Showing 4 open source projects for "ordering"

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  • 1
    Scalaz

    Scalaz

    Principled Functional Programming in Scala

    ...Its type class–oriented design lets you write generic algorithms over capabilities rather than concrete types, improving reuse and testability. Scalaz also contributes optics, equality/ordering abstractions, and lawful instances with property-based tests to ensure algebraic laws hold. While the Scala ecosystem now includes sibling projects, Scalaz remains a deep toolbox for principled FP in Scala and a reference point for category-theory-inspired design on the JVM.
    Downloads: 0 This Week
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  • 2
    Diffy

    Diffy

    Find potential bugs in your services with Diffy

    ...By using live traffic rather than synthetic tests, Diffy surfaces edge cases and data-dependent discrepancies that unit tests often miss. It provides mechanisms to normalize noise (timestamps, IDs, ordering) so diffs reflect meaningful regressions rather than incidental variance. Results are aggregated and visualized so teams can triage by endpoint, response field, or error type, turning release validation into a data-driven process. Built on Twitter’s Finagle stack, Diffy demonstrates a practical pattern for continuous verification and safer deployments in microservice environments.
    Downloads: 0 This Week
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  • 3
    FlockDB

    FlockDB

    A distributed, fault-tolerant graph database

    FlockDB is a specialized graph / adjacency-list storage system designed for high performance in large-scale, low-latency, real-time environments. It was developed at Twitter to store social graph data (followers, following, blocks, etc.) and secondary indexes. FlockDB emphasizes horizontal scalability, replication, and support for high rates of writes and updates, as well as efficient paging through very large result sets. It is not a general graph database in the sense of supporting complex...
    Downloads: 0 This Week
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  • 4
    Kestrel

    Kestrel

    Simple, distributed message queue system (inactive)

    Kestrel is a simple, distributed message queue system built originally by Twitter. Its design is relatively lightweight and is engineered for speed and simplicity. Kestrel supports queuing patterns such as enqueue, dequeue, and delayed re-enqueue (for example, when a consumer fails to process a message). It stores messages persistently on disk with a memory-backed cache, allowing recovery in case of failures. Because it is intended for relatively simple use cases, it does not provide the...
    Downloads: 1 This Week
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