3 projects for "mysql-python" with 2 filters applied:

  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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    Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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  • 1
    Minsky

    Minsky

    System dynamics program with additional features for economics

    Minsky brings system dynamics and monetary modelling to economics. Models are defined using flowcharts on a drawing canvas (as are Matlab's Simulink, Vensim, Stella, etc). Minsky's unique feature is the "Godley Table", which uses double entry bookkeeping to generate stock-flow consistent models of financial flows. Minsky is good for demonstrating mathematics too, with the most "math-like" interface in system dynamics. Sign up to Minsky's Patreon page (for as little as $1 a month) at...
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    Downloads: 44 This Week
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  • 2
    Bonita

    Bonita

    A DPA process-based application platform with a workflow engine

    Bonitasoft fully supports digital operations and IT modernization with Bonita, an open-source and extensible platform for automation and optimization of business processes. The Bonita platform accelerates development and production with clear separation between capabilities for visual programming and for coding. Bonita integrates with existing information systems, orchestrates heterogeneous systems, and provides deep visibility into processes across the organization. Learn more at...
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    Downloads: 172 This Week
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  • 3
    QAL

    QAL

    Query Abstraction Layer

    ...Sources and destinations include different SQL and NoSQL backends, file formats like .csv, XML and excel. Even untidy HTML web pages. It has a database abstraction layer that supports connectivity to Postgres, MySQL, DB2, Oracle, MS SQL server. JSON and MongoDB is coming. It uses XML/JSON formats(self-generated SQL schemas) for representing queries, transformation and merging, making it scriptable. This means that QAL can be backend agnostic about a subset of SQL features and data types. Of course custom SQL:s are also supported. It is currently distributed as a Python 3 Library (pip3 install python3-qal) and Debian .deb package. ...
    Downloads: 0 This Week
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