Showing 5 open source projects for "python3-atgh"

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  • 1
    CodeChecker

    CodeChecker

    CodeChecker is an analyzer tooling, defect database

    CodeChecker is a static analysis infrastructure built on the LLVM/Clang Static Analyzer toolchain, replacing scan-build in a Linux or macOS (OS X) development environment. Executes Clang-Tidy and Clang Static Analyzer with Cross-Translation Unit analysis, Statistical Analysis (when checkers are available). Creates the JSON compilation database by wiretapping any build process (e.g., CodeChecker log -b "make"). Automatically analyzes GCC cross-compiled projects: detecting GCC or Clang...
    Downloads: 3 This Week
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  • 2

    Customer Records

    Basic GUI For Recording Your Clients Essential Data

    Basic GUI for recording your clients essential data using SQL database. Rapidly pull up recorded data when required by utilizing the clients telephone number. Program uses an internal SQL system which can only be used locally. Update: - In the upcoming version (v2.0), remote SQL servers will be supported Requirements: - Python 3.9 How To Run: - Windows: Just Run Customer Records.py file - Mac / Linux. - Open Terminal & Navigate To The Program Files & Type "python3...
    Downloads: 0 This Week
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  • 3
    Thesa

    Thesa

    It is a Platform to connect to tryton (json-rpc) and is based on qt

    ...: https://download.qt.io/official_releases/QtForPython/pyside2/ Run: python3 main.py you can find source code in: https://github.com/numaelis/thesa
    Downloads: 0 This Week
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  • 4

    Python DB-API 2.0 module for ADO

    Use Microsoft ADO to read/write most data bases.

    Python module that makes it easy to use Microsoft ADO for connecting with databases and other data sources. For CPython users, this module is included as part of pywin32 (https://github.com/mhammond/pywin32), and continued support will take place there. This fork will be maintained for Iron Python users. * Documentation at http://adodbapi.sourceforge.net/quick_reference.pdf or quick_reference.odb in the .zip
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    Downloads: 6 This Week
    Last Update:
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    Cloud data warehouse to power your data-driven innovation

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  • 5
    QAL

    QAL

    Query Abstraction Layer

    ...) 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. It is related the Optimal BPM project, see its Optimal Sync application for usage examples. The text of this page is released under the Creative Commons Zero Waiver 1.0 (CC0).
    Downloads: 0 This Week
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