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Gen AI apps are built with MongoDB Atlas
Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Java-based Dialect of the Unicon Programming Language
Junicon is a Java-based implementation of Unicon, a very high level object-oriented goal-directed programming language that lives at Unicon.org. Junicon features seamless Java object access, interactive interpretation, and numerous cleanups and enhancements while retaining Unicon's core expression-evaluation semantics.
Please see the Junicon Project Web Site for publications about Junicon.
BCU SDK is a C based, high level development system for creating programs for EIB/KNX BCU devices. It includes the GNU toolchain for the m68hc05 architecture (m68hc05-gcc, m68hc05-gdb, newlib). Bus access is possible using multiple methods.
Mouseth is a cross between the Mouse and Forth programming languages.
The programs are compiled to a very compact, machine independant bytecode, which can then be run on its extremely small virtual machine.
zCOBOL portable mainframe COBOL compiler, part of the z390 project
The zCOBOL portable mainframe COBOL compiler with support for compiling multiple dialects of COBOL into any one of several target language executable programs including HLASM compatible mainframe assembler, Java, C++, or Intel assembler. All downloads and other information are kept at the z390 project site; see the home page link for more information.
With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.