Django-live-profiler is a low-overhead data access and code profiler for Django-based applications. Profiling Web applications on a development environment often produces misleading results due to different patterns in the data, different patterns in user behavior, and differences in infrastructure. All existing DB access profiling solutions for Django seem to focus on a single request, but in the real world certain queries might be negligible in a single request while still putting a considerable strain the database across all requests. Django-live-profiler aims to solve these issues by collecting database usage data from a live application.
Libpointmatcher is a modular "Iterative Closest Point" library, useful for robotics and computer vision. This library is designed with modularity and performance in mind. It provides building blocks to construct various ICP chains often seen in research. These chains can be tuned without any recompilation, and new modules can be added without modifying the core of the library.