ndjson.github.io
KeenWrite
ndjson.github.io | KeenWrite | |
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17 | 98 | |
23 | 621 | |
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0.0 | 0.0 | |
9 months ago | 8 months ago | |
CSS | Java | |
- | GNU General Public License v3.0 or later |
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ndjson.github.io
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What the fuck
However, since every JSON document can be represented in a single line, something like newline-delimited JSON / JSON Lines feels like it would've been more suitable for that kind of data.
- The XML spec is 25 years old today
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Consider Using CSV
No one uses that format for streamed json, see ndson and jsonl
http://ndjson.org/
The size complaint is overblown, as repeated fields are compressed away.
As other folks rightfully commented, csv is a mine field. One should assume every CSV file is broken in some way. They also don't enumerate any of the downsides of CSV.
What people should consider is using formats like Avro or Parquet that carry their schema with them so the data can be loaded and analyzed without have to manually deal with column meaning.
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DevTool Intro: The Algolia CLI!
What is ndjson? Newline delimited JSON is the format the Algolia CLI reads from and writes to files. This means that any command that passes ndjson formatted data as output or accepts it as input can be piped together with an Algolia CLI command! We’ll see more of this in the next example
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On read of JSON file it loads the entire JSON into memory.
You might consider using json-lines format (also known as newline-delimited JSON), in which each line is a separate JSON document so they can be loaded individually.
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How to format it as json?
The format you're getting is known as Newline-Delimited JSON. Instead of trying to parse the whole input and pass that to the JSON Decoder, you can use something like bufio.Scanner to get and parse it line by line.
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Arrow2 0.12.0 released - including almost complete support for Parquet
This is in oposition to NDJSON, which allows to split records without deserializing JSON itself, via e.g. read_lines. fwiw CSV suffers from the same problem as JSON - generally not possible to break into records without deserializing. It is worse than NDJSON because the character \n may appear at any position within an item, thus forbidding read_lines.
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Processing large JSON files in Python without running out of memory
I've always seen it referred to as ndjson
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Speeding up Go's builtin JSON encoder up to 55% for large arrays of objects
I think this would be fine, as long as the CSV layer was still parsable using the RFC 4180, then you could still use a normal CSV parser to parse the CSV layer and a normal JSON parser to parse the JSON layer. My worry with your example is that it is nether format, so it will need custom serialisation and deserialisation logic as it is essentially a bran new format.
https://datatracker.ietf.org/doc/html/rfc4180
If you’re looking for line-oriented JSON, another option would be ndjson: http://ndjson.org/
- IETF should keep XMPP as IM standard, instead of Matrix
KeenWrite
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Ask HN: Tell us about your project that's not done yet but you want feedback on
KeenWrite is my free, open-source, cross-platform desktop Markdown editor that can produce beautifully typeset PDFs. I started working on it years ago to help write a novel that has a complex timeline and I couldn't find a text editor that would allow me to integrate a character sheet with the story itself.
https://github.com/DaveJarvis/keenwrite
Tutorials:
* https://www.youtube.com/playlist?list=PLB-WIt1cZYLm1MMx2FBG9...
Here's what I mean by using variables directly:
* https://www.youtube.com/watch?v=CFCqe3A5dFg
CommonMark doesn't propose a standard for bibliographic references. Would anyone find the editor more appealing if it had cross-references and citations?
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Documentation as Code for Cloud Using PlantUML
My cross-platform desktop text editor, KeenWrite, allows users to define variables in an external YAML file. The editor calls out to Kroki[1] to convert text-based diagrams to SVG. The diagrams can reference variables and are rendered using EchoSVG[2].
KeenWrite[3] can produce PDF documentation from Markdown documents that has PlantUML diagrams with elements stored in an external, machine-readable file. Here are screenshots showing variables on the left, diagram text in the middle, and a real-time render on the right:
* https://raw.githubusercontent.com/DaveJarvis/KeenWrite/main/...
* https://raw.githubusercontent.com/DaveJarvis/KeenWrite/main/...
KeenWrite supports all diagrams offered by Kroki, which includes "diagram-plantuml".
[1]: https://kroki.io/
[2]: https://github.com/css4j/echosvg/
[3]: https://github.com/DaveJarvis/keenwrite
- On why Markdown is not a good, or even a half-decent, markup language
- MdBook – Create book from Markdown files. Like Gitbook but implemented in Rust
- KeenWrite 3.3.2: MermaidJS diagrams (with caveat)
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Interactive CommonMark Tutorial
Although not interactive, I've created a video series that shows advanced usage of Markdown. Namely R, external variables, diagrams, math, annotations, and a different approach to metadata:
* https://www.youtube.com/playlist?list=PLB-WIt1cZYLm1MMx2FBG9...
Tutorial 4 shows basic Markdown:
* https://www.youtube.com/watch?v=qNbGSiRzx-0
The top-right of each video shows keyboard and mouse clicks to help follow along.[1] My desktop text editor, KeenWrite[2], is used in the tutorials.
[1]: https://github.com/DaveJarvis/kmcaster
[2]: https://github.com/DaveJarvis/keenwrite
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“Exit Traps” Can Make Your Bash Scripts Way More Robust and Reliable
https://github.com/DaveJarvis/keenwrite/blob/main/scripts/bu...
My template script provides a way to make user-friendly shell scripts. In a script that uses the template, you define the dependencies and their sources:
DEPENDENCIES=(
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EchoSVG: SVG rasterizer library supporting level 4 selectors (Apache 2)
I didn't create the fork, nor am I affiliated with the project. I use it in my text editor, KeenWrite to rasterize SVG.
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Millions of dollars in time wasted making papers fit journal guidelines
KeenWrite Themes[1] are instructions that tell ConTeXt how to typeset XHTML documents (content) into PDF files (presentation). I made a tutorial that shows how my FOSS desktop text editor, KeenWrite[3], allows users to write in Markdown to typeset a document against a particular theme.
Before it can be used for scientific papers, it needs cross-references, which, unfortunately, aren't part of the CommonMark specification.
I posit that the vast majority of LaTeX users don't grok how to separate content from presentation. When I asked a question on TeX.SE about how to adjust the line spacing between enumerated items (spanning a couple dozen enumerated lists), the vast majority of people voted for the answer of using `\itemsep0em` to tweak each list ... individually.[4] The correct answer, IMO, is to fix the problem globally, and not waste time tweaking individual lists.
[1]: https://github.com/DaveJarvis/keenwrite-themes
[2]: https://www.youtube.com/watch?v=3QpX70O5S30
[3]: https://github.com/DaveJarvis/keenwrite
[4]: https://tex.stackexchange.com/questions/6081/reduce-space-be...
What are some alternatives?
ndjson - Streaming line delimited json parser + serializer
markdown-preview.nvim - markdown preview plugin for (neo)vim
flatten-tool - Tools for generating CSV and other flat versions of the structured data
marktext - 📝A simple and elegant markdown editor, available for Linux, macOS and Windows.
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
typst - A new markup-based typesetting system that is powerful and easy to learn.
babashka - A Clojure babushka for the grey areas of Bash (native fast-starting Clojure scripting environment) [Moved to: https://github.com/babashka/babashka]
vim-markdown - Markdown Vim Mode
datasette - An open source multi-tool for exploring and publishing data
Zettlr - Your One-Stop Publication Workbench
grop - helper script for the `gron | grep | gron -u` workflow
kroki - Creates diagrams from textual descriptions!