Showing 2 open source projects for "python data analysis"

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    TURF

    TURF

    A modular geospatial engine written in JavaScript

    Turf is a JavaScript library for spatial analysis. It includes traditional spatial operations, helper functions for creating GeoJSON data, and data classification and statistics tools. Turf can be added to your website as a client-side plugin, or you can run Turf server-side with Node.js. Modular, simple-to-understand JavaScript functions that speak GeoJSON. Turf is a collection of small modules, you only need to take what you want to use.
    Downloads: 7 This Week
    Last Update:
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    SSDB

    SSDB

    A fast NoSQL database, an alternative to Redis

    ...SSDB is stable, production-ready and is widely used by many Internet companies including QIHU 360. LevelDB client-server support, written in C/C++. Designed to store collection data. Persistent key-value, key-zset, key-map('hashmap'), key-list storage. Redis clients are supported. Client API supports including C++, PHP, Python, Cpy, Java, nodejs, Ruby, Go(see all). Persistent queue service. Replication(master-slave), load balance. GUI administration tool(phpssdbadmin). Built-in CLI nagios self-checks. Benchmarks are taken by ssdb-bench(SSDB) and redis-benchmark(Redis). ...
    Downloads: 0 This Week
    Last Update:
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