Analysis updated 2026-07-18 · repo last pushed 2025-09-04
Extract numerical data from a chart in a research paper for a literature review.
Digitize an old historical graph that was never stored digitally.
Pull competitor pricing numbers from a chart shown in a slide deck.
Convert a scatter plot image into a spreadsheet-ready dataset.
| baikemark/webplotdigitizer | 00kaku/gallery-slider-block | 04amanrajj/netwatch | |
|---|---|---|---|
| Stars | — | — | 0 |
| Language | — | JavaScript | Rust |
| Last pushed | 2025-09-04 | 2021-05-19 | — |
| Maintenance | Quiet | Dormant | — |
| Setup difficulty | easy | easy | moderate |
| Complexity | 1/5 | 2/5 | 3/5 |
| Audience | researcher | general | ops devops |
Figures from each repo's GitHub metadata at analysis time.
No install needed for the web app, but advanced AI-assisted extraction runs on the company's hosted service.
A web tool that extracts the underlying numerical data from a chart image, turning graphs from papers or reports into spreadsheet-ready numbers.
Quiet — no commits in 6-12 months (last push 2025-09-04).
Frontend code is open source and freely viewable/modifiable, AI cloud features are run by the company separately.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
Verify against the repo before relying on details.