Data Transformation
Showing 26 of 26 projects
A lightweight, zero-dependency command-line JSON processor for slicing, filtering, and transforming JSON data.
A lightweight, zero-dependency command-line JSON processor for slicing, filtering, and transforming JSON data.
A practical functional library for JavaScript programmers emphasizing immutability and currying.
A TypeScript-first schema builder for runtime value parsing and validation with expressive, chainable APIs.
A portable command-line YAML, JSON, XML, CSV, TOML, HCL, and properties processor with jq-like syntax.
A transformation workflow that enables data teams to transform data in their warehouse using SQL and software engineering best practices.
A transformation tool that enables data analysts and engineers to transform data using software engineering best practices.
A convention-based object-object mapper for .NET that eliminates manual mapping code between types.
A CLI tool and Python library that converts command output, files, and strings to JSON, YAML, or dictionaries for easier parsing.
A command-line tool and library for querying, modifying, and converting data across JSON, YAML, TOML, XML, CSV, HCL, and INI formats.
A curated list of command-line tools for manipulating structured text data like CSV, JSON, XML, YAML, and more.
An ultra-performant data transformation framework for AI, with incremental processing and data lineage built-in.
A grammar of data manipulation for R, providing a consistent set of verbs to solve common data manipulation challenges.
A pure Go implementation of jq for parsing, filtering, and transforming JSON and YAML data.
A Go library providing .NET LINQ-style query capabilities for arrays, slices, maps, strings, channels, and custom collections.
A PHP presentation and transformation layer for complex data output in RESTful APIs and JSON.
A lightweight query and transformation language for JSON data, inspired by XPath and SQL.
A Python library for defining portable, modular, and testable data transformation DAGs with built-in lineage and metadata.
An intelligent Java library that automatically maps objects to each other using a convention-based approach.
A Python library for feature engineering and selection with scikit-learn compatible transformers.
A lightweight and efficient stream processing library for Go, providing a declarative DSL to build data pipelines.
A Laravel wrapper for Fractal that simplifies API data transformation with an expressive syntax.
A Ruby framework for writing reliable, concise, and maintainable ETL (Extract-Transform-Load) data processing jobs.
A TypeScript-focused functional programming utility library designed for use with R.pipe and strict currying.
A unified data pipeline tool for ingestion, transformation with SQL/Python/R, and data quality checks across major platforms.
A Python library for agile data preparation workflows that works with Pandas, Dask, cuDF, Dask-cuDF, Vaex, and PySpark.
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