CLUSTER DESKTOP-DATA-SCIENTIFIC · 43 ENTRIES · EARLIEST ENTRY 2014-07-20
Scientific data visualization apps
This cluster consists of desktop-centric applications for scientific data visualization, plotting, and analysis, with some web-based and instrument-specific tools. Dated entries are sparse in 2013-2014, then become more frequent from 2020 onward, including several months in 2026 up to just before the index start. The traction leader is dsh-Mimir-Academic-research with 206 stars, followed by stat-data-viewer (2 stars) and SeisForge-Studio (1 star).
Entry timeline
ENTRY TIMELINE
Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.
Members by activity
Activity signals, not revenue.
Build origin · 1 ai-built · 2 unlabelled
Operator · 1 hobby · 2 unlabelled
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 3 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 41Dataset Explorer - Interactive Research Data Visualization0★unknownliveai-builtInteractive visualization platform for researchers and students to explore, filter, and statistically analyze complex datasets.
- 42foghorn-tech/graphic-walker-desktop0★unknownliveA desktop application for interactive visual data exploration and analysis.
- 43LogarithmPlotter0★unknownlivehobbyDesktop tool for creating and editing asymptotic Bode plots and other logarithmic or linear diagrams for engineering and educational use.
Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.