Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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MongoDB Atlas runs apps anywhere
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
The best library to work with .Net Assemblies in C/C++.
The .Net Native Interface Library (DotNetNativeInterface) is a native programming interface which provides a way for C/C++ programming language to interact with applications and libraries written in any of the .Net languages (such as C#, VB.Net etc). Programmers can use DotNetNativeInterface native methods to access .Net 3rd party libraries or .Net Framework Libraries without the need for registry entries, COM registrations or changes to the .Net libraries.
The following examples...
Unit testing framework for Fortran with MPI extensions
...And will be completely removed from sourceforge on January 01, 2020
Please use:
https://github.com/Goddard-Fortran-Ecosystem/pFUnit
GitHub has been the primary host for some time now, but with the release of pFUnit 4.0 earlier in 2019, the sourceforge site is very out of date.
The STAR-MPI (Self-tuned adaptive routines for MPI collective routines) project is an on-going research and development effort to apply the adaptive software approach to develop efficient MPI collective routines across platforms and applications.
A compiler and cross-compiler for (Currently) Cobol (with Fortran being added later). It is intended to be the first self-hosted open-source Cobol Compiler, e.g. the compiler itself will be written using Cobol.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.