Guardrails AI vs HeimdaLLM
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It is a robust static analysis framework for validating that LLM-generated structured output is safe. It currently supports SQL. | It is an open-source Python package for specifying structure and type, validating and correcting the outputs of large language models (LLMs). |
Validate LLM-generated output;
Makes sure that AI won't wreck your systems | 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 |
Statistics | |
GitHub Stars 113 | GitHub Stars 5.9K |
GitHub Forks 3 | GitHub Forks 471 |
Stacks 0 | Stacks 0 |
Followers 0 | Followers 0 |
Votes 0 | Votes 0 |
Integrations | |
| No integrations available | |
What are some alternatives to HeimdaLLM, Guardrails AI?
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.
