| What it does | Open-source AI security verification
| Unified performance test orchestration platform for distributed JMeter execution, synchronized workflows, and real-time performance insights
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| Stage | Not given
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| Based in | Not given
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| Pricing model | Open source
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| Key features | - Scan model and code artifacts offline
- Probe and monitor live endpoints
- Grade recorded application runs
- Diff and compare security runs
- 58 security rules across build and runtime
- Python API for integration
- Custom rule creation with YAML or Python
- Cost estimation before probing
- Optional self-hosted collector
| - Run distributed JMeter tests from a unified control plane
- Coordinate load tests and UI automation workflows in parallel
- Geo-distributed load testing across multiple regions
- APM integrations for server-side monitoring
- Correlation of load activity with user experience impact
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| What makes it different | - Fully offline artifact scanning with no telemetry or account required
- Unverified results never marked as clean; handles uncertainty explicitly
- Works with multiple model APIs and MCP servers regardless of model
- Re-grade recorded runs without rerunning the application
| - Eliminates setup delays and infrastructure complexity with centralized orchestration
- Synchronized execution of load tests and UI flows to observe real user behavior at peak traffic
- Proactive performance intelligence to prevent issues before they escalate
- Unified platform combining control, visibility, and intelligence in a single system
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | 20 ● no change since last check |
| Trust Flow (Majestic) | 2 | 3 |
| Citation Flow (Majestic) | 21 | 21 |
| Referring domains (Majestic) | 22 | 78 |