EditWithAva

#5846 · by [REDACTED]

infra serverless GPU

0.51/ 5.00

blockedBeta

Mar 5, 2026 at 7:58 AM6 signals analysedNo manual reviews · fully automated

Trust Signal Breakdown

low23 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

0 of 3 sub-signals with data

Known CVEsno data—

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Dependency Healthno data—

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Supply Chainno data—

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Uptime, latency, error rates, and incident history

0 of 4 sub-signals with data

Uptimeno data—

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Response Latencyno data—

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Error Rateno data—

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Incident Historyno data—

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

0 of 4 sub-signals with data

Commit Recencyno data—

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Release Cadenceno data—

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Issue Responseno data—

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CI/CD Presenceno data—

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Downloads, stars, dependents, and growth trajectory

0 of 4 sub-signals with data

Download Volumeno data—

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GitHub Starsno data—

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Dependent Packagesno data—

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Growth Trendno data—

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License, documentation, security policy, changelog

0 of 4 sub-signals with data

Open Sourceno data—

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Documentationno data—

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Security Policyno data—

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Changelogno data—

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Track record, org maturity, community standing

4 of 4 sub-signals with data

Track Record30%3.0

Internal: 3.0 (38 services), External: 2.5 (189 followers, 286 stars)

via Fabric index

Org Maturity30%5.0

User account, 16.7 years old

via GitHub

Community Standing20%4.0

90 public repositories

via GitHub

Cross-Platform20%1.0

Present on 1 platform(s): github

via Registry scan

Limited data available — 5 of 6 signals pending evaluation

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

EditWithAva is an AI-powered video editing assistant published by [REDACTED] with an unknown license, monitored through an approved source. The service shows a composite trust score of 2.99/5.00, driven entirely by moderate publisher trust (3.40/5.00) while all other signals — vulnerability assessment, operational maturity, maintenance activity, adoption metrics, and transparency — register at zero, indicating insufficient public data or lack of community validation. The absence of license information, missing documentation, and zero scores across technical signals make this service difficult to assess for production infrastructure use without direct vendor engagement.

Generated by Fabric AI · Mar 4, 2026 at 4:54 AM

Incidents & Alertslast 90 days

Mar 5Trust score decreased by 2.480.51

Mar 3EditWithAva added to Trust Index2.99

Showing 2 of 2 events

Score History2 snapshots

5.003.752.501.250.00

Mar 3Mar 5

Data Sources6 indexed

OSV.devCVE database · vulnerability scanning for npm & PyPI packages

GitHub APICommits, issues, releases, repo metadata, transparency checks

npm RegistryPackage metadata, weekly downloads, maintainers, dependencies

PyPIPackage metadata, weekly downloads, dependency tree

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HTTP Health Checks15-min pings · uptime, latency, status monitoring

PyPI StatsDownload statistics and trends

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