Showing 4 open source projects for "task management"

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    Orange Data Mining

    Orange Data Mining

    Orange: Interactive data analysis

    Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox. Perform simple data analysis with clever data visualization. Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections. Interactive data exploration for...
    Downloads: 52 This Week
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    Blue Whale Configuration Platform

    Blue Whale Configuration Platform

    Blue Whale smart cloud configuration platform

    Has accumulated experience in supporting hundreds of Tencent businesses, compatible with various complex system architectures, born in operation and maintenance, and proficient in operation and maintenance. From configuration management to job execution, task scheduling and monitoring self-healing, and then through operation and maintenance big data analysis to assist operational decision-making, it covers the full-cycle assurance management of business operations in a comprehensive manner. The open PaaS has a powerful development framework and scheduling engine, as well as a complete operation and maintenance development training system, which helps the rapid transformation and upgrading of operation and maintenance. ...
    Downloads: 0 This Week
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  • 3
    elder-pt

    elder-pt

    data flow framework for data analysis applications

    Data analysis in nuclear/particle physics experiments is based on data processing of event-by-event data. Each event contains information measured by arrays of detectors. This data has to be combined, processed, interpreted and reduced in size until the physics information of interest is revealed. Eventually, parts of the data is visualized by sorting it into histograms. Elder-Pt is the prototype of a framework, that facilitates the task of event-by-event data analysis. It provides: 1) a...
    Downloads: 0 This Week
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  • 4

    PythonStatsLab

    A collection of useful statistical functions written in Python

    There are functions for numerical integration of the standard normal probability distribution. They can be used to find probabilities, find z-alpha values, calculate confidence interval, etc. New functionality I wish to add are hypothesis testing and calculation of p-value, type I & II errors, etc. These functions would come in handy to anyone taking introductory or intermediate-level courses in probability, statistics and data analysis. There are several numerical integration techniques...
    Downloads: 0 This Week
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