Derive macro to validate CSV
Procedural macro for deriving CSV schema validation
Generate BigQuery schema from JSON or CSV data files
Tabular files → schema + sample rows. The shared spreadsheet reader Tauri / Iced / native desktop apps reach for when they need to introspect XLSX / CSV / TSV without inventing the same calamine-plus-type-inference glue twice.
Clean CSV files to conform to a type schema by streaming them through small memory buffers using multiple threads and logging data loss.
Elusion is a modern DataFrame / Data Engineering / Data Analysis library that combines the familiarity of DataFrame operations (like those in PySpark, Pandas, and Polars) with the power of SQL query building. It provides flexible query construction without enforcing strict operation ordering, enabling developers to write intuitive and maintainable data transformations.
High-performance command-line toolkit for streaming, indexing, and transforming CSV datasets
HEDL to/from CSV conversion
datu - a data file utility
Deterministic Algebraic Deterministic Dynamics (ADD) parameter sweeps for AET, TCP, RLT, and IWLT
A statically-typed wrapper around Polars for compile-time type safety
A utility tool to export ASN information to JSON files.
This validator is intended to be run on csv files that are updated and received on a regular basis. It allows you to specify required headers the following data restrictions: columns that must be unique, columns that must be restricted to certain values, or columns that can't allow nil values. This gem checks that the newly received file is consistent with the specified 'csv schema'. This frees you form having to manually check that the new file has not changed and reduces the possibility that an unnoticed change will cause any subsequent analyses to be incorrect.
This Embulk plugin extends CSV parser to define columns based on database meta data.
Parses csv files with schema file read by other file input plugins.
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