Open Source Python Information Analysis Software for Linux

Python Information Analysis Software for Linux

View 11 business solutions

Browse free open source Python Information Analysis Software for Linux and projects below. Use the toggles on the left to filter open source Python Information Analysis Software for Linux by OS, license, language, programming language, and project status.

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  • 1
    ConDEnSE (Confidential Data Enabled Statistical Exploration) will be a web-based environment for statistical analysis of confidential data from various database sources, based on Plone and R, and using the Jackknife method of confidentiality protection.
    Downloads: 0 This Week
    Last Update:
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  • 2
    Green Cloud Online portal

    Green Cloud Online portal

    Green cloud: A versatile sensor based precision agriculture system, in

    In Green Cloud here is a central global server which does the work of global database management along with providing complex analysis services for the users (farmers, scientists) through the client machines and the public access web portal. The existing agricultural databases throughout the world can also be used for inference purposes and their data may also be updated by our server. The meteorological servers can be accessed for climate data.This server-client architecture mandatory in present and even near-future circumstances as the client machine has to be low-power and low-cost for the feasibility of the system in Indian context. Therefore, the complex analysis (Expert system analysis in accordance with world-wide data) has to be done on server. The environment data is collected via sensors is uploaded to the website
    Downloads: 0 This Week
    Last Update:
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  • 3
    Soma-direct

    Soma-direct

    System Omnichannel Marketing Analysis

    Soma - System Omnichannel Marketing Analysis is an open-source solution for simplifying the processes of analyzing and predicting consumer behavior. With Soma, you can combine data from multiple systems and channels in the profile joining process. Interactions and behaviors registered as a part of a unique user create and show what a Customer Journey looks like. The data is subjected to an analysis process which enables the examination of the significance of individual touchpoints for the purchasing process.
    Downloads: 0 This Week
    Last Update:
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