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The PyMongo distribution contains tools for interacting with the Mongo database from Python. The pymongo package is a native Python driver for the Mongo database. The gridfs package is a gridfs implementation on top of pymongo.

The PyMongo distribution contains tools for interacting with the Mongo database from Python. The pymongo package is a native Python driver for the Mongo database. The gridfs package is a gridfs implementation on top of pymongo.

This module provides Ruby interface to D. J. Bernstein's cdb (constant database) library.

PyPy bindings to the GNU dbm library.

SQLite is a library that provides a SQL-language database that stores data in disk files without requiring a separate server process. pysqlite provides a SQL interface compliant with the DB-API 2.0 specification described by PEP 249. This means that it should be possible to write the first version of your applications using SQLite for data storage. If switching to a larger database such as PostgreSQL or Oracle is later necessary, the switch should be relatively easy.

pyspatialite is an interface to the SQLite 3.x embedded relational database engine with spatialite extensions. It is almost fully compliant with the Python database API version 2.0 also exposes the unique features of SQLite and spatialite.

Mtools is a collection of helper scripts to parse and filter MongoDB log files (mongod, mongos), visualize log files and quickly set up complex MongoDB test environments on a local machine: * mlogfilter * slices log files by time, merges log files, filters slow queries, finds table scans, shortens log lines, filters by other atributes, convert to JSON; * mloginfo * returns info about log file, like start and end time, version, binary, special sections like restarts, connections, distinct view; * mplotqueries * visualize logfiles with different types of plots; * mlogvis * creates a self-contained html file that shows an interactive visualization in a web browser (as an alternative to mplotqueries); * mlaunch * a script to quickly spin up local test environments, including replica sets and sharded systems; * mgenerate * generates structured pseudo-random data based on a template for testing and reproduction.

C++ API for QDBM

QDBM 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 or B+ tree.