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@HMS-Analytical-Software

HMS Analytical Software

Turning Data Into Value

Code-Create-Collaborate

💡 Who are we?

We are HMS Analytical Software GmbH, a seasoned provider of custom software solutions and data science services based in beautiful Heidelberg, Germany. With 30+ years of experience, our tech-savvy team delivers cutting-edge applications tailored to a wide range of industries.

🔍 Why are we on GitHub?

We're here to connect with the developer community, collaborate on exciting projects, and contribute to open-source initiatives. Together, we leverage collective expertise to drive innovation in software development and data science.

🛠️ Our current projects

  • SASUnit - the Unit testing framework for SAS(R) programs.
  • goGitAlchemist - A tool for setting up git repositories from a simple config file. The ideal companion for git tutorials!

⚡ Join the HMS team

Passionate about software development and data science? Join our team at HMS Analytical Software! We offer exciting projects, open-source collaboration, and growth opportunities. Explore careers with us and shape the future of tech. Check out our current job offers here.

Popular repositories Loading

  1. GitAlchemist GitAlchemist Public archive

    GitAlchemist is a small framework for creating bare repositories from config files with a pre-defined history of commits.

    Python 5

  2. SASUnit SASUnit Public

    SASUnit is a unit testing framework for SAS(TM)-programs. It can be used for the development, execution and automatic documentation of tests for SAS programs.

    SAS 3

  3. goGitAlchemist goGitAlchemist Public

    goGitAlchemist is a tool for creating git repositories from config files with a pre-defined history of commits.

    Go 3 1

  4. .github .github Public

    1

  5. SQL-in-Container SQL-in-Container Public

    Resources for demoing usage of MSSQL in container environments

    TSQL 1 1

  6. hms-sdmx-lab-notebooks hms-sdmx-lab-notebooks Public

    This repository contains Jupyter notebooks with examples of how to interact with the SDMX Lab via the REST API

    Jupyter Notebook 1 1

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