Github Trends®
9591 findingsmedian surprise 0.00783window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #4012 · UNIT ID 596377730
openobserve/openobserve
Open source observability platform for logs, metrics, traces, frontend monitoring, pipelines 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

SURPRISE0.00613
ENGAGEMENT0.34
FRESHNESS1.48
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
5% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
33.03
ACCEL
+0.48
RETENTION
24.3%
PEAK 2026-08-10 · FORK-RETENTION 68.2% · 991 STARS / WINDOW

Author Audience

AUDIENCE
5,351
FOLLOWERS
461
OWNER ★
22,145

Engagement Signals

FORKS
1,060
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 991 / 991 (DIVERSITY 1.00)

Why This Is A Finding

openobserve/openobserve собрал 991 звёзд за окно, тогда как у автора всего 461 подписчиков — эффективная аудитория ≈ 5,351. Это даёт surprise-индекс 0.00613 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 68.2% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9591 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 58%
VELOCITY33.033.63+29.40ABOVE 94%
RETENTION24.3%24.8%-0.5 PPABOVE 49%
FORKS1,060120+940ABOVE 91%
SURPRISE0.010.01-0.00ABOVE 44%