Whitespace.
See who already built your idea — and the space they left open.

CLUSTER SEARCH-ANALYTICS-BROWSER · 5 ENTRIES · EARLIEST ENTRY 2018-02-10

Elasticsearch analytics dashboards

This cluster consists of browser-based dashboards for exploring, visualizing, and searching data stored in Elasticsearch. The five dated entries are spread across 2018, 2021, 2022, and 2026, showing no clear timeline shape. Kibana and its related packages lead in activity signals, though all have zero stars.

Entry timeline

ENTRY TIMELINE

FEB 2018: 1JAN 2021: 1JAN 2022: 1MAR 2022: 1FEB 2026: 1
FEB 2018FEB 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. 01kibana0★1 moliveopen sourceBrowser-based analytics and search dashboard that lets users explore, visualize, and search data stored in Elasticsearch.
  2. 02kibana-xpack0★1 moliveopen sourceBrowser-based analytics and search dashboard that lets users explore, visualize, and search data stored in Elasticsearch.
  3. 03kibana-bin0★2 moliveopen sourceBrowser-based analytics and search dashboard that lets users explore, visualize, and search data stored in Elasticsearch.
  4. 04kibana50★4 moliveopen sourceBrowser-based analytics dashboard that searches and visualizes data stored in Elasticsearch clusters for operational insights.
  5. 05kibana60★4 moliveopen sourceBrowser-based analytics dashboard that searches and visualizes data stored in Elasticsearch clusters for operational insights.

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.