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Scale Up Test Automation with DataMaker's Powerful SDKs

DataMaker's powerful SDKs provide you with the flexibility to scale your test automation across more scenarios, larger teams, and increasingly complex applications.

Streamlined Test Data Workflows with SDKs

Powerful SDKs designed for seamless integration and efficient collaboration

Automate, manage, and scale test data generation with clarity and control

Seamless Integration

Seamless Integration

Connect directly to your existing CI/CD tools and frameworks using JavaScript and Python SDKs—no retraining required.

Centralized Logic

Centralized Logic

Define reusable test data logic within shared scripts to ensure consistency across all testing stages and teams.

Version Control & Sharing

Version Control & Sharing

Use Git to store, share, and evolve your data generation code, enabling team-wide collaboration and quality control.

 Faster Test Creation

Faster Test Creation

Accelerate test setup with pre-built SDK functions that simplify complex data generation and execution flows.

 Collaborative Efficiency

Collaborative Efficiency

Reduce duplicated effort and align teams through centralized, versioned data logic tailored to evolving test needs.

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Overcome Data Chaos in Growing Automation Efforts

Explore how DataMaker's SDKs resolve the data bottlenecks that often hinder the growth of your test automation.

Seamless Integration with Existing Tools:

Empower your team to leverage realistic data generation within familiar environments and CI/CD pipelines. Our JavaScript and Python SDKs are engineered to plug directly into your established automation frameworks—Selenium, Playwright, Cypress, and Robot Framework, accelerating value without disruptive changes or extensive retraining.

Seamless Integration with Existing Tools:

Centralized Data Generation Logic:

Ensure consistent and reusable data across all testing efforts with our SDKs. Your team can define and codify data generation logic within shared automation frameworks and Python scripts, fostering collaboration and simplifying reliable test scenario creation for intricate systems. Combat the chaos of fragmented, ad-hoc data creation.

Centralized Data Generation Logic:

Version Control and Sharing:

Break down collaboration silos in test data management. By storing code written with our SDKs in Git, your team gains effortless sharing, review, and modification of effective data generation strategies. Benefit from collective intelligence and evolve proven approaches for optimal test coverage across all projects.

Version Control and Sharing:

Faster Test Creation:

Significantly speed up the incorporation of realistic data into your automated tests. Our SDKs provide pre-built functions and libraries that abstract the complexities of interacting with DataMaker's powerful data generation, allowing your team to build and execute comprehensive tests with greater agility and efficiency.

Faster Test Creation:

Collaboration Boosts Efficiency:

By leveraging the SDKs for centralized and shareable data generation logic (via version control), you empower collaboration, reduce redundant efforts across projects, and establish a foundation for consistent, high-quality test data that evolves with your applications, ultimately saving time and resources in the long run.

Collaboration Boosts Efficiency:

Ready to Handle Complex Testing Scenarios with DataMaker SDKs?

Frequently Asked Questions

Introduction

What programming languages and automation frameworks are officially supported by DataMaker AI SDKs?

Access and Integration

Support and Information