asynchronous read multiple csv files line by line and combine columns into one file
[](https://npmjs.org/package/stream-combiner) [](https://travis-ci.org/dominictarr/stream-combiner)
This is a sequel to [stream-combiner](https://npmjs.org/package/stream-combiner) for streams3.
CSV parser and writer
fast-csv formatting module
CSV parsing implementing the Node.js `stream.Transform` API
fast-csv parsing package
CSV stringifier 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
A mature CSV toolset with simple api, full of options and tested against large datasets.
CSV and object generation implementing the Node.js `stream.Readable` API
A JSON to CSV and CSV to JSON converter that natively supports sub-documents and auto-generates the CSV heading.
Fast and powerful CSV parser for the browser that supports web workers and streaming large files. Converts CSV to JSON and JSON to CSV.
Convenient parsing for Fetch.
TypeScript definitions for react-csv
streaming pipeline with a mutable configuration
Convert objects/arrays into a CSV string or write them into a CSV file
Object transformations implementing the Node.js `stream.Transform` API
Easily create CSV data from json collection
A tool concentrating on converting csv data to JSON with customised parser supporting
Advanced Data Grid / Data Table supporting Javascript / Typescript / React / Angular / Vue
Build CSV files on the fly basing on Array/literal object of data
Node.js DOM combiner
Fast CSV parser
The combined CSV file is read.
Takes and Amazon orders csv and items csv as input. Generates and output csv suitable for importing into a financial program.
Like jq or grep for csv. Combine one or more CSVs while filtering on fields with regular expressions, whitelists, presence, missing, etc.
Most of our data describe more or less the same real world objects. And csv or any other tabular formats is a very common, convenient and efficient trick we use daily. But then what? If you are curious and keep track of things, you probably have a messy computer full of data, Excel files, lists and tables. Manicvs is an attempt to provide useful methods to sort, combine, add data and manipulate in any useful mean your collection of csv files using command line interface or as a library.
## 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.)