Open Source Ruby Information Analysis Software for Mac

Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich visualizations, template variables, and reusable panels to monitor systems and troubleshoot issues in real time. Grafana includes capabilities such as ad hoc data exploration, alerting, annotations, and flexible query support. Its extensible plugin ecosystem integrates with cloud platforms, databases, and developer tools—allowing teams to build observability workflows without vendor lock-in. The easiest way to get started with Grafana is with Grafana Cloud, our fully managed, full-stack observability platform.

FORTRAN Unit Test Framework, written in FORTRAN 95. So that all FORTRAN features can be tested. FRUIT has assertion, fixture, setup, teardown, report, spec, driver generation. Rake used as build tool. Tutorials at http://fortranxunit.wiki.sourceforge.net The core testing part is in FORTRAN, this part can be used independent of the Ruby codes. The Ruby code is to make fixtures and reports easier. Rake is to build the project elegantly. This project also demonstrate a new way to build mixed language code in an alternative way than Make. Most of the FORTRAN are important in nature, used in nuclear and aerospace codes, etc, and maintained and written actively. Please help to bring TDD practices to the FORTRAN community. The change could be very hard, personally, I quit, since I could not make the change. I hope your organization will be successful. Enjoy a cup of fruit while maintaining FORTRAN ! Andrew Hang Chen and other maintainers who feel importance of TDD in cr

A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented. Project files contain: - simple code to hold/read/write data and perform sample processing. - BioC-formatted corpora - BioC tools that work with BioC corpora BioC goals - simplicity - interoperability - broad use - reuse There should be little investment required to learn to use a format or a software module to process that format. We are interested in reuse, and we focus on common NLP tasks that are broadly useful for textmining.

FRIDA (flexible rapid interactive data analysis) is a generic program for manipulating, fitting, and plotting x,z,y data. It is primarily aimed at spectral analysis, especially in neutron scattering. Note: project has moved away from sf.net.

HoneyC is a low interaction client honeypot / honeyclient that allows identify rogue servers on the web.

A resource for political accountability; a compilation of statistics and information on Canadian Members of Parliament, and possibly other levels of government. The project includes the website code, as well as the tools used to extract the informati

The Phenoscape project attempts to formalize the description of evolutionary characters to make them interoperable and computable with the body of phenotype annotation being generated by model organism databases, and other biomedical research.

Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.

Tournament Director is a comprehensive software suite designed to aid tournament directors at quiz bowl tournaments. It tracks stats, creates schedules, designs handouts, and follows accepted conventions for sharing information.

A collection of software made by Milos Rancic.

rSIGNAL - ruby Simple Inter-Interface Generic Aggregation Layer. It allows external data sources to be aggregated, store the aggregated data and print the aggregated data out in a transformed format to a file (or integrated HTTP server) on demand.