xtbxb

xtbxb is an open-source software framework designed to support flexible data transformation and analysis. It provides a runtime engine and a modular plugin system that allow developers to build, deploy, and orchestrate data processing pipelines across different environments.

The core of xtbxb is a minimal runtime with a declarative pipeline model, enabling users to describe workflows as sequences of processing steps without writing boilerplate code. The framework supports multiple data formats and can operate in batch and streaming modes, with built-in facilities for scheduling, logging, and error handling. Language bindings are provided for Python and Rust, enabling rapid prototyping and high-performance components.

xtbxb originated in an open-source initiative in the mid-2010s, and is maintained by a global community of contributors. The project is distributed under the MIT license, emphasizing permissive reuse and collaboration.

In practice, xtbxb is used for data integration, transformation tasks, and experimental data pipelines in both academia and industry. It emphasizes portability, interoperability, and extensibility, with a growing ecosystem of plugins for data formats, storage backends, and machine-learning workflows.

As with many open-source projects, the feature set and roadmap of xtbxb continue to evolve through community input and periodic releases.