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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.
New home to HbQt, HbIDE & HbDBU once Harbour SVN hosted contribs.
This is the repository to host all those Harbour's contrib libraries and applications which could not comply with strict Harbour project goals but had the potentiality to march into the future.
The goal is to keep this repository parallel with Harbours contrib and use the same build system which Harbour uses. This way it will be possible easily to shift any library/application from here to Harbour or vice-verse.
As I am totally ignorant of Harbour's build system, it will be appreciated if someone knowledgeable take over this responsibility, which might be one-time task.
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Tsunami is an open-source high performance computing language. With it you can write streaming data-parallel algorithms that utilize GPGPUs for orders-of-magnitude speed-up with the ease of writing sequential algorithms.
LIME (Less-is-More) is parallel/concurrent programming environment based on C. Internally, it uses XML technology to describe tasks and their dependencies. Externally, it offers the ANSI C99 programming as well as a set of visually-oriented interfaces.
42 has six primary goals: foster extreme code reuse; run faster than C; compile to both software and hardware; run faster on reconfigurable computers; support parallel programming; and allow users to extend the language.
AI-based, Comprehensive Service Management for Businesses and IT Providers
Modular solutions for change management, asset management and more
ChangeGear provides IT staff with the functions required to manage everything from ticketing to incident, change and asset management and more. ChangeGear includes a virtual agent, self-service portals and AI-based features to support analyst and end user productivity.
The CodeTime platform covers every aspect of parallel software from authoring, through distribution, to run-time. Its goals are: high programmer productivity; write once, run high performance anywhere; and wide acceptance.
A data parallel scientific programming model. Compiles efficiently to different platforms like distributed memory (MPI), shared memory multi-processor (pthreads), Cell BE processor, Nvidia Cuda, SIMD vectorization (SSE, Altivec), and sequential C++ code.
The Minions programming language makes it easy to write performant, highly parallel programs. Minions are especially good at web apps. Minions like the web.