5 projects for "parallel" with 2 filters applied:

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    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

    Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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  • 1
    Starlark in Go

    Starlark in Go

    Starlark in Go: the Starlark configuration language, implemented in Go

    ...The Go-based interpreter allows developers to run or embed Starlark programs directly within Go applications, extending them with user-defined scripts and configurable logic. Unlike Python, Starlark supports parallel execution across multiple threads and maintains deterministic behavior, making it suitable for scalable and reproducible workloads. It offers familiar syntax features such as dictionaries, lists, and first-class functions with lexical scoping.
    Downloads: 4 This Week
    Last Update:
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  • 2
    BMDFM

    BMDFM

    Binary Modular DataFlow Machine (BMDFM)

    ...The BMDFM dynamic scheduling subsystem performs a symmetric multiprocessing (SMP) emulation of a tagged-token dataflow machine to provide the transparent dataflow semantics for the applications. No directives for parallel execution are needed. More info: http://www.bmdfm.com
    Downloads: 0 This Week
    Last Update:
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  • 3
    OK

    OK

    Welcome to the future of programming languages

    ...The language emphasises readability and pushing logic out into functions so cases remain simple. It includes concurrency via a map function that executes callbacks in parallel. The project is illustrative of Duffield’s vision: code should feel “magical to write” by removing what is unnecessary.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Chapel

    Chapel

    a Productive Parallel Programming Language

    Chapel is an emerging parallel programming language whose design and development are being led by HPE in collaboration with academia, computing labs, and industry. Chapel's goal is to improve the productivity of parallel programmers, from laptops to supercomputers. **Please note that Chapel development has moved to GitHub**
    Downloads: 0 This Week
    Last Update:
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    HOA Software

    Smarter Community Management Starts Here

    Simplify HOA management with software that handles everything from financials to communication.
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  • 5
    PARUS

    PARUS

    Dataflow parallel programming language for clusters

    PARUS is a data-flow parallel programming language that allows to build parallel programs for clusters and MPP multiprocessors. The data-flow graph is automatically converted to the C++/MPI source and linked with the libparus runtime library. Also there are available tools for benchmarking cluster interconnect and visualize it.
    Downloads: 1 This Week
    Last Update:
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