How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
Mr-data-converter is a web-based utility that translates raw tabular spreadsheet inputs into structured serialization formats like JSON and XML. Operating entirely within the browser via client-side scripting, the tool processes data without requiring server communication.
The main features of shancarter/mr-data-converter are: Spreadsheet Data Processing, Multi-Format Spreadsheet Converters, JSON Data Exports, Excel-to-XML Converters, CSV to JSON Conversion, Data Format Translators, XML Exporters, Automatic Delimiter Detection.
Open-source alternatives to shancarter/mr-data-converter include: dathere/qsv — qsv is a high-performance command line toolkit for querying, transforming, and analyzing comma-separated value files.… zxlie/fehelper — FeHelper is a web browser extension toolbox and frontend development toolkit integrated into Chrome, Firefox, and… kellyjonbrazil/jc — jc is a tool that transforms plain-text results from command-line utilities, system tools, log formats, and text… johnkerl/miller — Miller is a command-line data processor used for filtering, transforming, and aggregating name-indexed tabular data.… cue-lang/cue — CUE is a constraint-based configuration language designed for data validation, schema definition, and code generation.… loyalsoldier/geoip.
qsv is a high-performance command line toolkit for querying, transforming, and analyzing comma-separated value files. It functions as a data wrangling interface and a tabular data profiler, featuring a query engine capable of executing SQL statements and joins directly on flat files without requiring a database. The project is distinguished by its ability to process massive datasets that exceed available system memory. This is achieved through disk-based external memory processing, including multithreaded merge sorting, on-disk hash tables for deduplication, and lightweight file indexing for
FeHelper is a web browser extension toolbox and frontend development toolkit integrated into Chrome, Firefox, and Edge. It serves as a data transformation utility, a web page debugging tool, and an AI-powered coding assistant. The project distinguishes itself by integrating local models and OpenAI-compatible APIs to write, refactor, and repair code directly within the browser. It also provides capabilities for generating TypeScript schemas and Zod definitions from data samples using AI. The toolkit covers a broad range of developer utilities, including network debugging for HTTP and WebSocke
Miller is a command-line data processor used for filtering, transforming, and aggregating name-indexed tabular data. It functions as a tool for querying and reshaping records across multiple file formats, serving as a converter between CSV, JSON, and YAML. The tool distinguishes itself by using a name-indexed data model, allowing users to manipulate fields by name rather than numeric position. It utilizes single-pass streaming algorithms to compute statistics and summaries on large datasets that exceed available system memory. Its capabilities cover data transformation and analysis, includin
CUE is a constraint-based configuration language designed for data validation, schema definition, and code generation. At its core, it unifies types and values into a single concept, enabling compile-time validation that catches structural and value errors before runtime. The language treats data and constraints as the same thing, allowing a single definition to serve as both a schema and concrete configuration data. CUE distinguishes itself through its constraint-based unification engine, which combines multiple configuration sources into a single coherent result by merging their constraints