Github Trends®
8833 findingsmedian surprise 0.00433window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #4112 · UNIT ID 596377730
openobserve/openobserve
Open source observability platform for logs, metrics, traces, RUM, Session replay, pipelines, SLO and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage costs and single binary deployment.
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SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00349
ENGAGEMENT0.28
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
19.00
ACCEL
+3.50
RETENTION
73.1%
PEAK 2026-09-11 · FORK-RETENTION 0.0% · 57 STARS / WINDOW

Author Audience

AUDIENCE
5,403
FOLLOWERS
465
OWNER ★
22,363

Engagement Signals

FORKS
1,076
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 57 / 57 (DIVERSITY 1.00)

Why This Is A Finding

openobserve/openobserve собрал 57 звёзд за окно, тогда как у автора всего 465 подписчиков — эффективная аудитория ≈ 5,403. Это даёт surprise-индекс 0.00349 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 8833 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 53%
VELOCITY19.005.67+13.33ABOVE 84%
RETENTION73.1%45.9%+27.2 PPABOVE 80%
FORKS1,076344+732ABOVE 72%
SURPRISE0.000.00-0.00ABOVE 46%