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README.md
14
README.md
@ -16,6 +16,12 @@ Hyparquet is a lightweight, pure JavaScript library for parsing [Apache Parquet]
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Hyparquet allows you to read and extract data from Parquet files directly in JavaScript environments, both in Node.js and in the browser. It is designed to be fast, memory-efficient, and easy to use.
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## Demo
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Online parquet file reader demo available at:
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https://hyparam.github.io/hyparquet/
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## Why hyparquet?
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1. **Performant**: Designed to efficiently process large datasets by only loading the required data, making it suitable for big data and machine learning applications.
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@ -39,14 +45,6 @@ First, existing libraries like [parquetjs](https://github.com/ironSource/parquet
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Importantly, they do not support the kind of stream processing needed to make a really performant parser in the browser.
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And finally, no dependencies means that hyparquet is lean, and easy to package and deploy.
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## Demo
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Online parquet file reader demo available at:
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https://hyparam.github.io/hyparquet/
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Demo source: [index.html](index.html)
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## Usage
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Install the hyparquet package from npm:
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12
package.json
12
package.json
@ -26,15 +26,15 @@
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"test": "vitest run"
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},
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"devDependencies": {
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"@types/node": "20.14.9",
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"@typescript-eslint/eslint-plugin": "7.14.1",
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"@vitest/coverage-v8": "1.6.0",
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"@types/node": "20.14.11",
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"@typescript-eslint/eslint-plugin": "7.17.0",
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"@vitest/coverage-v8": "2.0.4",
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"eslint": "8.57.0",
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"eslint-plugin-import": "2.29.1",
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"eslint-plugin-jsdoc": "48.5.0",
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"eslint-plugin-jsdoc": "48.8.3",
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"http-server": "14.1.1",
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"hyparquet-compressors": "0.1.4",
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"typescript": "5.4.5",
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"vitest": "1.6.0"
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"typescript": "5.5.4",
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"vitest": "2.0.4"
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}
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}
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