Search Results for "improve"

Continuous profiling for analysis of CPU, memory usage over time, and down-to-the-line number. Saving infrastructure costs, improving performance, and increasing reliability. A single profiler, using eBPF, automatically discovers targets from Kubernetes or systemd across the entire infrastructure with very low overhead. Supports C, C++, Rust, Go, and more. Both producing pprof formatted profiles with the eBPF-based profiler and ingesting any pprof formatted profiles allowing for wide...

... for surveillance capitalism. Google Analytics is frustrating to use, difficult to understand, slow to load and privacy-invasive too. Plausible Analytics is built for privacy-conscious site owners. You get valuable and actionable stats to help you improve your efforts while your visitors keep having a nice and enjoyable experience. Plausible is simple analytics. It is easy to understand and it cuts through the noise.

OpenMRS is a community-developed, open source, enterprise electronic medical record system. Our mission is to improve health care delivery in resource-constrained environments by coordinating a global community to creates and support this software.

AsphaltOpen is a project to visualize data collected during road asphalting operations. Asphalt contractors can use the software to visualize their operations, learn from the visualizations, and improve their processes continually.

K people is a software platform capable of integrating with enterprise systems. It enables workers to improve productivity, while giving management the the means to plan and monitor activity.

Fuzzy logic add-in for OpenOffice.org Calc. InrecoLAN FuzzyMath allows to perform ordinary arithmetic operations and use ordinary mathematical and financial functions with fuzzy numbers. Have any ideas how to improve this project - you are welcome!

This project is a compilation of tools/libraries to help with tasks related to Text Analytics mainly in Java. These tools range from simple wrappers to sophisticated mining tasks that can improve the productivity of researchers and engineers.

AliCS is a cognitive software whose main goal is to improve the visibility of information by eliminating the troubles created by the redundancy of symbols.

SNNSraster is a utility for quick ANN analysis of raster GIS maps with the use of Stuttgart Neural Network Simulator trained network files. It was developed to read and write binary raster files. SNNSraster is a project of the Geography Laboratory of the University of Siena. The code was developed by Giancarlo Macchi Jánica between 2006 and 2007. SNNSraster's fundamental objective is to improve the ability to integrate the use of artificial neural networks in GIS environments.