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databases/Class-DBI-SAK-1.4 (Score: 3.7481335E-5)
Class::DBI Swiss Army Knife (SAK)
By taking the busy work out of using Class::DBI as you see fit, your code becomes more useful by size. Most of us end up using at least a couple Class::DBI extensions in our programs, and it's just a pain. Enter the Swiss Army Knife.
databases/DBD-PgPP-0.08 (Score: 3.7481335E-5)
Pure Perl PostgreSQL driver for the DBI
DBD::PgPP is a Pure Perl client interface for the PostgreSQL database. It implements the PostgreSQL client/server network protocol and doesn't need an external PostgreSQL client library like "libpq" for it to work. Consequently, it allows one to connect to a PostgreSQL server from operating systems to which PostgreSQL has not been ported.
Credential Management for DBIx::Class
DBIx::Class::Schema::Config is a subclass of DBIx::Class::Schema that allows the loading of credentials from a file. The actual code itself would only need to know about the name used in the configuration file. This aims to make it simpler for operations teams to manage database credentials.
databases/MDB-1.3.0 (Score: 3.7481335E-5)
PEAR unified API for DB access, based on user meta data
PEAR MDB is a merge of the PEAR DB and Metabase php database abstraction layers. It provides a common API for all support RDBMS. The main difference to most other DB abstraction packages is that MDB goes much further to ensure portability. Currently supported RDBMS are MySQL, PostGreSQL, Oracle, Frontbase, Querysim, Interbase/Firebird, and MSSQL
databases/percona-toolkit-2.2.17 (Score: 3.7481335E-5)
Collection of essential command-line utilities for MySQL
Percona Toolkit is a collection of advanced command-line tools used by Percona support staff to perform a variety of MySQL and system tasks that are too difficult or complex to perform manually, including: Verify master and replica data consistency Efficiently archive rows Find duplicate indexes Summarize MySQL servers Analyze queries from logs and tcpdump Collect vital system information when problems occur
databases/pgtop-0.05 (Score: 3.7481335E-5)
Display PostgreSQL performance info like top(1)
pgtop was inspired by mytop (http://jeremy.zawodny.com/mysql/mytop/), which in turn was inspired by the system monitoring tool top. pgtop will connect to a PostgreSQL server and periodically run queries against the pg_stat* relations and attempt to summarize the information from them in a useful format.
databases/pg8000-1.10.6 (Score: 3.7481335E-5)
Pure-Python Interface to the PostgreSQL Database
pg8000 is a Pure-Python interface to the PostgreSQL database engine. It is one of many PostgreSQL interfaces for the Python programming language. pg8000 is somewhat distinctive in that it is written entirely in Python and does not rely on any external libraries (such as a compiled python module, or PostgreSQL's libpq library). pg8000 supports the standard Python DB-API version 2.0.
databases/mysqldumper-1.24.4 (Score: 3.7481335E-5)
Tool for backing up MySQL databases
MySQLDumper is a PHP and Perl based tool for backing up MySQL databases. You can easily dump your data into a backup file and, if needed, restore it. It is especially suited for shared hosting webspaces, where you don't have shell access. MySQLDumper is an open source project and released under the GPLv2 license.
databases/pylibmc-1.5.0 (Score: 3.7481335E-5)
Quick and small memcached client for Python
pylibmc is a client in Python for memcached. It is a wrapper around TangentOrg's libmemcached library. The interface is intentionally made as close to python-memcached as possible, so that applications can drop-in replace it. pylibmc leverages among other things configurable behaviors, data pickling, data compression, battle-tested GIL retention, consistent distribution, and the binary memcached protocol.
databases/sqlalchemy06-0.6.9 (Score: 3.7481335E-5)
Python SQL toolkit and Object Relational Mapper 0.6.x
The Python SQL Toolkit and Object Relational Mapper 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.