Kotlin/dataframe
Dataframe
This library is a data processing framework for the JVM that provides a type-safe environment for manipulating structured tabular data. It functions as a comprehensive toolset for performing complex data transformations, aggregations, and statistical analysis, while leveraging compile-time schema validation to ensure structural integrity across data pipelines.
The project distinguishes itself through its deep integration with interactive notebook environments and its use of compile-time code generation. By automatically deriving and enforcing schemas from raw inputs, it generates type-safe accessors that enable IDE autocompletion and static verification of column names. This architecture allows developers to perform functional pipeline processing while maintaining strict type safety, effectively preventing runtime errors during data manipulation.
The library supports a broad range of data workflows, including importing and mapping relational database schemas, performing geospatial analysis, and executing complex data pivoting. It includes extensive utilities for data construction, filtering, sorting, and the calculation of descriptive statistics. Furthermore, the framework provides robust visualization and reporting capabilities, allowing users to render interactive HTML tables, compose documents, and generate charts directly from structured datasets.
The library is designed for seamless use within Kotlin and Java development environments, with specialized support for automated dependency management and kernel integration in interactive notebooks.
