psycopg is a PostgreSQL database adapter for the Python programming language. Its main advantages are that it supports the full Python DBAPI 2.0 and it is thread safe at level 2. It was designed for heavily multi-threaded applications that create and destroy lots of cursors and make a conspicuous number of concurrent INSERTs or UPDATEs. The psycopg distribution includes ZPsycopgDA, a Zope Database Adapter.
StarCluster is a utility for creating traditional computing clusters used in research labs or for general distributed computing applications on Amazon's Elastic Compute Cloud (EC2). It uses a simple configuration file provided by the user to request cloud resources from Amazon and to automatically configure them with a queuing system, an NFS shared /home directory, passwordless SSH, OpenMPI, and ~140GB scratch disk space. It consists of a Python library and a simple command line interface to the library. For end-users, the command line interface provides simple intuitive options for getting started with distributed computing on EC2 (i.e. starting/stopping clusters, managing AMIs, etc). For developers, the library wraps the EC2 API to provide a simplified interface for launching/terminating nodes, executing commands on the nodes, copying files to/from the nodes, etc.
noVNC is a VNC client implemented using HTML5 technologies, specifically Canvas and WebSockets. It supports "wss://" encryption (SSL/TLS). For browsers that do not have native WebSockets support, the project includes web-socket-js, a WebSockets emulator using Adobe Flash. In addition, as3crypto has been added to web-socket-js to implement WebSocket SSL/TLS encryption, i.e. the "wss://" URI scheme.
Pybatis lets you use a templating engine to generate SQL in the same way we use templating engines to generate HTML. But while HTML is generated to send to a browser, Pybatis generates SQL to send to the database via Python's DB API, and then gathers the results. Pybatis consists of three things combined: Python's DB API, templates, and convenience methods. The core idea of treating dynamic SQL as a templating problem rather than a code generation problem (as in most ORM libraries) comes from iBATIS, after which Pybatis is named with great respect.