xlsx-populate
csv-parser
| xlsx-populate | csv-parser | |
|---|---|---|
| - | 9 | |
| 927 | 1,399 | |
| - | - | |
| 0.0 | 0.0 | |
| about 2 months ago | 3 months ago | |
| JavaScript | JavaScript | |
| MIT License | MIT License |
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xlsx-populate
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csv-parser
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Basic analytics with Vercel Postgres, Drizzle & Astro
Inside the API route, convert the CSV file to JSON with csv-parser
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Why my favourite API is a zipfile on the European Central Bank's website
https://github.com/mafintosh/csv-parser/pull/121 https://github.com/mafintosh/csv-parser/pull/151 https://github.com/mafintosh/csv-parser/issues/218
The author of the library probably has learned, the hard way many many lessons (and probably also decided to prioritize some of the requested issues / feature requests along the way).
The above is not meant as a ding on the project itself and I am sure it is used successfully by many people. The point here is that your claim that you can easily write a csv parser in 200 lines of code does not hold water. It's anything but easy and you should use a battle tested library and not reinvent the wheel.
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I have created a nextjs app which has multiple card column, i want to import data from csv file to this card. can somebody guide me? for reference i have attached some image what i want
If this were me, I'd probably add a getStaticProps function to the page, and then use the csv-parser library within this function to convert the CSV file into JSON data, and then return that JSON data from the getStaticProps function so the page can access it as props.
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Node.js - Streams and Promises
I started with using the external library csv-parser. However, since it is basically a wrapper around the base Node.js technologies I listed above I has the same problems working with my data that I will list below. I eventually uninstalled it and wrote my own light-weight version.
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Working with CSVs in Node.JS
I have found this CSV parser package and it almost works exactly like I need it. I've ran into 2 issues.
- Parsing large datasets into memory or database
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Effecient way for creating partition in large file to feed in to a node worker thread
I was using the [csv-parser](https://github.com/mafintosh/csv-parser) library to handle csv parsing in node. The file can be huge ranging from 50,000 to 500,000 lines, maybe even larger. I had to perform some computations on the csv, after this is submitted to the server for that I was thinking of dividing the csv into chunks which I could then provide to worker threads for performing the computation. The worker thread would get the number of lines to skip and then start reading the lines after that up to a particular limit. I create a read stream and pass the csv-parser in with the option of number of lines to skip. I tried to perform some benchmarks on it but could find no visible benefits between skipping lines and not skipping lines. Even if I read the whole file it was sometimes faster than reading the ending 30,000 lines.
- Can this problem be fixed with JS?
What are some alternatives?
excel-stream
PEG.js - PEG.js: Parser generator for JavaScript
parse-json - Parse JSON with more helpful errors
neat-csv - Fast CSV parser
google-libphonenumber - The up-to-date and reliable Google's libphonenumber package for node.js.
URI.js - Javascript URL mutation library
remark - markdown processor powered by plugins part of the @unifiedjs collective
Jison - Bison in JavaScript.
docx-to-pdf-on-AWS-Lambda - Microsoft Word doc/docx to PDF conversion on AWS Lambda using Node.js
Chevrotain - Parser Building Toolkit for JavaScript