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Signalcrest
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dataentity · one source so far

scipy

for data scientists, research engineers

Steadystackoverflow
Signal score
7
Live items
1
Trajectory
Steady
7-day est. ~5

Why this scored 7

every term, weighted
Velocity+0.0 / 40

Its fastest-moving item, measured against the pace of its own source

Acceleration+11.6 / 25

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25

How many independent communities its own items come from

Recency+0.0 / 10

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty5.0 / 30

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite6.6

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Outlook

low confidence · estimate, not a guarantee

7-day

~5

range 017

14-day

~2

range 017

30-day

~0

range 019

Signal history

7-day window (free)
548

projected trajectory (estimate, not a guarantee)

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 1
    17

    Is there a way to make scipy.optimize.minimize(method='trust-constr') accurate?

    Improving trust-constr optimizer accuracy benefits reliability of scientific computations. · for data scientists, research engineers

    stackoverflowSteadydata2d ago
  2. 2
    17

    SciPy spsolve / SuperLU SUPERLU_MALLOC failure despite available RAM

    SuperLU memory bug hinders large sparse matrix solves, needing workarounds. · for scientific programmers, data engineers

    stackoverflowSteadydata14d ago
  3. 3
    15

    Understanding a certain condition for overlap-add method implemented in Scipy

    Scipy convolution method explained · for data scientists

    stackoverflowSteadydevtools29d ago
  4. 4
    4

    How to properly deal with nan values when using scipy.stats.pearsonr?

    Handle nan values · for data scientists

    stackoverflowSteadydata56d ago