Evidaxis

scikit-learn

repo
Unassigned (AI-v1 census) · n = 77 · scikit-learn/scikit-learn
1 of 3 axes measurable · conf low
convergence gate
Convergence gate: Gate: not computable — 1 of 3 axes measurable Development velocity: measured × Citation momentum: not measurable ∅ Direct-dependents momentum (deps.dev): not measurable ∅
gate
0 of 3 axes

Gate: not computable — 1 of 3 axes measurable

Gate: not computable — 1 of 3 axes measurable
position in cohort distribution one of 77 in cohort
percentile 25 within cohort p25 p50 p75 p0 p100
percentile
p25
momentum averages present-axis z-scores; two- and three-axis scores are not strictly comparable
velocity z
velocity z gaugevelocity z-0.36 within cohort, log-slope -0.015/wk.0-0.36
velocity z
-0.36 σ
slope
-0.015/wk
log-slope -0.015/wk
citation z Citation source: not measured.
direct-dependents z Direct-dependents axis: outside the frozen panel; not measured.
cohort
77
systems measured
weekly commits
28.2
Development velocity axis: measured.
total citations
n/a
Citation source: not measured.
momentum
45.5
percentile p25
commit heatmap, last 26 weeks28.2/wk
weekly commits, 26 weeks26 weeks of commits, peak 53 in a week, 26 active weeks, 850 total.week 1: 27 commitsweek 2: 31 commitsweek 3: 33 commitsweek 4: 47 commitsweek 5: 35 commitsweek 6: 26 commitsweek 7: 46 commitsweek 8: 39 commitsweek 9: 38 commitsweek 10: 36 commitsweek 11: 41 commitsweek 12: 52 commitsweek 13: 36 commitsweek 14: 25 commitsweek 15: 20 commitsweek 16: 31 commitsweek 17: 18 commitsweek 18: 53 commitsweek 19: 38 commitsweek 20: 28 commitsweek 21: 20 commitsweek 22: 33 commitsweek 23: 23 commitsweek 24: 20 commitsweek 25: 25 commitsweek 26: 29 commits
weeks
26
peak/wk
53
active
26
total
850
citations by yearCitation source: not measured.
Daily dependents count (unscored) 31,707 dependents 20,987 direct, 11,412 indirect · pypi/scikit-learn · deps.dev · the scored m3 axis uses weekly partitions

scikit-learn holds an Evidaxis momentum score of 45.5 of 100 on methodology m3, snapshot 2026-09-19, measured within the Unassigned (AI-v1 census) cohort (n = 77). Axis coverage: 1 of 3 axes measurable. Gate: not computable — 1 of 3 axes measurable

Derived signals

second-order reads, computed from the published series

Three signals ship when the commit series is statistically sufficient; the rest are held in a reserved state until the data supports them. A reserved signal shows its reason, never a fabricated number. How these are computed.

recency-weighted swing trailing 13-week vs prior 39-week log-slope ratio +1.43, regime accelerating. prior slope -0.002, recent slope -0.003 per week. -0.002prior 39w-0.003recent 13w+1.43×
swing
+1.43×
regime
accelerating
windows
13w vs 39w
snapshot 1 of 1 · · m3
commit-axis Sharpe log-linear slope over residual std, value -0.018 with 95% CI -0.041 to +0.005, 50 degrees of freedom. CI spans zero.0-0.01895% CI -0.041, +0.005-0.041+0.005
sharpe
-0.018
95% ci
-0.041, +0.005
dof
50
snapshot 1 of 1 · · m3
commit changepoint52 weekly commit points. Changepoint at week 4 (2025-10-18), slope change -31.091 commits per week.2025-10-18
date
week
4 of 52
Δslope
-31.091/wk
snapshot 1 of 1 · · m3
code-leads-citation lag reserved

reserved: citation series too short / axis absent for cross-correlation

status
reserved
value
insufficient data
snapshot 1 of 1 · · m3
axis alpha vs cohort reserved

reserved: cohort N too small for regression (power ~0)

status
reserved
value
insufficient data
snapshot 1 of 1 · · m3
gate ETA reserved

reserved: needs snapshot history (1 snapshot exists)

status
reserved
value
insufficient history
snapshot 1 of 1 · · m3
methodology gate snapshot 1 of 1 · · m3
commit weeks
52
citation years
0
shipped
3
reserved
3

shipped

  • recency-swing
  • commit-sharpe
  • commit-changepoint

reserved

  • code-leads-citation-lag
  • axis-alpha
  • gate-eta
snapshot 1 of 1 · · m3

Daily dependents count (unscored)

scikit-learn dependents over time4 points, range 31340 to 31757 dependents.
min
31340 dependents
max
31757 dependents
latest
31707 dependents
points
4

Downstream packages depending on pypi/scikit-learn (deps.dev), captured point-in-time each snapshot. This daily series is unscored. The scored axis in m3 uses weekly partitions.

Measurement states

scikit-learn is under weekly measurement. History: 4 weekly observations; minimum 4. Development velocity axis: measured. Citation source: not measured. Direct-dependents axis: outside the frozen panel; not measured. Gate: not computable — 1 of 3 axes measurable

Sources

scikit-learn/scikit-learn development-velocity axis

Others in Unassigned (AI-v1 census)

Agent-Reach Unassigned (AI-v1 census)
1 of 3 axes measurable
48
p33
vel -0.15 cit no axis deps no axis
axis dials
-0.15 n/a n/a
agent-skills Unassigned (AI-v1 census)
1 of 3 axes measurable
48
p29
vel -0.20 cit no axis deps no axis
axis dials
-0.20 n/a n/a
Agentic-Bug-Hunter Unassigned (AI-v1 census)
1 of 3 axes measurable
39
p12
vel -0.85 cit no axis deps no axis
axis dials
-0.85 n/a n/a
anything-llm Unassigned (AI-v1 census)
1 of 3 axes measurable
54
p55
vel +0.34 cit no axis deps no axis
axis dials
+0.34 n/a n/a
arcbox Unassigned (AI-v1 census)
1 of 3 axes measurable
36
p7
vel -1.10 cit no axis deps no axis
axis dials
-1.10 n/a n/a
caveman Unassigned (AI-v1 census)
1 of 3 axes measurable
73
p86
vel +1.86 cit no axis deps no axis
axis dials
+1.86 n/a n/a

Full Unassigned (AI-v1 census) cohort →

Direct-dependents momentum (deps.dev)

Direct-dependents axis: outside the frozen panel; not measured.

Coverage state
out_of_panel
Cohort z
no axis
OLS slope
n/a
Theil-Sen slope
n/a
Latest direct dependents
n/a
Confirmed-clean points
n/a
Reconstructed history points
n/a
As-of partition
n/a
Fragility veto
n/a
Rising vote
no

Source: deps.dev (Google), CC-BY 4.0. Modified: aggregated to system-level counts and momentum scores.

Axis definition · Snapshot axis correlations

entity_id e_WPZ5QHX33YZ methodology m3 snapshot fcfd3a7ccdcb period 2026-w38 record JSON ↓ source snapshot

Score derived from public data on Evidaxis methodology m3, never edited by hand. Cite as: “Evidaxis, scikit-learn, entity e_WPZ5QHX33YZ, snapshot 2026-w38.”

Durable reference (format-independent): urn:evidaxis:claim:e_WPZ5QHX33YZ:m3:2026-09-19