PerfMonger is an yet another performance monitoring tool. The monitoring targets of PerfMonger are similar to the ones of sysstat (CPU usages, IO usages, etc.), but PerfMonger can collect and report performance information very frequently (the reporting interval of sysstat is 1 second at minimum, but PerfMonger can use a much smaller interval such as 0.5 seconds or 0.01 seconds) and can display performance information in both human-readable and machine-readable formats.
Ujorm is an easy-to-use ORM framework based on key-value objects. The framework was designed for rapid Java development with great performance and a small footprint. The key features are type safe queries, relation mapping by Java code, no entity states, and a memory overloading protection cache.
Metrix++ is a platform to collect and analyze code metrics. It has a plugin-based architecture, so it is easy to add support for new languages, define new metrics, and/or create new pre- and post-processing tools. Every metric has 'turn-on' and other configuration options. There are no predefined thresholds for metrics or rules; you can choose and configure any limit you want. It scales well to large codebases. For example, initial parsing of about 10000 files takes 2-3 minutes on an average PC, and only 10-20 seconds for iterative re-run. Reporting summary results and exceeded limits takes less than 1 - 10 seconds. It can compare results for 2 code snapshots (collections) and differentiate added regions (classes, functions, etc.), modified regions, and unchanged regions. As a result, easy deployment is guaranteed into legacy software, helping you to deal with legacy code efficiently, and either enforce the 'leave it not worse than it was before' rule or motivate re-factoring.
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.
The goal of JavaMelody is to monitor Java or Java EE application servers in QA and production environments. It is a tool to measure and calculate statistics on the real operation of an application depending on the usage of the application by users. JavaMelody is easy to integrate in most applications. JavaMelody is mainly based on charts and statistics of requests, such as memory, CPU, HTTP, EJB, Spring, Guice, JSP, JSF, Struts, or SQL requests.
Opsview Core is a network monitoring software application. It solves the challenges of monitoring modern IT and network systems. It is a drop-in replacement for Nagios Core, with full support for its plugins and 100% compatibility. It is easy to install and configure and is ideal for monitoring applications networks, and Windows, Linux, and Unix servers. VMWare, KVM, Xen, and Microsoft Hyper-V are supported, and Amazon EC2 and other cloud services can be monitored. It works with Opsview Mobile to allow you to monitor your systems on the go.
Embedded Profiler is low-overhead C++ profiler based on automatic instrumentation of functions done by the compiler (GCC, MinGW, or MSVC). Profiling can be done either automatically or manually. Automatic profiling generates a complete call tree and needs no modification of code. Manual profiling requires using the EProfiler API to specify the parts of code to be profiled. The resulting log can be opened in Performance Analyzer, a GUI application with several views designed for comfortable log analysis.
ContiPerf is a lightweight testing utility to easily leverage JUnit 4 test cases as performance tests, e.g. for continuous performance testing. It is inspired by JUnit 4's easy test configuration with annotations, and by JUnitPerf's idea of wrapping Unit tests for performance testing, but is more powerful and easier to use. It uses Java annotations for defining test execution characteristics and performance requirements. You can mark a test to run a certain number of times, or to be repeatedly executed for a certain amount of time. Performance requirements can be maximum, average, medium, or any percentile execution time. You can run tests in two different modes, using them as simple unit tests or performance tests. Easy integration with Eclipse and Maven. Export of an execution summary to a CSV file. A small library without external dependencies (only JUnit).
libLunchbox facilitates the development and deployment of multi-threaded applications. It provides OS Abstraction, using utility classes abstracting common operating system features (such as threads, locks, memory maps, shared library loading, and condition variables), high-performance primitives (including thread-safe utilities tuned for performance, such as atomic variables, spin locks, and lock-free containers), and utility classes (including helper primitives which are not in the standard library, such as logging, pools, and random number generation).