Python Source
A
Aspect-Oriented
 
B
Build Systems
 
C
CMS
Charting & Reporting
Code Analyzers
Connection Pools
 
D
Databases
 
E
ERP & CRM
 
H
HTML Parsers
 
I
IDEs
Installers
Issue Tracking
 
L
Logging Tools
 
N
Network Clients
 
P
PDF Libraries
Parser Generators
Persistence
Project Management
 
R
RSS & RDF Tools
 
S
Search Engines
 
T
Template Engines
Testing Tools
 
W
Web Frameworks
Web Servers
Web Services
Web Testing
Wiki Engines
Workflow Engines
 
X
XML Parsers
 

Open Source Database Engines in Python

PyTables

PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data.

Go To PyTables

Gadfly

Gadfly is a simple relational database system implemented in Python based on the SQL Structured Query Language. It supports persistent databases consisting of a collection of structured tables with indices, and a large subset of SQL for accessing and modifying those tables. It supports a log based recovery protocol which allows committed operations of a database to be recovered even if the database was not shut down in a proper manner (ie, in the event of a CPU or software crash, [but not in the event of a disk crash]). It also supports a TCP/IP Client/Server mode where remote clients can access a Gadfly database over a TCP/IP network (such as the Internet) subject to configurable security mechanisms.

Go To Gadfly

Buzhug

Buzhug is a fast, pure-Python database engine, using a syntax that Python programmers should find very intuitive The data is stored and accessed on disk (it is not an in-memory database) ; the implementation has been designed to make all operations, and especially selection, as fast as possible with an interpreted language

Go To Buzhug