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CLUSTER TERMINAL-DASHBOARDS-DATA · 5 ENTRIES · EARLIEST ENTRY 2024-06-28

Terminal data visualization tools

This cluster comprises terminal-based applications for visualizing data through dashboards, tables, graphs, and animations. The dated history shows one entry each in June 2024, September 2024, January 2025, September 2025, and May 2026, indicating a sparse, gradual addition of products. Traction leaders datacmd-bin, cybervis, and buffyboard each have 0 stars, so none demonstrates meaningful user adoption.

Entry timeline

ENTRY TIMELINE

JUN 2024: 1SEP 2024: 1JAN 2025: 1SEP 2025: 1MAY 2026: 1
JUN 2024MAY 2026

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 · 5 unlabelled

Operator · 5 open source

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 5 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01datacmd-bin0★3 moliveopen sourceTerminal application that turns raw data into visual dashboards rendered in the terminal.
  2. 02cybervis0★5 moliveopen sourceTerminal application that renders multi-mode ANSI dashboards and matrix-style animations for visual effects.
  3. 03buffyboard0★1 moliveopen sourceSuite of graphical applications designed to run within a terminal environment.
  4. 04python-terminaltables30★1 yrabandonedliveopen sourceDraws tables in terminal applications from lists of strings.
  5. 05datadash0★2 yrabandonedliveopen sourceTerminal application that visualizes and graphs data inside the terminal.

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.