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Shumai
A high-performance, differentiable tensor library built for TypeScript and JavaScript developers
verified Jul 13, 2026 · HTTP 200
CohortClass of 2026What it is
A high-performance, differentiable tensor library built for TypeScript and JavaScript developers. Shumai enables fast, network-connected machine learning with built-in support for automatic differentiation, making it accessible for both software engineers and researchers.
HTTP liveness
9 probes since Jun 16Jun 16Jul 13
AliveHard-dead (404/5xx/parked)RedirectedUnverified (timeout/DNS/block)
Observed events
probes · press · GitHub- Jun 16, 2026First probe — liveAlive · 200 OK
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Pulse Indexobserved activity
9 probes0 pressGitHub –Tranco –
Not enough observed signals for a Pulse Index (needs 2+ signal families).
Cohort survival · Class of 2026weekly
550 products launched in 2026 · 100% still active
550 active0 sunset
Still active
100%
Median lifespan
4.9y