Search Results for "yaml"

Type-safe i18n solution using JSON, YAML, CSV, or ARB files.

Lingo.dev is an AI-powered localization platform designed to automate and streamline the translation process for web and mobile applications. It integrates seamlessly with development workflows, automating translations upon code commits to ensure high-quality results without manual intervention. The platform offers Git-native UI localization, enabling automated pull requests that keep translations synchronized within CI/CD pipelines. For dynamic and user-generated content, Lingo.dev provides...

...It provides a command-line interface and continuous integration/continuous deployment integration, allowing developers to manage translations directly or automate them within existing pipelines. Languine supports various file formats, including JSON, YAML, Markdown, and more, catering to diverse project requirements. It also features fine-tuning options, enabling customization of translations to align with specific brand nuances. Additionally, Languine offers a GitHub Action for automating localization directly within GitHub, ensuring translations stay synchronized with every commit and deployment.

Grow.dev is a static site generator optimized for building highly interactive, localized microsites. Grow.dev focuses on providing optimal workflows and developer ergonomics for creating projects that are highly maintainable in the long term. Grow.dev encourages a strong but simple separation of content and presentation and makes maintaining content in different locales and environments a snap.

The dynamic_robot_localization is a ROS package that offers 3 DoF and 6 DoF localization using PCL and allows dynamic map update using OctoMap. It's a modular localization pipeline, that can be configured using yaml files (detailed configuration layout available in drl_configs.yaml and examples of configurations available in guardian_config and dynamic_robot_localization_tests). Even though this package was developed for robot self-localization and mapping, it was implemented as a generic, configurable and extensible point cloud matching library, allowing its usage in related problems such as estimation of the 6 DoF pose of an object and 3D object scanning.