Github Trends®
7165 findingsmedian surprise 0.0121window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: starredAt history
РЕПО НЕТ В ОКНЕ 3D. ПОКАЗАН FINDING ИЗ ОКНА 90D (90 days) — РАНГ #5128.
FINDING #5128 · UNIT ID 1189957147
Text2SqlAgent/text2sql-framework
Agentic text-to-SQL SDK: hand the LLM one execute_sql tool and let it explore the schema, test queries, and self-correct — no RAG, no semantic layer. 20/20 on an 80-table Spider run. Built-in tracing and scenario support.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0218
ENGAGEMENT0.20
FRESHNESS1.30
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
97% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S1a · OWNER ACCOUNT AND REPO CREATED SAME DAY
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS

Growth Telemetry

VELOCITY /D
1.61
ACCEL
-0.07
RETENTION
1.3%
PEAK 2026-04-26 · FORK-RETENTION 0.0% · 145 STARS / WINDOW

Author Audience

AUDIENCE
34
FOLLOWERS
2
OWNER ★
149

Engagement Signals

FORKS
17
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 145 / 145 (DIVERSITY 1.00)

Why This Is A Finding

Text2SqlAgent/text2sql-framework собрал 145 звёзд за окно, тогда как у автора всего 2 подписчиков — эффективная аудитория ≈ 34. Это даёт surprise-индекс 0.0218 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 7165 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 28%
VELOCITY1.613.71-2.10ABOVE 5%
RETENTION1.3%15.4%-14.1 PPABOVE 3%
FORKS1784-67ABOVE 11%
SURPRISE0.020.01+0.01ABOVE 68%