Surrogate is an HTTP proxy functioning in both forward and reverse proxy modes. It is written in Erlang OTP and uses stream filters for inspecting and modifying data as it passes through the proxy. Additional stream filters can be implemented by writing modules that implement the filter_stream behavior. Reverse proxy features include load balancing. Additional balancer methods can be specified by implementing modules with the gen_balancer behavior. Forward proxy features include gzip compression to end servers, CONNECT support, and an HTTP proxy with authentication that can use MySQL or Mnesia backends. There is also a SOCKS 4/5 proxy listener.
hotpotato (or hptt, for short) is a high performance and throughput oriented HTTP client Java library, with support for HTTP 1.1 pipelining. It was developed mostly towards server-side usage, where speed and low resource usage are the key factors, but it can be used to build client applications as well. Built on top of Netty and designed for high concurrency scenarios where multiple threads can use the same instance of a client without any worries for external or internal synchronization, hotpotato helps you reduce initialization and/or preparation times and resource squandering. Among many small optimizations, connections are reused whenever possible, which results in a severe reduction of total request execution times by cutting connection establishment overhead.
mod_sesehe is an Apache module that disguises and removes the "Server: " HTTP header from responses. This allows you to hide certain information about the server. This also allows more accurate information to be provided if Apache is configured as a reverse proxy and a malformed request is received. Although sending the Server header in HTTP responses is not defined as a MUST in RFC 2616, the Apache HTTP Server does not otherwise allow you to disable sending this header via its configuration.
PyMuTester is tool to facilitate Mutant Testing (a.k.a Mutant Analysis or Program Mutation) on software systems written in Python. Its main purpose is to assist you in improving your existing unit tests to cover missing checks and “loopholes” in your testing. It works by making small changes (technically known as mutants) to your Python application’s source code and re-running your unit tests over these mutated applications' source code. Since the mutants usually go against the specifications, your unit tests should fail in such tests. If the unit tests still pass, then that is an indication that your unit tests might have missed some checks.