Search Results for "python data analysis"
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Showing 9 open source projects for "python data analysis"
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Iris Powered By Generali - Iris puts your customer in control of their identity.Iris Identity Protection API sends identity monitoring and alerts data into your existing digital environment – an ideal solution for businesses that are looking to offer their customers identity protection services without having to build a new product or app from scratch.
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The AI workplace management platformBy combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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pyNETVARS
Python module for network variables for CoDeSys PLCs
CoDeSys v2.3 supports so called network variables. Blocks of (global) variables, that propagates over networks like TCP, UDP or UDP Multicast aso. This python module supports parsing, receiving and sending those blocks (with UDP Multicast only). With this you can add for example a Raspberry Pi Sensor to your automation network without special Network clients on your PLC. -
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mod_openopc
just plain WORKS
mod_openopc is a full featured implementation of the OpenOPC library for Python. It is cross platform compatible (full Python 2.5 and up). We used to recommend running it on a POSIX platform (Unix / Linux), but thanks to modest efforts since 2014, performance in Windows OS environments is excellent. -
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Taurus
A python based User Interface library.
The Taurus Project has *moved* to: https://github.com/taurus-org/taurus This SourceForge page is *outdated* and kept for historical reference only. Taurus is a python framework for control and data acquisition CLIs and GUIs in scientific/industrial environments. It supports multiple control systems or data sources: Tango, EPICS, ... New control system libraries and data sources can be integrated through plugins. -
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Generic directory service (for the EPICS tool set). Directory entries are channels with properties and tags. Applications can query a web service to retrieve channels based on wildcard matching on properties and tags, and manipulate the directory data. Code has been moved to GitHub at https://github.com/ChannelFinder
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The full-stack observability platform that protects your dataLayer, tags and conversion dataCode-Cube.io detects issues instantly, alerts you in real time and helps you resolve them fast. No manual QA. No unreliable data. Just data you can trust and act on.
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Data logger, manipulator and visualizer. Receives data in CSV format from stdio.
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syphon is an extension for mod_openopc, to monitor telnet devices (serial devices) that sit on Serial -to- Ethernet bridges (such as barcode scanners) and export parsed data to an OPC compliant device (such as a PLC).
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Cross platform (python 2.5) tool for exporting data via SMTP (email) to an Endress-Hauser Fieldgate DM3 Server. This tool may be used with any MySQL database historian, even though it was originally an extension for mod_openopc.
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OPyCua
OPC UA communication stack written in python
The goal of this project is to implement an OPC UA communication stack using the python programming language. Currently we are working on a series of articles, describing how we can use python to implement the communication stack. Some code snippets have already been written! -
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Flexible Alarms Creator
Create Wincc Flexible alarms from Data Blocks of Simatic Manager
This is an application for creating alarms and PLC tags for Wincc Flexible (Siemens HMI Software) from one or several Data Blocks (DB) of the Simatic Manager. The application creates two files that can be imported in Wincc Flexible. -
SoftCo: Enterprise Invoice and P2P Automation SoftwareSoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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