Anuto TD

Anuto TD

Anuto TD is an open-source test data management software that helps teams generate, mask, provision, and manage test data for software testing. It integrates with CI/CD pipelines to provide comprehensive test data solutions.
Anuto TD image
test-data-management data-masking cicd-integration

Anuto TD: Open-Source Test Data Management Software

Anuto TD helps teams generate, mask, provision, and manage test data for software testing, integrating with CI/CD pipelines for comprehensive solutions.

What is Anuto TD?

Anuto TD is an open-source test data management solution designed to help software teams effectively manage test data for their quality assurance and testing needs. It provides capabilities to generate, mask, subset, scramble, provision and refresh test data from various sources.

Key features of Anuto TD include:

  • Ability to connect to databases, CSV files, JSON endpoints to provision test data
  • Data masking for sensitive information like names, emails, addresses etc.
  • Test data generation using rules and custom algorithms
  • Subset extraction based on record sampling or specific criteria
  • Scrambling to create random yet realistic test data
  • Scheduling and automation of test data operations
  • Integration with CI/CD pipelines
  • Custom data profiles for specific testing requirements
  • Version control of test data
  • Collaboration capabilities for teams

As an open source solution, Anuto TD is free to use and extend. It can help testing teams significantly improve their test coverage and efficiency through better test data management, without incurring expensive licensing costs. The active developer community also contributes new enhancements on a regular basis.

Anuto TD Features

Features

  1. Data masking and anonymization
  2. Test data generation
  3. Test data subsets and sampling
  4. Metadata management
  5. Integrations with CI/CD pipelines
  6. CLI and REST APIs
  7. Data profiling

Pricing

  • Open Source
  • Free

Pros

Open source and free to use

Flexible data masking rules

Scalable test data generation

Integrates with various databases and applications

Active community support

Cons

Limited documentation

Steep learning curve

Not as feature rich as commercial alternatives


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