converts any uploaded csv into json
Simple Angular component to parse CSV, JSON files
CSV parsing implementing the Node.js `stream.Transform` API
Fast and powerful CSV parser for the browser that supports web workers and streaming large files. Converts CSV to JSON and JSON to CSV.
fast-csv parsing package
MCP server for data preparation and transformation — parse CSV/JSON, clean datasets, compute aggregations, detect outliers, pivot tables, and prepare data for chart visualization with ChartForge
Convenient parsing for Fetch.
A mature CSV toolset with simple api, full of options and tested against large datasets.
CSV parser and writer
A JSON to CSV and CSV to JSON converter that natively supports sub-documents and auto-generates the CSV heading.
Parse JSON with more helpful errors
JSON.parse with context information on error
JSON.parse with context information on error
A parser and formatter for delimiter-separated values, such as CSV and TSV
CSV stringifier implementing the Node.js `stream.Transform` API
JSON parse with prototype poisoning protection
Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware encoding of JSON for LLM prompts
A webpack module to intelligently load csv files.
PARSE and STRINGIFY for CSV strings. It's like JSON object but for CSV. It can also work row by row. And, if can parse strings, it can be use to parse files or streams too.
Parse and stringify JSON with comments. It will retain comments even after saved!
There are 2 parts to this package: CSV to JSON serialization and JSON to CSV serialization. The module exposes 2 methods to fulfil these: `parse` and `unparse` respectively.
Parse HTTP Content-Type header according to RFC 7231
CSV parsing implementing the Node.js `stream.Transform` API
Streaming CSV parser that aims for maximum speed as well as compatibility with the csv-spectrum test suite
Parse and pretty print YAML/JSON/XML/CSV/HTML
Nosy fetches, parses and searches the iPhone's SMS database that is created on your machine each time you make a backup. It can export to HTML, CSV, or JSON.
ronin-nmap is a Ruby library and CLI for working with nmap. ronin-nmap can parse nmap XML, convert nmap XML into JSON or CSV, or import nmap XML into the ronin-db database.
ronin-masscan is a Ruby library and CLI for working with masscan. ronin-masscan can parse masscan scan files, convert masscan files into JSON or CSV, or import masscan scan data into the ronin-db database.
Parse Apple Address Book Archive (.abbu) files and export contacts to CSV, JSON, or vCard. Supports modern SQLite-backed archives and legacy plist-based records.
Fibrio parses large JSON array, NDJSON, and CSV inputs record by record without loading the full source into memory.
## Dinosaur Catalog It may not be immediately evident, but I am a huge fan of dinosaurs. They're huge and dangerous and have cool names like Giganotosaurus (not to be confused with Gigantosaurus). ... Anyway. I need to catalog some dinosaurs for my newest project, DinoDex. I've got a CSV file for the dinosaur facts, and I need the code to read all the dinosaur facts and do some basic manipulations with the data. ### Requirements Go check out the CSVs and come back. Done? Cool, I've just got a few features I need: 1. I loaded my favorite dinosaurs into a CSV file you'll need to parse. I don't know a lot about African Dinosaurs though, so I downloaded one from The Pirate Bay. It isn't formatted as well as mine, but please try to parse it anyway. 2. I have friends who ask me a lot of questions about dinosaurs (I'm kind of a big deal). Please make sure the dinodex is able to answer these things for me: * Grab all the dinosaurs that were bipeds. * Grab all the dinosaurs that were carnivores (fish and insects count). * Grab dinosaurs for specific periods (no need to differentiate between Early and Late Cretaceous, btw). * Grab only big (> 2 tons) or small dinosaurs. * Just to be sure, I'd love to be able to combine criteria at will, even better if I can chain filter calls together. 3. For a given dino, I'd like to be able to print all the known facts about that dinosaur. If there are facts missing, please don't print empty values, just skip that heading. Make sure to print Early / Late etc for the periods. 4. Also, I'll probably want to print all the dinosaurs in a given collection (after filtering, etc). #### Extra Credit 1. I would love to have a way to do (and chain) generic search by parameters. I can pass in a hash, and I'd like to get the proper list of dinos back out. 2. CSV isn't may favorite format in the world. Can you implement a JSON export feature? Happy Hunting. (Giganotosaurus was the largest hunting dinosaur, at 46 feet long and up to 8 tons! Suh-weet.)
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