We welcome your ideas to improve GreenMask. Let us know what you’d like to see next — we're building this together.
To get started, head over to our GitHub Issues page. If you haven’t already, log in or create a GitHub account — it only takes a minute.
Click on “New Issue”. Describe your idea clearly: give it a short title, explain the purpose, and provide a real-world usage scenario so we understand the context.
Once submitted, your idea enters our public backlog. We regularly review all incoming requests and prioritize them based on impact, alignment with our roadmap, and available development capacity.
Need It Fast?
We are actively developing a dynamic staging environment platform that includes test data management (TDM) features, which are already implemented at a basic level in the Greenmask utility.
Currently, Greenmask supports PostgreSQL and S3. Support for MySQL, MongoDB, and other databases is actively in development.
Using data that closely resembles production accelerates time to delivery, improves service quality through more accurate testing, and increases developer satisfaction by allowing them to work with realistic data, avoiding unexpected issues in production.
Greenmask is a data anonymization system designed to ensure information security in testing and development environments. It helps create data that is as close to real as possible while preventing data leaks.
Greenmask uses powerful data anonymization tools such as deterministic transformations, dynamic parameters, and validation to ensure data security and compliance with confidentiality requirements.
Yes, Greenmask easily integrates into existing CI/CD pipelines due to its simple architecture, and it also supports various data storage systems, including both local and remote (such as S3-compatible storage).
You can configure Greenmask using flexible configuration files that support dynamic parameters and a wide range of transformations, allowing you to adapt the system to your specific requirements.