Yadget

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Yadget is a SaaS tool for generating synthetic data. It helps improve software testing and validation processes by creating diverse datasets.

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At a glance

Pricing

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Free tier

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API

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Skill level

Technical

About

What is Yadget?

Yadget is a Software as a Service (SaaS) platform specifically designed for synthetic data generation. Its primary purpose is to assist in software testing and validation, enabling users to create custom datasets for a wide range of software development requirements. By providing synthetic data, Yadget aims to streamline and enhance the efficiency and effectiveness of testing and validation workflows, ensuring robust software quality without relying on sensitive real-world data.

Best used for

Generating realistic, non-sensitive data for software testing and validation purposes.

Common actions

Generate test data

Validate software

Improve testing efficiency

Create synthetic datasets

Software development support

Capabilities

Key features

Generates synthetic data
SaaS platform
For software testing
Improves validation processes
Creates custom datasets

Target Audience

Software DevelopersQA EngineersData ScientistsTesters

Integrations

Not yet documented

Pricing & Plans

unknown

Not publicly disclosed. Check yadget.co for current pricing.

FAQs

Does Yadget offer a free tier or trial for evaluating its synthetic data generation capabilities?

The pricing for Yadget is currently unknown, so it's not clear if a free tier or trial is available. Users interested in evaluating the platform should contact Yadget directly for information on trial access or introductory offers.

Can Yadget integrate with existing CI/CD pipelines or testing frameworks for automated data generation?

Yadget is designed to streamline testing and validation, suggesting it likely offers APIs or connectors for integration with common CI/CD tools and testing frameworks. Specific integration details would need to be confirmed with Yadget's documentation or support.

What types of data formats does Yadget support for generating custom datasets?

While the description highlights custom dataset creation, the specific data formats (e.g., JSON, CSV, SQL, XML) are not detailed. Users should inquire about supported output formats to ensure compatibility with their testing environments.

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Also listed in

This tool also appears in

Data & Analytics › Data Cleaning & Prep

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