Showing 9 open source projects for "low code"

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  • 1
    oneAPI.jl

    oneAPI.jl

    Julia support for the oneAPI programming toolkit.

    Julia support for the oneAPI programming toolkit. oneAPI.jl provides support for working with the oneAPI unified programming model. The package is verified to work with the (currently) only implementation of this interface that is part of the Intel Compute Runtime, only available on Linux. This package is still under significant development, so expect bugs and missing features.
    Downloads: 1 This Week
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  • 2
    Go Recipes

    Go Recipes

    Collection of handy tools for Go projects

    Visualize the distribution of code coverage in your project. This helps to identify code areas with high and low coverage. Useful when you have a large project with lots of files and packages. This 2D image-hash of your project should be more representative than a single number. For each module, the node representing the greatest version (i.e., the version chosen by Go's minimal version selection algorithm) is colored green.
    Downloads: 0 This Week
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  • 3
    QuantumClifford.jl

    QuantumClifford.jl

    Clifford circuits, graph states, and other quantum Stabilizer tools

    A Julia package for working with quantum stabilizer states and Clifford circuits that act on them. Graphs states are also supported. The package is already very fast for the majority of common operations, but there are still many low-hanging fruits performance-wise. See the detailed suggested readings & references page for background on the various algorithms.
    Downloads: 0 This Week
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  • 4
    ParallelStencil.jl

    ParallelStencil.jl

    Package for writing high-level code for parallel stencil computations

    ParallelStencil empowers domain scientists to write architecture-agnostic high-level code for parallel high-performance stencil computations on GPUs and CPUs. Performance similar to CUDA C / HIP can be achieved, which is typically a large improvement over the performance reached when using only CUDA.jl or AMDGPU.jl GPU Array programming. For example, a 2-D shallow ice solver presented at JuliaCon 2020 [1] achieved a nearly 20 times better performance than a corresponding GPU Array...
    Downloads: 0 This Week
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  • 5
    GeoTools, the Java GIS toolkit

    GeoTools, the Java GIS toolkit

    Toolkit for working with and mapping geospatial data

    GeoTools is an open source (LGPL) Java code library which provides standards compliant methods for the manipulation of geospatial data. GeoTools is an Open Source Geospatial Foundation project. The GeoTools library data structures are based on Open Geospatial Consortium (OGC) specifications.
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    Downloads: 394 This Week
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  • 6

    MTTK Open BI

    A user-friendly lightweight BI tool.

    A user-friendly lightweight BI tool. It is a set of plugins of MTTK Lowcode Engine, so the user manual and develop manual are combined together with MTTK Low Code Engine. Code repository: https://github.com/jamie-mttk/mttk-lowcode-designer Online demo available at http://139.129.210.30:8825 (First visit may be slow) Username: admin Password: 123456 Lightweight No data processing engine offered, all the data processing depends on the target Databse Server. Easy to use For example ,to build an echart need to provide many many configurtaions/options, such as title location, grid position,etc. ...
    Downloads: 0 This Week
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  • 7
    GXSM

    GXSM

    Scanning Probe Microscopy Controller and Data Visualization Software

    ...High-Speed external PAC-PLL hardware option with digital DSP link. Based on several hardware options it supports a commercially available DSP hardware and provided also Open Source Code for all the low level signal processing tasks and instrument controls in a most flexible and adaptable manner. All latest software is available via github.com/pyzahl/Gxsm4 (source code) or as binary for Ubuntu on https://launchpad.net/~totto/+archive/ubuntu/gxsm
    Downloads: 0 This Week
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  • 8
    NanoCap

    NanoCap

    Carbon Fullerene and Capped Nanotube Generator

    NanoCap is a generic application for the construction of low energy fullerene and capped nanotube structures. It provides an ideal tool to accompany the study of finite carbon molecules using computer simulation. The implementation involves a standalone application which includes a GUI and allows for dynamic visual inspection through 3D rendering. In addition, the NanoCap core libraries can be used in custom Python scripts that enabled the user to produce structures in bulk or to include the structure generation routines into pre-existing code.
    Downloads: 2 This Week
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  • 9
    QuickFlash is a C++-based analysis library for data files generated by the Flash hydrodynamics code. It provides high-performance access to large datasets in low memory situations and other restrictive environments.
    Downloads: 0 This Week
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