Magika vs Waxell
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It leverages the power of cutting-edge deep learning to enhance the world of file type detection. It provides increased accuracy and support for a comprehensive range of content types, outperforming traditional tools with 99%+ average precision and recall. | Waxell is the AI governance plane for agentic systems in production. It sits above agents, models, and integrations, enforcing constraints and defining what's allowed. Auto-instrumentation for 200+ libraries without code changes. Real-time tracing, token and cost tracking, and 11 categories of agentic governance policy enforcement. |
Available as a Python command line, a Python API, and an experimental TFJS version;
Trained on a dataset of over 25M files across more than 100 content types;
Achieves 99%+ average precision and recall, outperforming existing approaches;
After the model is loaded (this is a one-off overhead), the inference time is about 5ms per file | AI Agent Observability, AI Governance, Real-time Tracing, Token & Cost Tracking, Policy Enforcement, Auto-instrumentation, LLM Monitoring, PII Detection & Redaction, Anomaly Detection, OpenTelemetry Export, Model-agnostic, MCP Support |
Statistics | |
GitHub Stars 8.9K | GitHub Stars - |
GitHub Forks 454 | GitHub Forks - |
Stacks 0 | Stacks 0 |
Followers 2 | Followers 2 |
Votes 0 | Votes 2 |
Integrations | |
| No integrations available | |
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