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peak.util.assembler is a simple bytecode assembler module that handles most low-level bytecode generation details like jump offsets, stack size tracking, line number table generation, constant and variable name index tracking, etc. That way, you can focus your attention on the desired semantics of your bytecode instead of on these mechanical issues. In addition to a low-level opcode-oriented API for directly generating specific Python bytecodes, this module also offers an extensible mini-AST framework for generating code from high-level specifications. This framework does most of the work needed to transform tree-like structures into linear bytecode instructions, and includes the ability to do compile-time constant folding.
The peak.util.extremes module provides a production-quality implementation of the Min and Max objects from PEP 326. While PEP 326 was rejected for inclusion in the language or standard library, the objects described in it are useful in a variety of applications. In PEAK, they have been used to implement generic functions (in RuleDispatch and PEAK-Rules), as well as to handle scheduling and time operations in the Trellis. Because this has led to each project copying the same code, we've now split the module out so it can be used independently.
SymbolType gives you access to the peak.util.symbols module, previously available only by installing the full PEAK toolkit. peak.util.symbols provides a Symbol type and two built-in symbols that are used by PEAK: NOT_FOUND and NOT_GIVEN.
A WSGI object-dispatching web framework, designed to be lean and fast, with few dependancies.
The perfmetrics package provides a simple way to add software performance metrics to Python libraries and applications. Use perfmetrics to find the true bottlenecks in a production application. The perfmetrics package is a client of the Statsd daemon by Etsy, which is in turn a client of Graphite (specifically, the Carbon daemon). Because the perfmetrics package sends UDP packets to Statsd, perfmetrics adds no I/O delays to applications and little CPU overhead. It can work equally well in threaded (synchronous) or event-driven (asynchronous) software.
This package contains a generic persistence implementation for Python. It forms the core protocol for making objects interact "transparently" with a database such as the ZODB.
Pexpect is a pure Python module for spawning child applications; controlling them; and responding to expected patterns in their output. Pexpect works like Don Libes' Expect. Pexpect allows your script to spawn a child application and control it as if a human were typing commands. Pexpect can be used for automating interactive applications such as ssh, ftp, passwd, telnet, etc. It can be used to automate setup scripts for duplicating software package installations on different servers. And it can be used for automated software testing. Pexpect is in the spirit of Don Libes' Expect, but Pexpect is pure Python. Unlike other Expect-like modules for Python, Pexpect does not require TCL or Expect nor does it require C extensions to be compiled. It should work on any platform that supports the standard Python pty module.