Alternatives

Products that do what EasyARXML does

A modern tool to visualize automotive ARXML files with ease

1
Obviously AI AutoML▲276
The fastest, most precise no-code AI in the world.
2020
2
Parsers▲300
Extract structured data and visualize it without code
2019
3SG
SapientML – Generative AutoML for Tabular Data▲82
2023 · github.com
4XF
XML Fiddler – tool for quick XML exploration▲62
2020 · masa331.github.io
5EA
Eel – a simple Python library for making little HTML GUI applications▲201
2018 · github.com
6
MakeML▲274
Train Neural Networks without a line of code
2019
7
ChartPixel▲80
Extract & visualize key insights from raw data in seconds!
2024
8
ScoopML▲81
An AI assistant for machine learning engineers
2020
9
Dynamic AutoML▲5
Dynamic AutoML: Automate Data Tasks for Smarter Results.
2024
10
DOM-docx – HTML to native, editable Word docs (MIT)▲158
Convert semantic HTML fragments to native, editable Word documents (OOXML) - floodtide/dom-docx
Jul 2026 · github.com
11BL
BookML – LaTeX to Bookdown-Style HTML and Scorm (Via LaTeXML)▲8
Quick plug in occasion of the Global Accessibility Awareness Day: BookML is a collection of CSS, scripts, and make-based magic to convert (largely unmodified) LaTeX files to HTML with as little pain as possible. The hard work is done by LaTeXML which pops up here on HN every once in a while, more often now that arXiv uses it for its accessible preprints effort. BookML is mainly aimed at HE staff working with LaTeX everyday and not having realistic chances of changing tech stack (due to workload, collaborators, and so on). Not to mention, there are virtually no alternatives to the kind of…
2024 · vlmantova.github.io
12AA
Autolabel, a Python library to label and enrich text data with LLMs▲153
Hi HN! I'm excited to share Autolabel, an open-source Python library to label and enrich text datasets with any Large Language Model (LLM) of your choice. We built Autolabel because access to clean, labeled data is a huge bottleneck for most ML/data science teams. The most capable LLMs are able to label data with high accuracy, and at a fraction of the cost and time compared to manual labeling. With Autolabel, you can leverage LLMs to label any text dataset with <5 lines of code. We’re eager for your feedback!
2023 · github.com
13EA
Eno – A lightning fast, user-friendly YAML/TOML alternative▲102
eno [1] - A modern plaintext language w/ libraries [2] for JavaScript, Python, Ruby & soon more! We migrated a big relational research database to a file-based solution - requirements were: - Super fast and easy editability for users - Highest performance for parsing/validating >10K documents on every user change. Our trials with YAML/TOML showed us that we wanted something both faster [3][4] and easier [4], something tailored for file-based content management ... and after months of research & development it's now publicly available (under MIT license) for everyone! Last but…
2018
14AP
AutoML Python Package for Tabular Data with Automatic Documentation▲67
2022 · github.com
15
EasyHTML▲8
A Free, clean and simple HTML code formatter and previewer.
2025
16WA
Web App with GUI for AutoML on Tabular Data▲41
2023 · github.com
17
Aryson XML Converter Tool▲5
Tool to Export XML to Other File Formats
2025
18
The Data Visualisation Catalogue▲94
Reference tool for data visualisation
2016
19SS
SHML (shell markup language)▲71
2015 · maxcdn.github.io
20AO
ApexCharts – Open-Source Chart Library for Web▲13
2018 · apexcharts.com
21
ExtractX▲14
Automated document data extraction
2025
22MA
Mathup – A simple MathML authoring tool▲32
2020 · runarberg.github.io
23
Easyparser▲33
Real-time Amazon scraper - data API
Jun 2026 · easyparser.com
24
Easy Arxiv▲14
Stop scrolling, start learning. AI-powered ArXiv research
2025

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