38 projects tagged "Database"
Updated 18 May 2013
SQLObject
| Pop | 248.40 |
|---|---|
| Vit | 247.88 |
SQLObject is an object-relational mapper, i.e., a library that will wrap your database tables in Python classes and your rows in Python instances. It currently supports MySQL through the 'MySQLdb' package, PostgreSQL through the 'psycopg' package, SQLite, Firebird, MaxDB (SAP DB), MS SQL, and Sybase. It should support Python versions back to 2.4.
Updated 07 Jun 2012
Python-LDAP
| Pop | 272.42 |
|---|---|
| Vit | 20.96 |
python-ldap provides an object-oriented API to access LDAP directory servers from Python programs. Mainly, it wraps the OpenLDAP 2.3+ libs for that purpose. Additionally, the package contains modules for other LDAP-related stuff (such as processing LDIF, LDAPURLs, and LDAPv3 schema).
Updated 16 Jun 2012
IMDbPY
| Pop | 231.97 |
|---|---|
| Vit | 20.55 |
IMDbPY is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters, and companies. It can retrieve data from both the IMDb's Web server and a local copy of the whole database. The IMDbPY package can be very easily used by programmers and developers to provide access to the IMDb's data to their programs. Some simple example scripts are included in the package.
Updated 14 Nov 2011
Redland RDF Library Language Bindings
| Pop | 92.85 |
|---|---|
| Vit | 9.92 |
redland-bindings provides high-level language bindings for the Redland RDF C libraries, allowing full access to the C APIs along with enhancements for individual languages. It currently provides bindings in Perl, PHP, Python, and Ruby.
Updated 17 Jan 2012
Python bsddb3
| Pop | 78.59 |
|---|---|
| Vit | 8.80 |
Python bsddb3 is a Python module that provides a nearly complete wrapping of the Oracle/Sleepycat C API for the database environment, database, cursor, sequence, and transaction objects, and each of these is exposed as a Python type in the bsddb3.db module. The database objects can use various access methods: btree, hash, recno, and queue. It has complete support for Berkeley DB distributed transactions, and complete support for the Berkeley DB Replication Manager and base replication API. The goal is to mirror most of the real Berkeley DB API.
Updated 19 Oct 2009
pysqlite
| Pop | 189.93 |
|---|---|
| Vit | 6.57 |
SQLite is a powerful embedded relational database engine. pysqlite makes it available to Python developers via the Database API 2.0.
Updated 26 Feb 2006
Modeling Framework
| Pop | 57.36 |
|---|---|
| Vit | 6.33 |
Modeling Framework fills the gap between the Python object world and relational databases in that it allows users to transparently create, retrieve, update, or delete Python objects from a database without having to write a single line of SQL. Its main features include generation of database schema, generation of Python code templates ready to be used, support for transparent mapping of (class) inheritance in relational databases, object-oriented query language, use of standard Python getters to traverse relationships (the related objects are automatically fetched when needed and when appropriate), and automatic checking for referential-integrity constraints, etc. Supported databases are MySQL, Oracle, PostgreSQL, and SQLite.
Updated 16 Mar 2005
pgasync
| Pop | 44.18 |
|---|---|
| Vit | 3.93 |
pgasync is an asynchronous, twisted-based PostgreSQL client library which fully conforms to the Python DB API 2.0 specification. It's designed to run quickly and scale well. It provides connection pooling and persistence, database types, and safe conversions.
Updated 28 Apr 2009
pymssql
| Pop | 49.90 |
|---|---|
| Vit | 3.93 |
The pymssql module provides access to MS SQL databases from Python scripts. It implements version 2.0 of the Python DB API.
Updated 21 Jul 2009
eGenix mxODBC Zope Database Adapter
| Pop | 39.72 |
|---|---|
| Vit | 3.27 |
The eGenix mxODBC Zope Database Adapter (Zope DA) allows you to easily connect your Zope installation to just about any database backend. Unlike Zope's ZODBC Zope DA, the mxODBC Zope DA works on Windows, Linux, and Solaris using the same interface. It implements thread-safe connection pooling and multiple physical connects per logical Zope connection. You can safely run Z SQL Methods in parallel, achieving much better performance than ZODBC Zope DA or similar database adapters under heavy load. This makes it ideal for deployment in clusters and hosting environments where stability and high performance are a priority.
