web-csv-toolbox
v0.11.0
Published
A CSV Toolbox utilizing Web Standard APIs.
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🌐 web-csv-toolbox 🧰
A CSV Toolbox utilizing Web Standard APIs.
🔗
Key Concepts ✨
- 🌐 Web Standards first.
- Utilizing the Web Standards APIs, such as the Web Streams API.
- ❤️ TypeScript friendly & User friendly.
- Fully typed and documented.
- 0️⃣ Zero dependencies.
- Using only Web Standards APIs.
- 💪 Property-based testing.
- Using fast-check and vitest.
- ✅ Cross-platform.
- Works on browsers, Node.js, and Deno.
Key Features 📗
- 🌊 Efficient CSV Parsing with Streams
- 💻 Leveraging the WHATWG Streams API and other Web APIs for seamless and efficient data processing.
- 🛑 AbortSignal and Timeout Support: Ensure your CSV processing is cancellable, including support for automatic timeouts.
- ✋ Integrate with
AbortController
to manually cancel operations as needed. - ⏳ Use
AbortSignal.timeout
to automatically cancel operations that exceed a specified time limit.
- ✋ Integrate with
- 🎨 Flexible Source Support
- 🧩 Parse CSVs directly from
string
s,ReadableStream
s, orResponse
objects.
- 🧩 Parse CSVs directly from
- ⚙️ Advanced Parsing Options: Customize your experience with various delimiters and quotation marks.
- 🔄 Defaults to
,
and"
respectively.
- 🔄 Defaults to
- 💾 Specialized Binary CSV Parsing: Leverage Stream-based processing for versatility and strength.
- 🔄 Flexible BOM handling.
- 🗜️ Supports various compression formats.
- 🔤 Charset specification for diverse encoding.
- 🚀 Using WebAssembly for High Performance: WebAssembly is used for high performance parsing. (Experimental)
- 📦 WebAssembly is used for high performance parsing.
- 📦 Lightweight and Zero Dependencies: No external dependencies, only Web Standards APIs.
- 📚 Fully Typed and Documented: Fully typed and documented with TypeDoc.
Installation 📥
With Package manager 📦
This package can then be installed using a package manager.
# Install with npm
$ npm install web-csv-toolbox
# Or Yarn
$ yarn add web-csv-toolbox
# Or pnpm
$ pnpm add web-csv-toolbox
From CDN (unpkg.com) 🌐
UMD Style 🔄
<script src="https://unpkg.com/web-csv-toolbox"></script>
<script>
const csv = `name,age
Alice,42
Bob,69`;
(async function () {
for await (const record of CSV.parse(csv)) {
console.log(record);
}
})();
</script>
ESModule Style 📦
<script type="module">
import { parse } from 'https://unpkg.com/web-csv-toolbox?module';
const csv = `name,age
Alice,42
Bob,69`;
for await (const record of parse(csv)) {
console.log(record);
}
</script>
Deno 🦕
You can install and use the package by specifying the following:
import { parse } from "npm:web-csv-toolbox";
Usage 📘
Parsing CSV files from strings
import { parse } from 'web-csv-toolbox';
const csv = `name,age
Alice,42
Bob,69`;
for await (const record of parse(csv)) {
console.log(record);
}
// Prints:
// { name: 'Alice', age: '42' }
// { name: 'Bob', age: '69' }
Parsing CSV files from ReadableStream
s
import { parse } from 'web-csv-toolbox';
const csv = `name,age
Alice,42
Bob,69`;
const stream = new ReadableStream({
start(controller) {
controller.enqueue(csv);
controller.close();
},
});
for await (const record of parse(stream)) {
console.log(record);
}
// Prints:
// { name: 'Alice', age: '42' }
// { name: 'Bob', age: '69' }
Parsing CSV files from Response
objects
import { parse } from 'web-csv-toolbox';
const response = await fetch('https://example.com/data.csv');
for await (const record of parse(response)) {
console.log(record);
}
// Prints:
// { name: 'Alice', age: '42' }
// { name: 'Bob', age: '69' }
Parsing CSV files with different delimiters and quotation characters
import { parse } from 'web-csv-toolbox';
const csv = `name\tage
Alice\t42
Bob\t69`;
for await (const record of parse(csv, { delimiter: '\t' })) {
console.log(record);
}
// Prints:
// { name: 'Alice', age: '42' }
// { name: 'Bob', age: '69' }
Parsing CSV files with headers
import { parse } from 'web-csv-toolbox';
const csv = `Alice,42
Bob,69`;
for await (const record of parse(csv, { headers: ['name', 'age'] })) {
console.log(record);
}
// Prints:
// { name: 'Alice', age: '42' }
// { name: 'Bob', age: '69' }
AbortSignal
/ AbortController
Support
Support for AbortSignal
/ AbortController
, enabling you to cancel ongoing asynchronous CSV processing tasks.
This feature is useful for scenarios where processing needs to be halted, such as when a user navigates away from the page or other conditions that require stopping the task early.
Example Use Case: Abort with user action
import { parse } from 'web-csv-toolbox';
const controller = new AbortController();
const csv = "name,age\nAlice,30\nBob,25";
try {
// Parse the CSV data then pass the AbortSignal to the parse function
for await (const record of parse(csv, { signal: controller.signal })) {
console.log(record);
}
} catch (error) {
if (error instanceof DOMException && error.name === 'AbortError') {
// The CSV processing was aborted by the user
console.log('CSV processing was aborted by the user.');
} else {
// An error occurred during CSV processing
console.error('An error occurred:', error);
}
}
// Some abort logic, like a cancel button
document.getElementById('cancel-button')
.addEventListener('click', () => {
controller.abort();
});
Example Use Case: Abort with timeout
import { parse } from 'web-csv-toolbox';
// Set up a timeout of 5 seconds (5000 milliseconds)
const signal = AbortSignal.timeout(5000);
const csv = "name,age\nAlice,30\nBob,25";
try {
// Pass the AbortSignal to the parse function
const result = await parse.toArray(csv, { signal });
console.log(result);
} catch (error) {
if (error instanceof DOMException && error.name === 'TimeoutError') {
// Handle the case where the processing was aborted due to timeout
console.log('CSV processing was aborted due to timeout.');
} else {
// Handle other errors
console.error('An error occurred during CSV processing:', error);
}
}
Supported Runtimes 💻
Works on Node.js
| Versions | Status | | -------- | ------ | | 20.x | ✅ | | 18.x | ✅ |
Works on Browser
| OS | Chrome | FireFox | Default | | ------- | ------ | ------- | ------------- | | Windows | ✅ | ✅ | ✅ (Edge) | | macos | ✅ | ✅ | ⬜ (Safari *) | | Linux | ✅ | ✅ | - |
* To Be Tested: I couldn't launch Safari in headless mode on GitHub Actions, so I couldn't verify it, but it probably works.
Others
APIs 🧑💻
High-level APIs 🚀
These APIs are designed for Simplicity and Ease of Use, providing an intuitive and straightforward experience for users.
function parse(input[, options]): AsyncIterableIterator<CSVRecord>
: 📑- Parses various CSV input formats into an asynchronous iterable of records.
function parse.toArray(input[, options]): Promise<CSVRecord[]>
: 📑- Parses CSV input into an array of records, ideal for smaller data sets.
The input
paramater can be a string
, a ReadableStream
of string
s or Uint8Arrays,
or a Uint8Array object,
or a ArrayBuffer object,
or a Response object.
Middle-level APIs 🧱
These APIs are optimized for Enhanced Performance and Control, catering to users who need more detailed and fine-tuned functionality.
function parseString(string[, options])
: 📑- Efficient parsing of CSV strings.
function parseBinary(buffer[, options])
: 📑- Parse CSV Binary of ArrayBuffer or Uint8Array.
function parseResponse(response[, options])
: 📑- Customized parsing directly from
Response
objects.
- Customized parsing directly from
function parseStream(stream[, options])
: 📑- Stream-based parsing for larger or continuous data.
function parseStringStream(stream[, options])
: 📑- Combines string-based parsing with stream processing.
function parseUint8ArrayStream(stream[, options])
: 📑- Parses binary streams with precise control over data types.
Low-level APIs ⚙️
These APIs are built for Advanced Customization and Pipeline Design, ideal for developers looking for in-depth control and flexibility.
class LexerTransformer
: 📑- A TransformStream class for lexical analysis of CSV data.
class RecordAssemblerTransformer
: 📑- Handles the assembly of parsed data into records.
Experimental APIs 🧪
These APIs are experimental and may change in the future.
Parsing using WebAssembly for high performance.
You can use WebAssembly to parse CSV data for high performance.
- Parsing with WebAssembly is faster than parsing with JavaScript, but it takes time to load the WebAssembly module.
- Supports only UTF-8 encoding csv data.
- Quotation characters are only
"
. (Double quotation mark)- If you pass a different character, it will throw an error.
import { loadWASM, parseStringWASM } from "web-csv-toolbox";
// load WebAssembly module
await loadWASM();
const csv = "a,b,c\n1,2,3";
// parse CSV string
const result = parseStringToArraySyncWASM(csv);
console.log(result);
// Prints:
// [{ a: "1", b: "2", c: "3" }]
function loadWASM(): Promise<void>
: 📑- Loads the WebAssembly module.
function parseStringToArraySyncWASM(string[, options]): CSVRecord[]
: 📑- Parses CSV strings into an array of records.
Options Configuration 🛠️
Common Options ⚙️
| Option | Description | Default | Notes |
| ----------- | ------------------------------------- | ----------- | ------------------------------------------------- |
| delimiter
| Character to separate fields | ,
| |
| quotation
| Character used for quoting fields | "
| |
| headers
| Custom headers for the parsed records | First row | If not provided, the first row is used as headers |
| signal
| AbortSignal to cancel processing | undefined
| Allows aborting of long-running operations |
Advanced Options (Binary-Specific) 🧬
| Option | Description | Default | Notes |
| --------------- | ------------------------------------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------- |
| charset
| Character encoding for binary CSV inputs | utf-8
| See Encoding API Compatibility for the encoding formats that can be specified. |
| decompression
| Decompression algorithm for compressed CSV inputs | | See DecompressionStream Compatibility. |
| ignoreBOM
| Whether to ignore Byte Order Mark (BOM) | false
| See TextDecoderOptions.ignoreBOM for more information about the BOM. |
| fatal
| Throw an error on invalid characters | false
| See TextDecoderOptions.fatal for more information. |
How to Contribute 💪
Star ⭐
The easiest way to contribute is to use the library and star repository.
Questions 💭
Feel free to ask questions on GitHub Discussions.
Report bugs / request additional features 💡
Please register at GitHub Issues.
Financial Support 💸
Please support kamiazya.
Even just a dollar is enough motivation to develop 😊
License ⚖️
This software is released under the MIT License, see LICENSE.