LLM Guard
5.9#15 in llm security toolsFree planFree planAPILinuxSelf-hosted
VisitLLM Guard vs NVIDIA NeMo Guardrails
NVIDIA NeMo Guardrails
7.4#4 in llm security toolsFree planFree planAPILinuxmacOSSelf-hosted
VisitWhat both publish
| Fact | LLM Guard | NVIDIA NeMo Guardrails |
|---|---|---|
| Installation | The project documents installation with `pip install llm-guard` and requires Python 3.9 or higher. | The documented installation command is pip install nemoguardrails, with source installation available from GitHub. |
| Integrations | The documentation includes integrations and examples for the OpenAI SDK, LangChain, LiteLLM, and LlamaIndex. | The documentation lists integrations with NVIDIA safety models, community models, third-party APIs, Python actions, and LangChain tools. |
| Intended users | The project describes production deployment and offers tutorials for developers building LLM applications, including guarded RAG and agent workflows. | The library is presented for developers and teams building LLM applications who need configurable policy enforcement and safety checks. |
| License | The GitHub repository lists the project under the MIT License. | The NeMo Guardrails library is licensed under the Apache License 2.0. |
| Purpose | LLM Guard is a security toolkit for LLM interactions that sanitizes inputs, detects harmful language, helps prevent data leakage, and resists prompt injection attacks. | NeMo Guardrails is an open-source Python package for adding programmable guardrails to LLM-based applications. |
LLM Guard plans
- LLM GuardFree
NVIDIA NeMo Guardrails plans
- Open-source NeMo Guardrails libraryFree
- NeMo Guardrails microservicePriced on request
Pick LLM Guard if…
You want what its maker publishes above — check its page for the details.
Pick NVIDIA NeMo Guardrails if…
NeMo Guardrails suits developers and teams building LLM applications that need configurable policy enforcement and safety checks. It is relevant to projects using Python, supported frameworks, or a self-managed deployment.