Languages and Frameworks 84.Jetpack DataStore Trial Jetpack DataStore is a new data storage solution to store data asynchronously, consistently and transactionally. It has two implementations: Preferences DataStore for untyped key-value pairs and Proto DataStore for complex data types using Protobufs. By default it is used with Kotlin coroutines and Flow but additional support for RXJava 2 and 3 is available. The documentation recommends you consider migrating to DataStore if you’re currently using SharedPreferences, and we agree with that recommendation. 85.Mikro ORM Trial Mikro ORM is an object-relational mapping (ORM) framework that has an interesting TypeScript- centric approach. By leveraging TypeScript throughout the entire stack, it offers a consistent development experience from browser to backend, making it easier for developers to write and maintain code. Notably, Mikro ORM’s performance is excellent, enabling rapid query execution and minimizing latency. While Mikro ORM offers appealing features, it’s essential to keep in mind the general caveats associated with object-relational mappers. ORM frameworks are often complex and offer only a leaky abstraction over a relational data store, and so using one is always a balance of trade-offs. 86.Per-app language preferences Trial Many people speak more than one language and use different languages in different contexts. Devices and platforms that can run apps generally ask the user to select one language for the system and then make the apps follow suit. For mobile phones, in particular, users may prefer certain apps to run in a language other than the system’s language; Apple introduced a per-app language setting in iOS a while ago. Android app developers, however, had to implement a custom solution within their apps if they wanted to provide this option — until now. Android 13 introduced a new system setting, per-app language preferences, and a public API, making it easier for developers to offer this feature. For backward compatibility, equivalent APIs are available in AndroidX via AppCompatDelegate. We encourage developers to replace their custom solutions and instead use this feature in their apps. 87.Quarto Trial Quarto is an open-source scientific and technical publishing system. With it, we can build computational notebooks that allow you to write documents in markdown, embed code and emit that code’s output into the final document. It can be used to create reproducible and customizable data analysis reports, which can be easily shared in a variety of formats. Our data science teams used Quarto to share data analysis reports containing visualizations (plots) and tables. They liked being able to use R and Python to generate these dynamic reports and then export them as HTML to share with stakeholders. If you’re looking to share your research and analysis within or outside of your organization, we recommend evaluating Quarto. © Thoughtworks, Inc. All Rights Reserved. 40