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dspy.ts

#105 · by ruvnet
4.14/ 5.00
trustedBeta
Mar 5, 2026 at 7:04 AM6 signals analysedNo manual reviews · fully automated
Trust Signal Breakdown
medium23 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

3 of 3 sub-signals with data

Known CVEs40%5.0

No known CVEs

via OSV.dev

Dependency Health30%5.0

11 dependencies (minimal)

via npm / PyPI

Supply Chain30%4.8

14 transitive CVEs found (penalty: -0.25)

via npm provenance

Uptime, latency, error rates, and incident history

4 of 4 sub-signals with data

Uptime35%5.0

100.00% over 4 checks

via Health checks

Response Latency25%5.0

p99: 194ms, p50: 178ms

via Health checks

Error Rate20%5.0

0.00% error rate (0/4)

via Health checks

Incident History20%4.0

1 incidents in last 90 days

via Incidents table

Commit recency, release cadence, issue response, CI/CD

0 of 4 sub-signals with data

Commit Recencyno data

Weight redistributed to sub-signals with data

Release Cadenceno data

Weight redistributed to sub-signals with data

Issue Responseno data

Weight redistributed to sub-signals with data

CI/CD Presenceno data

Weight redistributed to sub-signals with data

Downloads, stars, dependents, and growth trajectory

2 of 4 sub-signals with data

Download Volume67%2.0

195 weekly downloads

via npm / PyPI

GitHub Starsno data

Weight redistributed to sub-signals with data

Dependent Packagesno data

Weight redistributed to sub-signals with data

Growth Trend33%2.0

-14.5% week-over-week

via npm

License, documentation, security policy, changelog

0 of 4 sub-signals with data

Open Sourceno data

Weight redistributed to sub-signals with data

Documentationno data

Weight redistributed to sub-signals with data

Security Policyno data

Weight redistributed to sub-signals with data

Changelogno data

Weight redistributed to sub-signals with data

Track record, org maturity, community standing

4 of 4 sub-signals with data

Track Record30%4.0

Internal: 3.0 (22 services), External: 4.0 (4295 followers, 42540 stars)

via Fabric index

Org Maturity30%5.0

User account, 13.2 years old

via GitHub

Community Standing20%5.0

163 public repositories

via GitHub

Cross-Platform20%3.0

Present on 2 platform(s): github, npm

via Registry scan

About this score
Scored across 23 sub-signals in 6 dimensionsScoring engine v1 (beta) — actively being expandedPhase 1: Core sub-signal architecture (live)Phase 2: Permission scope & expanded collection (in progress)
Trust AssessmentAI Assessment

dspy.ts is a TypeScript framework published by ruvnet under MIT license, claiming 100% compatibility with the Python DSPy library while adding multi-agent orchestration and self-learning capabilities. The package shows clean vulnerability records and stable operations, but maintenance and transparency scores are zero, indicating minimal documented maintenance activity or governance practices. With only 195 weekly downloads and a single maintainer, the service carries concentration risk typical of early-stage framework projects despite its ambitious feature claims.

Generated by Fabric AI · Mar 4, 2026 at 4:18 AM

Package Availability (30d)
100.00%
p50: 178ms · p99: 194ms
Avg Latency
137ms
averaged across 30d health checks
Weekly Downloads
no package registry data
Incidents & Alertslast 90 days
Mar 2Trust score increased by 0.784.16
Feb 26dspy.ts added to Trust Index3.31
Showing 2 of 2 events
Score History71 snapshots
5.003.752.501.250.00
Feb 26Mar 5
Supply Chain & Dependenciestrust chain
agentdb
npm · ^1.3.9
async-retry
npm · ^1.3.3
inversify
npm · ^6.0.2
js-pytorch
npm · ^0.7.2
onnxruntime-web
npm · ^1.20.1
pino
npm · ^8.19.0
Showing 6 of 11 dependencies
Data Sources6 indexed

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