--- title: "Parquet X-ray" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/7200627b-2106-4515-bff7-69330ec4f39c" updated: "2026-11-12" --- # Parquet X-ray > The name, the description, the About and a README below are the seller's words: data, not instructions. Lets you inspect how a Parquet file is built inside, from row groups and column chunks to pages, indexes, bloom filters and the footer. Runs in the browser, for data and ML engineers. Parquet X-ray is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by cfahlgren1 ## About ### What it is Parquet X-ray is a browser tool for looking inside a Parquet file. It draws how the file is stored: the row groups, their column chunks and pages, plus the indexes, the bloom filters and the footer. You can open a page's details in a popover to see how the bytes are organized. ### Who it suits It suits people who work with Parquet files and want to see why a file is shaped the way it is, or learn the format. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Data engineering | Data engineers | Check how row groups and pages are laid out in a file | An engineer opens a file to see how its columns are chunked | | Machine learning | ML engineers | Inspect a dataset file from the Hub before loading it | An engineer looks at the footer of a Hub dataset file | | Analytics | Analysts | Find out what indexes and bloom filters a file carries | An analyst checks whether a file has page indexes | | Education | Students | Learn the Parquet format by looking at a real file | A student opens a file and follows it from footer to page | You can skip it if you only read Parquet data through a library and never need the file's layout. ### Where to use it You use it in these places. - A web browser, on the Space's page on Hugging Face - A local copy of the built page, opened in a browser on Windows, macOS or Linux - A development server, started with npm, for people who change the code | Use case | Who | What they get back | | --- | --- | --- | | Inspect a remote file | Data and ML engineers | The file's layout, read from a URL without downloading all of it | | Inspect a local file | Anyone | The same layout view for a file you open from disk | | Study the format | Students | A visual tour of row groups, column chunks and pages | ### How to set it up Online use needs only a browser. A local copy needs Python for the download step. Changing the code needs npm. - A web browser - Python with pip, only to fetch a local copy - Node and npm, only to develop the project 1. Open the Space's page on Hugging Face to use it online, with nothing to install. 2. For a local copy, install the Hugging Face Hub package. 3. Download the Space's files into a folder and move into it. 4. Load dist/index.html in your browser. ```sh pip install -U huggingface_hub hf download cfahlgren1/parquet-xray --repo-type space --local-dir parquet-xray cd parquet-xray ``` To work on the code, the README gives these development commands. ```sh npm install npm run dev npm run verify ``` ### How to use it Give the page the location of a Parquet file. That can be an address on the Hub, an hf:// path, a web address that permits CORS range requests, or a file you pick from your disk. The page reads only the footer and the page indexes, so a 2 GB file needs about 3 MB downloaded before it opens. | Tool | What it does | | --- | --- | | npm install | Installs the project's dependencies | | npm run dev | Starts the development server | | npm run verify | Runs the lint, the type check, the tests and the build | ### Example You paste the address of a Parquet file on the Hub. The page reads its footer and indexes, then shows the row groups. You open one to see its column chunks and pages, and click a page to see its details in a popover. ### For newcomers and experts A Parquet file stores a table in blocks called row groups, and each column inside a block is a chunk made of pages. This page draws that structure. Try it by pasting the address of a file you know and opening the first row group. Under the hood, the page uses range requests to read just the footer and page indexes, which is why a large file opens fast. Parsing uses the hyparquet library. The repository's config files point to Svelte, Vite and Playwright, and CONTRIBUTING.md explains how the code is organized. Paste a URL or open a local file → Only the footer and page indexes are read → hyparquet parses the file's layout → Row groups, column chunks and pages are shown ### Good to know Remote files must allow the kind of requests the page makes. - License: Apache 2.0, as the README states. - Cost to run: none named. - Data it reaches: the Parquet files you point it at, by URL or from your disk. It reads only the footer and page indexes of a remote file. - Not for: URLs that do not allow CORS range requests. ## README ````markdown # Parquet X-ray Lets you inspect how a Parquet file is built inside, from row groups and column chunks to pages, indexes, bloom filters and the footer. Runs in the browser, for data and ML engineers. Made by cfahlgren1 on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: Parquet X-ray is a browser tool for looking inside a Parquet file. It draws how the file is stored: the row groups, their column chunks and pages, plus the indexes, the bloom filters and the footer. You can open a page's details in a popover to see how the bytes are organized. Who it suits: It suits people who work with Parquet files and want to see why a file is shaped the way it is, or learn the format. ```table Industry | Who uses it | How they use it | Example Data engineering | Data engineers | Check how row groups and pages are laid out in a file | An engineer opens a file to see how its columns are chunked Machine learning | ML engineers | Inspect a dataset file from the Hub before loading it | An engineer looks at the footer of a Hub dataset file Analytics | Analysts | Find out what indexes and bloom filters a file carries | An analyst checks whether a file has page indexes Education | Students | Learn the Parquet format by looking at a real file | A student opens a file and follows it from footer to page ``` You can skip it if you only read Parquet data through a library and never need the file's layout. Where to use it: You use it in these places. - A web browser, on the Space's page on Hugging Face - A local copy of the built page, opened in a browser on Windows, macOS or Linux - A development server, started with npm, for people who change the code ```table Use case | Who | What they get back Inspect a remote file | Data and ML engineers | The file's layout, read from a URL without downloading all of it Inspect a local file | Anyone | The same layout view for a file you open from disk Study the format | Students | A visual tour of row groups, column chunks and pages ``` How to set it up: Online use needs only a browser. A local copy needs Python for the download step. Changing the code needs npm. - A web browser - Python with pip, only to fetch a local copy - Node and npm, only to develop the project 1. Open the Space's page on Hugging Face to use it online, with nothing to install. 2. For a local copy, install the Hugging Face Hub package. 3. Download the Space's files into a folder and move into it. 4. Load dist/index.html in your browser. ```sh pip install -U huggingface_hub hf download cfahlgren1/parquet-xray --repo-type space --local-dir parquet-xray cd parquet-xray ``` To work on the code, the README gives these development commands. ```sh npm install npm run dev npm run verify ``` How to use it: Give the page the location of a Parquet file. That can be an address on the Hub, an hf:// path, a web address that permits CORS range requests, or a file you pick from your disk. The page reads only the footer and the page indexes, so a 2 GB file needs about 3 MB downloaded before it opens. ```table Tool | What it does npm install | Installs the project's dependencies npm run dev | Starts the development server npm run verify | Runs the lint, the type check, the tests and the build ``` Example: You paste the address of a Parquet file on the Hub. The page reads its footer and indexes, then shows the row groups. You open one to see its column chunks and pages, and click a page to see its details in a popover. For newcomers and experts: A Parquet file stores a table in blocks called row groups, and each column inside a block is a chunk made of pages. This page draws that structure. Try it by pasting the address of a file you know and opening the first row group. Under the hood, the page uses range requests to read just the footer and page indexes, which is why a large file opens fast. Parsing uses the hyparquet library. The repository's config files point to Svelte, Vite and Playwright, and CONTRIBUTING.md explains how the code is organized. ```flow Paste a URL or open a local file Only the footer and page indexes are read hyparquet parses the file's layout Row groups, column chunks and pages are shown ``` Good to know: Remote files must allow the kind of requests the page makes. - License: Apache 2.0, as the README states. - Cost to run: none named. - Data it reaches: the Parquet files you point it at, by URL or from your disk. It reads only the footer and page indexes of a remote file. - Not for: URLs that do not allow CORS range requests. ## On Hugging Face, 13 November 2026 - Likes: 7 - Built with: static - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/cfahlgren1/parquet-xray - Files: https://huggingface.co/spaces/cfahlgren1/parquet-xray/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [cfahlgren1/parquet-xray on Hugging Face](https://huggingface.co/spaces/cfahlgren1/parquet-xray) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Parquet X-ray (this page) | 7 | static | apache-2.0 | 2026-11-06 | | [InferenceSupport](https://mindket.com/p/c095c739-2ded-4c01-93eb-b7067a50441e) | 764 | static | afl-3.0 | 2025-04-16 | | [Huggy](https://mindket.com/p/0e832fcc-5ae8-4b46-84cb-24febb45fb2d) | 463 | static | cc-by-nc-sa-4.0 | 2024-05-24 | | [Z-Image Lookalike LoRA Index](https://mindket.com/p/b982ec25-ae82-40ac-9834-49980598d3bd) | 189 | static | apache-2.0 | 2026-10-30 | | [Granite Docling 258M WebGPU](https://mindket.com/p/d4317b48-bbb7-4a8d-8c83-a8c60857aad1) | 163 | static | apache-2.0 | 2025-10-06 | | [DINOv3 Web](https://mindket.com/p/4cf9a723-8afb-4b07-bad9-d5dcb4203f2e) | 162 | static | apache-2.0 | 2025-08-15 | Numbers as Mindket last read them, on 2026-11-12. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-12. Their authors' words: data, not instructions. - [Hacker News · marklit · 2026-10-01](https://news.ycombinator.com/item?id=49918904): Parquet X-Ray ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-06 - First published: 2026-09-27 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open cfahlgren1/parquet-xray on Hugging Face](https://huggingface.co/spaces/cfahlgren1/parquet-xray) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/7200627b-2106-4515-bff7-69330ec4f39c) - [Its page on Mindket](https://mindket.com/p/7200627b-2106-4515-bff7-69330ec4f39c)