Showing 3 open source projects for "big data"

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  • 1
    Counter

    Counter

    Web Analytics made simple

    ...The backend is designed to be resource-light while still providing the essential metrics teams care about, such as page views, referrers, and basic geography. Rather than storing everything in a monolithic database, it combines a fast in-memory store for hot data with archival to a traditional SQL store for long-term retention. The client snippet is tiny and cookieless, which helps reduce layout shift and keeps page performance high. Because it’s a small Go service with a straightforward architecture, it can be self-hosted easily and integrated into existing stacks. The philosophy is to deliver “just enough” analytics for dashboards and reporting without the overhead or tracking footprint of big-box platforms.
    Downloads: 0 This Week
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  • 2
    csv-parser

    csv-parser

    Streaming csv parser inspired by binary-csv that aims to be faster

    csv-parser is a streaming CSV parsing library for Node.js designed for efficiency and correctness. It implements the stream API native to Node, allowing you to pipe a file or readable stream into the parser and process each row (as a JavaScript object or array) as soon as it's parsed — which is crucial for handling large CSV files without loading them entirely into memory. The parser handles standard CSV semantics including quoted fields, variable delimiters, escape sequences, and optional...
    Downloads: 4 This Week
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  • 3
    Flamingo Project

    Flamingo Project

    Workflow Designer, Hive Editor, Pig Editor, File System Browser

    Flamingo is a open-source Big Data Platform that combine a Ajax Rich Web Interface + Workflow Engine + Workflow Designer + MapReduce + Hive Editor + Pig Editor. 1. Easy Tool for big data 2. Use comfortable in Hadoop EcoSystem projects 3. Based GPL V3 License Supporting Pig IDE, Hive IDE, HDFS Browser, Scheduler, Hadoop Job Monitoring, Workflow Engine, Workflow Designer, MapReduce.
    Downloads: 0 This Week
    Last Update:
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