We have rolled out a major test-data editing upgrade across both the main data grid editing app and direct to file test data generator.

The schema editing experience is now driven by one shared interface and a new method-picker dialog.

string.counterString is now available in the domain model.

This is the first string.* domain addition that is not backed directly by Faker, and is implemented as a custom domain delegate.

As AnyWayData usage grew across UI, CLI, API, and MCP, we found that directly exposing raw faker calls created avoidable fragility.

We moved to a domain abstraction layer so schemas describe intent (internet.email, number.int, date.recent) instead of vendor-specific call shapes.

The Import + Amend via Schema flow is now available across all automation interfaces: REST API, CLI, and MCP.

You can now provide a schema plus existing input data, amend rows using schema rules, and get back the full resulting dataset in your requested output format.

We added a dedicated Code (Unit Test) export capability that now works consistently across the UI, REST API, and MCP tool interfaces.

Generated output is data-driven (parameterized) test code, with shared options for suite naming, setup scaffolding, pretty print, and data source strategy.

New feature for test data generation: Pairwise Testing! This addition brings combinatorial testing capabilities directly to AnyWayData, helping you generate efficient test data sets with pairs coverage and minimal redundancy.

This release adds major new ways to run and integrate AnyWayData: a CLI workflow, a REST API, MCP support, and a Dockerized Web UI setup.

You can now choose the interface that best matches your workflow, from local scripting to service integrations and agent/tooling connections.

We have added Perl export support to the grid editor and generator, alongside the new C#, Kotlin, Ruby, and PHP export capabilities.

This extends the programming-language export options beyond JavaScript, Python, Java, and TypeScript with PHP-, Ruby-, Kotlin-, C#-, and Perl-focused formats.

We've expanded export options for programming-language-style output so it is easier to move table data into application code.

This release builds on the existing JavaScript export and adds Python, Java, and TypeScript export support with configurable output options.

New export features like XML, SQL and JSONL plus improved the speed for exporting large datasets and improved on screen tips.