Datafilterx

Datafilterx is an open-source software library designed to filter, transform, and route structured data within data processing pipelines. It provides a declarative approach to expressing filtering logic and aims to be fast, extensible, and easy to integrate with existing workflows.

The library offers core features such as a declarative filter language, support for streaming and batch processing, and a modular architecture that allows custom predicates, transformers, and IO adapters. Its evaluation engine supports pattern matching, type coercion, and data normalization to produce consistent downstream records, along with basic metadata collection for observability.

The architecture centers on a lightweight core, an expression compiler, and a collection of pluggable adapters for input and output formats. The design emphasizes low overhead, parallel execution where available, and lazy evaluation to efficiently handle large datasets.

Datafilterx can be used as a standalone library or embedded in ETL tools and data platforms. It provides bindings and interfaces for common programming languages and integrates with data orchestration and streaming frameworks through adapters and connectors.

Common use cases include data cleansing and filtering, content-based routing of records, deduplication, and transformation of fields prior to storage, analytics, or downstream processing. It is well-suited for preprocessing in data pipelines, data lakes, and real-time analytics.

The project is maintained by an international open-source community with ongoing releases, documentation, and user-contributed examples. It encourages contributions and provides tutorials to help new users get started.