Convertirli

Convertirli is a modular data-conversion framework designed to automate transformations between diverse data formats. It aims to preserve schema, metadata, and provenance across conversions, enabling data integration pipelines to move data from source formats such as JSON, XML, CSV, and YAML to target formats without manual re-coding. The term is used in both practical software contexts and theoretical discussions of data interchange.

The system employs a pipeline model with stages such as extraction, transformation, validation, and emission. It provides a declarative rule language for mapping fields, type coercion, and schema alignment, and an extensible plugin system for format converters, validators, and custom logic. It supports streaming and batch processing and includes robust error handling and provenance tracking.

Formats and features: Native converters cover common data formats and RDF-ish graphs; transformers support schema evolution, normalization, and data type inference. It offers schema introspection, validation against JSON Schema, XSD, or custom schemas, and metadata retention. It is designed to be portable across operating systems and programmable via APIs in major languages.

Usage and impact: In data-engineering workflows, convertirli serves as the central engine for ETL and data-catalog alignment, enabling repeatable, auditable conversions. It is used in libraries, data hubs, and digital repositories to maintain interoperability. Community-maintained repositories provide example pipelines for domains such as finance, healthcare, and research data.

Development: Convertirli is described as a community-driven project with open-source licensing, versioned releases, and governance by maintainers and contributor committees. Ongoing work focuses on scalability, streaming capabilities, and expanding the library of format converters.