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Grafana: The open and composable observability platform
Faster answers, predictable costs, and no lock-in built by the team helping to make observability accessible to anyone.
Grafana is the open source analytics & monitoring solution for every database.
Totum is a no-code/low-code platform for creating data-driven business apps and dashboards. It uses a spreadsheet-like interface to let users define logic, automate processes, and build complex forms and workflows without traditional programming. Totum-MIT is the open-source core of this system, designed for internal business tools and enterprise apps.
Aguacate is a framework with focus on implement business logic functionality, using configuration files (json) instead of programming.
See the wiki and the videos
See https://github.com/mcnew/aguacate-swagger-demo for a functional demo using docker-compose
Videos in Spanish: https://www.youtube.com/playlist?list=PLSHQIkodyHroW2XF7BWCrymDv_Nlj7HRS
This is a suite of mathematical software solvers GUI
This is a suite of mathematical software solvers interface on DLV and other command-line solvers. It helps researchers and students to better comprehend their declarative definitions published on papers. The user can have links to the related papers and to the software of the corresponding definitions.
Xcerpt is a Query and Transformation Language for XML and Semistructured data. Instead of the navigational approach of XPath-based languages like XSLT or XQuery, Xcerpt uses patterns for querying and is based on concepts of logicprogramming like unifica
Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
A declarative logicprogramming system with first-class relations
embedded in a pure functional subset of Scheme. The system has true
unions, fair scheduling, lexically-scoped logical variables,
set-theoretical semantics, high performance without cuts
ARMR provides a foundation for creating an efficient in-memory database. Its unique list processing structures simplify programminglogic and allow the developer to rapidly sort, group, and select data. Give your app a hypercard like capability.
A knowledge base engine for Python built on F-Logic. It uses the FLORA-2 reasoning engine and provides permanent storage through ZODB. Logicprogramming concepts like logical variables, facts, rules and queries are included.