CVETodo vs Guardrails AI
Overview
Share your Stack
Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.
CLI (Node.js)
Manual
Detailed Comparison
It is an open-source Python package for specifying structure and type, validating and correcting the outputs of large language models (LLMs). | CVETodo is a New Zealand-based security vulnerability tracking service, founded in Tauranga with the mission to make security management simpler and more efficient for IT professionals worldwide. We provide real-time CVE monitoring, trending insights, and comprehensive vulnerability intelligence to help organizations stay ahead of security threats. |
Enforces structure and type guarantees;
Validate and correct the outputs of large language models (LLMs);
Takes corrective actions (e.g. reasking LLM) when validation fails | All CVEs, 2025 CVEs, 2024 CVEs, 2023 CVEs, The Complete Guide to CVE Alerts and Vulnerability Notifications |
Statistics | |
GitHub Stars 5.9K | GitHub Stars - |
GitHub Forks 471 | GitHub Forks - |
Stacks 0 | Stacks 0 |
Followers 0 | Followers 1 |
Votes 0 | Votes 1 |
Integrations | |
| No integrations available | |
What are some alternatives to Guardrails AI, CVETodo?
HeimdaLLM
It is a robust static analysis framework for validating that LLM-generated structured output is safe. It currently supports SQL.
Rebuff
It is a self-hardening prompt injection detector. It is designed to protect AI applications from prompt injection (PI) attacks through a multi-stage defense.
LLM Guard
It is a comprehensive tool designed to fortify the security of Large Language Models (LLMs). By offering sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks, it ensures that your interactions with LLMs remain safe and secure.
LangKit
It is an open-source toolkit for monitoring Large Language Models (LLMs). It extracts signals from prompts & responses, ensuring safety & security.
