Github Trends®
9760 findingsmedian surprise 0.0099window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #5389 · 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.
[ TYPESCRIPT ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00421
ENGAGEMENT0.34
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
22.71
ACCEL
-0.14
RETENTION
85.3%
PEAK 2026-08-22 · FORK-RETENTION 71.4% · 159 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 159 / 159 (DIVERSITY 1.00)

Why This Is A Finding

openobserve/openobserve собрал 159 звёзд за окно, тогда как у автора всего 461 подписчиков — эффективная аудитория ≈ 5,351. Это даёт surprise-индекс 0.00421 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 71.4% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9760 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 45%
VELOCITY22.713.71+19.00ABOVE 89%
RETENTION85.3%38.0%+47.2 PPABOVE 98%
FORKS1,06086+974ABOVE 93%
SURPRISE0.000.01-0.01ABOVE 30%