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25
/100
F ◎ Verified 55

Great Expectations Data Quality Server

Expose Great Expectations data-quality checks as callable tools for LLM agents. Load datasets, define validation rules, and run data quality checks programmatically to integrate robust data validation into automated workflows. Support multiple data sources, authentication methods, and transport modes for flexible deployment.

by davidf9999 ★ 4 Last commit: 4 months, 1 week ago
Exfiltration Risk
Verified visibility — 5/5 applicable dimensions scored
✓ Schema Quality ✓ Protocol ✓ Reliability ✓ Docs & Maintenance ✓ Security Hygiene — Schema Interpretability
Schema Quality
60
42% weight
Protocol Compliance
N/A
Local server
Reliability
N/A
Local server
Docs & Maintenance
74
25% weight
Security Hygiene
78
33% weight
30-Day Trend

Score History

Category Trends

Latest Health Check

Down
Status
0ms
Connect
0.0%
7-day Uptime
Checked 1 month ago

Static Analysis

Metric Score Rating
Schema Completeness 40 Fair
Description Quality 90 Good
Documentation Coverage 78 Good
Maintenance Pulse 66 Fair
Dependency Health 50 Fair
License Clarity 100 Good
Version Hygiene 90 Good
Analyzed 1 month ago

Protocol Compliance

Schema Valid
Probed 1 month ago
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