Showing 6 open source projects for "python data analysis"

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    Secure User Management, Made Simple | Frontegg

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    Sage Intacct Cloud Accounting and Financial Management Software

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  • 1
    CamShaft
    Calculation of camshafts - allows to define a camshaft profile on the set trajectory which should provide the given mechanism. The trajectory can be set graphically, co-ordinates or function.
    Downloads: 0 This Week
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  • 2
    Libraries, documentation, examples & drivers for Eagle Technology South Africa's Data Acquisition products. These include ISA, PCI, PCI Express, USB, Serial & Ethernet. Supported languages will be C/C++, JAVA, Perl, Python.
    Downloads: 0 This Week
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  • 3
    microtransat
    A project to host code developed for the Microtransat challenge, a race between autonomous sailing robots. This project is intended for both supporting code such as tracking systems and robot control systems or parts of robot control systems.
    Downloads: 0 This Week
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  • 4
    icramcode
    This is the public icram.de code repository filled with code/code-snippets and other useful stuff.
    Downloads: 0 This Week
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  • Track time for payroll, billing and productivity Icon
    Track time for payroll, billing and productivity

    Flexible time and billing software that enables teams to easily track time and expenses for payroll, projects, and client billing.

    Because time is money, and we understand how challenging it can be to keep track of employee hours. The constant reminder to log timesheets so your business can increase billables, run an accurate payroll and remove the guesswork from project estimates – we get it.
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  • 5
    Concurrent vision processing system; Toolkit for easy implementation of software concurrent vision processing sub-system. Aimed at robotic applications w/best effort realtime. System includes: capture,processing and displaying.
    Downloads: 0 This Week
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  • 6
    UGLi ML: The Undirected Graphical Library for Machine Learning. Easy, agile learning and inference from structured/relational data using Markov Networks and Conditional Random Fields.
    Downloads: 0 This Week
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