of MySQL.
Sqitch is a standalone change management system for database schemas, which uses SQL to describe changes.
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.
Fakeredis is a pure-Python implementation of the redis-py Python client that simulates talking to a redis server. It was created for a single purpose: to write unit tests.
Setting up redis is not hard, but one often wants to write unit tests that don't talk to an external server such as redis. This module can be used as a reasonable substitute.
Automatically set and update fields with values calculated at runtime. Ipdate or create actions will set the specified columns to the value returned by the callback you specified as a method name or code reference.
SQL::Translator is a group of Perl modules that converts vendor-specific SQL table definitions into other formats, such as other vendor-specific SQL, ER diagrams, documentation (POD and HTML), XML, and Class::DBI classes. The main focus is SQL, but parsers exist for other structured data formats, including Excel spreadsheets and arbitrarily delimited text files. Through the separation of the code into parsers and producers with an object model in between, it's possible to combine any parser with any producer, to plug in custom parsers or producers, or to manipulate the parsed data via the built-in object model. Presently only the definition parts of SQL are handled (CREATE, ALTER), not the manipulation of data (INSERT, UPDATE, DELETE).
python-lmdb or py-lmdb is a Python binding for the Lightning Memory-Mapped Database (LMDB), a high-performance key-value store.
SQLCipher is an implementation of SQLite, extended to provide transparent 256-bit AES encryption of database files. Pages are encrypted before being written to disk and are decrypted when read back. It’s well suited for protecting embedded application databases and for mobile development.
This package provides a utility for dumping the contents of an ElasticSearch index to a compressed file and restoring the dumpfile back to an ElasticSearch server
Libpqxx is a C++ library to enable user programs to communicate with the PostgreSQL database back-end. The database back-end can be local or it may be on another machine, accessed via TCP/IP.
PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query.
The Lightning Memory-Mapped Database (LMDB) is a high-performance transactional database. Unlike more complex relational databases, LMDB handles only key-value pairs (stored as arbitrary byte arrays) and relies on the underlying operating system for caching and locking, keeping the code small and simple. The use of ‘zero-copy’ memory-mapped files combines the persistence of classic disk-based databases with high read performance that scales linearly over multiple cores. The size of each database is limited only by the size of the virtual address space — not physical RAM.
SQLAlchemy is the Python SQL toolkit and ORM 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.
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.
LevelDB is a fast key-value storage library that provides an ordered mapping from string keys to string values.
litecli is a command-line client for SQLite databases that has auto-completion and syntax highlighting.
The DB::File module provides Perl bindings to the Berkeley DB version 1.x.
This package provides a Postgres SQL parser as a library.
Sqlitebrowser lets you create, design, and edit database files compatible with SQLite using a graphical user interface.