Skip to the content
Rung

Third-party notices

Updated August 29, 2026

Rung includes the datasets, fonts, models, and libraries listed here, each under its own license. Credits is the shorter, plain-language version of the same list.

Data

  • O*NET 30.3 Database, US Department of Labor, Employment and Training Administration (USDOL/ETA), under CC BY 4.0. O*NET® is a trademark of USDOL/ETA. Vigu Enterprises LLC has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Last refreshed in July 2026.
  • Occupational Employment and Wage Statistics, US Bureau of Labor Statistics. A US government work, in the public domain.
  • Population Estimates, US Census Bureau. A US government work, in the public domain.
  • Classification of Instructional Programs, National Center for Education Statistics, US Department of Education. A US government work, in the public domain.
  • Dingel, Jonathan I. and Brent Neiman (2020), "How Many Jobs Can Be Done at Home?", Journal of Public Economics, from jdingel/DingelNeiman-workathome (GPL-3.0 upstream). Rung uses the factual suitability scores keyed by occupation code.

The Spanish occupation data and the Spanish interface are machine translations of their English bases, pending a native-speaker review. Datasets with no upstream source are Rung's own work.

Fonts

  • Atkinson Hyperlegible Next (Braille Institute of America), Hanken Grotesk (The Hanken Grotesk Project Authors), Inter (The Inter Project Authors), Space Grotesk (Florian Karsten and Project Authors), and Noto Sans (The Noto Project Authors), each under the SIL Open Font License 1.1.
  • Clash Grotesk (Indian Type Foundry), under the ITF Free Font License, self-hosted and not redistributed.

Code that runs in your browser

  • Silero VAD v5 (Silero Team), MIT.
  • ONNX Runtime Web 1.18.0 and 1.29.0 (Microsoft), MIT. Runs image-text recognition models in the browser.
  • docx (Dolan Miu), MIT. Builds the Word file on your device.
  • PDF.js 6.2.108 (Mozilla contributors), Apache-2.0. Reads PDF text and pages on your device.
  • Mammoth 1.12.2 (Michael Williamson), BSD-2-Clause. Reads DOCX text on your device.
  • PaddleOCR.js 0.4.2 with PP-OCRv6 and PP-OCRv5 models (PaddlePaddle Authors), Apache-2.0. Reads printed text from images on your device, including English, Spanish, Simplified Chinese, Korean, and Japanese.
  • OpenCV.js 4.10.0 (OpenCV and TechStark contributors), Apache-2.0; Clipper 6.4.2 (Angus Johnson and contributors), Boost Software License 1.0; and js-yaml 4.3.2 (Vitaly Puzrin and contributors), MIT. Prepare images, text regions, and model settings for browser-local recognition.

The applicable MIT, BSD-2-Clause, Apache-2.0, and Boost Software License 1.0 texts are shipped alongside the files they cover.

Server software

Flask, Werkzeug, Jinja2, MarkupSafe, python-dotenv, Flask-WTF, Flask-Caching (BSD-3-Clause); Flask-Limiter, limits, user-agents, ua-parser, gunicorn (MIT and Apache-2.0).

Icons

The globe mark comes from the JetBrains icon set under CC BY 4.0, resized for Rung. Every other icon is drawn for Rung.