Evidaxis

scikit-learn

repo
Unassigned (AI-v1 census) · n = 6545 · 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 6545 in cohort
percentile 16 within cohort p25 p50 p75 p0 p100
percentile
p16
momentum averages present-axis z-scores; two- and three-axis scores are not strictly comparable
velocity z
velocity z gaugevelocity z-1.27 within cohort, log-slope -0.016/wk.0-1.27
velocity z
-1.27 σ
slope
-0.016/wk
log-slope -0.016/wk
citation z Citation source: not measured.
direct-dependents z Direct-dependents axis: no admitted own package; not measured.
cohort
6545
systems measured
weekly commits
27.1
Development velocity axis: measured.
total citations
n/a
Citation source: not measured.
momentum
34.2
percentile p16
commit heatmap, last 26 weeks27.1/wk
weekly commits, 26 weeks26 weeks of commits, peak 53 in a week, 26 active weeks, 800 total.week 1: 39 commitsweek 2: 38 commitsweek 3: 36 commitsweek 4: 41 commitsweek 5: 52 commitsweek 6: 36 commitsweek 7: 25 commitsweek 8: 20 commitsweek 9: 31 commitsweek 10: 18 commitsweek 11: 53 commitsweek 12: 38 commitsweek 13: 28 commitsweek 14: 20 commitsweek 15: 33 commitsweek 16: 23 commitsweek 17: 20 commitsweek 18: 25 commitsweek 19: 31 commitsweek 20: 28 commitsweek 21: 11 commitsweek 22: 22 commitsweek 23: 32 commitsweek 24: 25 commitsweek 25: 26 commitsweek 26: 49 commits
weeks
26
peak/wk
53
active
26
total
800
citations by yearCitation source: not measured.
Daily dependents count (unscored) 32,836 dependents 21,800 direct, 11,755 indirect · pypi/scikit-learn · deps.dev · the scored m5 axis uses weekly partitions

scikit-learn holds an Evidaxis momentum score of 34.2 of 100 on methodology m5, snapshot 2026-11-07, measured within the Unassigned (AI-v1 census) cohort (n = 6545). 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 +5.08, regime accelerating. prior slope +0.005, recent slope +0.025 per week. +0.005prior 39w+0.025recent 13w+5.08×
swing
+5.08×
regime
accelerating
windows
13w vs 39w
snapshot 1 of 1 · · m5
commit-axis Sharpe log-linear slope over residual std, value -0.006 with 95% CI -0.028 to +0.015, 50 degrees of freedom. CI spans zero.0-0.00695% CI -0.028, +0.015-0.028+0.015
sharpe
-0.006
95% ci
-0.028, +0.015
dof
50
snapshot 1 of 1 · · m5
commit changepoint52 weekly commit points. No significant changepoint detected (|delta slope| within the noise floor).no significant changepoint
changepoint
none detected
snapshot 1 of 1 · · m5
code-leads-citation lag reserved

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

status
reserved
value
insufficient data
snapshot 1 of 1 · · m5
axis alpha vs cohort reserved

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

status
reserved
value
insufficient data
snapshot 1 of 1 · · m5
gate ETA reserved

reserved: needs snapshot history (1 snapshot exists)

status
reserved
value
insufficient history
snapshot 1 of 1 · · m5
methodology gate snapshot 1 of 1 · · m5
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 · · m5

Daily dependents count (unscored)

scikit-learn dependents over time11 points, range 31340 to 32836 dependents.
min
31340 dependents
max
32836 dependents
latest
32836 dependents
points
11

Downstream packages depending on pypi/scikit-learn (deps.dev), captured point-in-time each snapshot. This daily series is unscored. The scored axis in m5 uses weekly partitions.

Measurement states

scikit-learn is under weekly measurement. History: 11 weekly observations; minimum 4. Development velocity axis: measured. Citation source: not measured. Direct-dependents axis: no admitted own package; not measured. Gate: not computable — 1 of 3 axes measurable

Sources

scikit-learn/scikit-learn development-velocity axis

Direct-dependents momentum (deps.dev)

Direct-dependents axis: no admitted own package; 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 m5 snapshot 868e3c39d9c7 period 2026-w45 record JSON ↓ source snapshot

Score derived from public data on Evidaxis methodology m5, never edited by hand. Cite as: “Evidaxis, scikit-learn, entity e_WPZ5QHX33YZ, snapshot 2026-w45.”

Durable reference (format-independent): urn:evidaxis:claim:e_WPZ5QHX33YZ:m5:2026-11-07