2 projects for "control flow graph" with 2 filters applied:

  • Enterprise-grade ITSM, for every business Icon
    Enterprise-grade ITSM, for every business

    Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.

    Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
    Try it Free
  • Ship Agents Faster Icon
    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

    Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
    Get Started Free
  • 1
    git-flow-next

    git-flow-next

    Git extensions to provide high-level repository operations

    git-flow-next is a branching model and a set of command-line extensions tailored to enforce that branching model for Git repositories. The underlying workflow was first described in 2010 and is designed around two long-lived branches (master (or main) for production-ready code, and develop for integration) and multiple supporting short-lived branches (feature, release, hotfix) for day-to-day development. With git-flow, each type of branch has explicit purpose and merge rules: features merge...
    Downloads: 2 This Week
    Last Update:
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  • 2
    Albedo

    Albedo

    A recommender system for discovering GitHub repos

    Albedo is an open-source recommender system aimed at helping developers discover GitHub repositories by learning from activity signals. It treats repositories and developers as a graph of interactions and applies large-scale matrix factorization to model affinities, with Apache Spark providing the distributed data processing. The project focuses on implicit feedback—stars, watches, and other engagement metrics—so it can build useful recommendations without explicit ratings. A reproducible...
    Downloads: 0 This Week
    Last Update:
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