vigil-llm vs mlflow
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| vigil-llm | mlflow | |
|---|---|---|
| Tagline | ⚡ Security scanner for LLM prompts ⚡ | The open source AI engineering platform for agents, LLMs, and ML models |
| Stars | 486 | 27k |
| Forks | 55 | 6.0k |
| Open issues | 16 | 2.0k |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jan 31, 2024 | Jul 7, 2026 |
| Categories | Evaluation & Observability | Evaluation & Observability, LLM Frameworks |
vigil-llm
Vigil is a Python library and REST API designed to assess Large Language Model (LLM) inputs, detecting injections, jailbreaks, and other security threats. It includes modular scanners with the ability to extend via custom signatures and supports various detection methods including vector databases, heuristics, transformer models, canary tokens, and sentiment analysis.
mlflow
MLflow is an open-source platform designed to help teams manage the lifecycle of both traditional machine learning (ML) and large language model (LLM) applications. It supports debugging, evaluation, monitoring, optimization of AI applications while managing costs and securing data access.