Is Appdash Data Safe?

Appdash Data — Nerq Trust Score 46.2/100 (D grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-07-27.

Exercise caution with Appdash Data. Appdash Data is a Go module with a Nerq Trust Score of 46.2/100 (D), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 0/100. Data sourced from pkg.go.dev, GitHub, NVD, and Go vulnerability database. Last updated: 2026-03-25. Machine-readable data (JSON).

Is Appdash Data safe?

NO — USE WITH CAUTION — Appdash Data has a Nerq Trust Score of 46.2/100 (D). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.

Security Analysis → Appdash Data Privacy Report →

What is Appdash Data's trust score?

Appdash Data has a Nerq Trust Score of 46.2/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.

Security
90
Popularity
0

What are the key security findings for Appdash Data?

Appdash Data's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.

Security score: 90/100 (strong)
Popularity: 0/100 — community adoption

What is Appdash Data and who maintains it?

Authorsourcegraph
CategoryGo Packages
SourceN/A

Appdash Data Across Platforms

Same developer/company in other registries:

sourcegraph.sourcegraph
60/100 · vscode
sourcegraph.cody-ai
60/100 · vscode
sourcegraph.amp
58/100 · vscode
sourcegraph.vscode-sourcegraph-theme
57/100 · vscode
sourcegraph.javascript-typescript
57/100 · vscode

Similar Go by Trust Score

github.com/libp2p/go-libp2p-autonat-svc (48)github.com/therecipe/env_windows_amd64_513 (48)github.com/terraform-providers/terraform-provider-ignition (48)github.com/birkirb/loggers-mapper-logrus (48)github.com/Kerrigan29a/go_ansi_escape_codes (48)
See all safest Go →

Compare

Appdash Data vs github.com/libp2p/go-libp2p-autonat-svcAppdash Data vs github.com/therecipe/env_windows_amd64_513Appdash Data vs github.com/terraform-providers/terraform-provider-ignition

Safety Guide: Appdash Data

What is Appdash Data?

Appdash Data is a Go module — Go module: appdash-data.

How to Verify Safety

Run govulncheck. Review commit activity.

You can also check the trust score via API: GET /v1/preflight?target=sourcegraph.com/sourcegraph/appdash-data

Key Safety Concerns for Go module

When evaluating any Go module, watch for: dependency vulnerabilities, maintenance status.

Trust Assessment

Appdash Data has a Nerq Trust Score of 46/100 (D) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.

Key Takeaways

Frequently Asked Questions

Is Appdash Data Safe?
Exercise caution. sourcegraph.com/sourcegraph/appdash-data with a Nerq Trust Score of 46.2/100 (D). Strongest signal: security (90/100). Score based on Security (90/100), Popularity (0/100).
What is Appdash Data's trust score?
sourcegraph.com/sourcegraph/appdash-data: 46.2/100 (D). Score based on Security (90/100), Popularity (0/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=sourcegraph.com/sourcegraph/appdash-data
What are safer alternatives to Appdash Data?
In the Go Packages category, more Go modules are being analyzed — check back soon. sourcegraph.com/sourcegraph/appdash-data scores 46.2/100.
Does Appdash Data have known vulnerabilities?
Nerq checks Appdash Data against NVD, OSV.dev, and registry-specific vulnerability databases. Current security score: 90/100. Run your package manager's audit command for the latest findings.
Is Appdash Data actively maintained?
Appdash Data maintenance score: N/A. Check the repository for recent commit activity and issue responsiveness.
API: /v1/preflight Trust Badge API Docs

See Also

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.

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