Showing 3 open source projects for "source code"

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    Outbound sales software

    Unified cloud-based platform for dialing, emailing, appointment scheduling, lead management and much more.

    Adversus is an outbound dialing solution that helps you streamline your call strategies, automate manual processes, and provide valuable insights to improve your outbound workflows and efficiency.
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  • Securden Privileged Account Manager Icon
    Securden Privileged Account Manager

    Unified Privileged Access Management

    Discover and manage administrator, service, and web app passwords, keys, and identities. Automate management with approval workflows. Centrally control, audit, monitor, and record all access to critical IT assets.
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  • 1
    Strings Edit

    Strings Edit

    String editing and formatting library for Ada

    Strings edit is a library that provides I/O facilities for integers, floating-point numbers, Roman numerals, and strings. Both input and output subroutines support string pointers for consequent stream processing. The output can be aligned in a fixed size field with padding. Numeric input can be checked against expected values range to be either saturated or to raise an exception. For floating-point output either relative or absolute output precision can be specified. UTF-8 encoded strings...
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  • 2
    SPar: Stream Parallelism in Multi-Cores

    SPar: Stream Parallelism in Multi-Cores

    An Embedded C++ Domain-Specific Language

    SPar is an internal C++ Domain-Specific Language (DSL) suitable to model and implement classical stream parallel patterns. The DSL uses standard C++ attributes to introduce annotations tagging the notable components of stream parallel applications: stream sources and stream processing stages. Latest version can be downloaded from the SVN using the following command: svn checkout svn://svn.code.sf.net/p/spar-dsl-compiler/svn/ spar
    Downloads: 0 This Week
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  • 3
    horizon

    horizon

    Horizon is a realtime, open-source backend for JavaScript apps

    ...Building realtime apps now requires understanding and manually orchestrating multiple systems across the software stack, understanding distributed stream processing, and learning how to deploy and scale realtime systems. The learning curve is quite steep, and most of the initial work involves boilerplate code that is far removed from the primary task of building a realtime app.
    Downloads: 0 This Week
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