Showing 5 open source projects for "python script notepad"

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    Employees get more done with Rippling

    Streamline your business with an all-in-one platform for HR, IT, payroll, and spend management.

    Effortlessly manage the entire employee lifecycle, from hiring to benefits administration. Automate HR tasks, ensure compliance, and streamline approvals. Simplify IT with device management, software access, and compliance monitoring, all from one dashboard. Enjoy timely payroll, real-time financial visibility, and dynamic spend policies. Rippling empowers your business to save time, reduce costs, and enhance efficiency, allowing you to focus on growth. Experience the power of unified management with Rippling today.
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  • Remote Network Monitoring and Management for an IoT World Icon
    Remote Network Monitoring and Management for an IoT World

    The Only RMM Solution You Need

    Domotz is the premier Remote Network Monitoring and Management platform for IoT. We offer powerful network management software for MSP's, Integrators, Security Professionals, and Business Owners. Domotz enables the complete solution to cost-effectively manage and monitor your customers’ networks with plug and play setup, a friendly UX, and a comprehensive feature set, accessible from any desktop browser or mobile device. Utilize one interface to manage multiple networks at multiple locations anywhere in the World. One person can deploy remote monitoring and management in less than 15 minutes.
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  • 1
    DataStation Community Edition

    DataStation Community Edition

    App to easily query, script, and visualize data from every database

    ...It allows you to easily build graphs and tables with data pulled from SQL databases, logging databases, metrics databases, HTTP servers, and all kinds of text and binary files. Need to join or munge data? Write embedded scripts as needed in languages like Python, JavaScript, R or SQL. All in one application. Build reports with graphs, charts and tables. Script against data. Cross-platform: Windows, macOS, and Linux. Easily fetch your data, wherever it is: 18 SQL and non-SQL databases, files, HTTP server. Over 20 supported databases out of the box including: PostgreSQL, MySQL, MariaDB, SQLite, SQL Server, Oracle, ClickHouse, Influx 1 (InfluxQL), Influx 2 (Flux), Prometheus, Elasticsearch, AWS Athena, Google BigQuery, Snowflake, Cassandra, Scylla, TimescaleDB, YugabyteDB, CockroachDB, CrateDB, QuestDB, and Airtable.
    Downloads: 0 This Week
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  • 2
    QuickPlot

    QuickPlot

    Simple user interface for gnuplot aimed for reflectometry data

    Graphical user interface for gnuplot to create publication quality figure very quickly. It supports templates for fast formatting of graphics, different plot styles, insets, axis and label options. One important feature is storing metadata in png and pdf files that can be used to reload any graph saved with QuickPlot.
    Downloads: 20 This Week
    Last Update:
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  • 3
    SPIW - Scanning Probe Image Wizard

    SPIW - Scanning Probe Image Wizard

    Scanning Probe Image Wizard - MATLAB Toolbox

    ...SPIEPy brings many SPIW algorithms to the Python user.
    Downloads: 0 This Week
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  • 4
    The VRML97-Import-Script is a Python-Script, that extends the capabilities of Blender to import VRML97-Files. It supports Blender since version 2.42.
    Downloads: 0 This Week
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  • Intelligent Retail Management Icon
    Intelligent Retail Management

    Retail space, product categories, planograms, automatic ordering, and shelf labels management

    Quant offers a wide range of solutions for retail. Within one integrated software system, it allows you to efficiently combine the management of retail space, shelf labels and marketing materials with task management, reporting and automatic replenishment.
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  • 5
    A python package which aids in the analysis of ViEWER (http://www.webpages.uidaho.edu/~bdyre/viewer.htm) epoch logs. A wxPython GUI helps the user build a python script which uses the package to perform timeseries and spectral analyses.
    Downloads: 0 This Week
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