llm-guard VS vibraniumdome

Compare llm-guard vs vibraniumdome and see what are their differences.

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llm-guard vibraniumdome
2 1
870 41
10.1% -
9.7 9.3
7 days ago about 2 months ago
Python Python
MIT License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

llm-guard

Posts with mentions or reviews of llm-guard. We have used some of these posts to build our list of alternatives and similar projects.

vibraniumdome

Posts with mentions or reviews of vibraniumdome. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing llm-guard and vibraniumdome you can also consider the following projects:

Wazuh-ChatGPT-integration - A configuration to allow Wazuh to communicate with ChatGPT, based on https://loggar.hashnode.dev/augmenting-wazuh-with-chatgpt-integration

llm-workflow-engine - Power CLI and Workflow manager for LLMs (core package)

tonic_validate - Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.

aegis - Self-hardening firewall for large language models

graph-of-thoughts - Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"

AgentBench - A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

funcchain - ⛓️ build cognitive systems, pythonic

langroid - Harness LLMs with Multi-Agent Programming

AdaKGC - [EMNLP 2023 (Findings)] Schema-adaptable Knowledge Graph Construction

llmflows - LLMFlows - Simple, Explicit and Transparent LLM Apps

llm-prompt-testing - Prompt Testing framework for LLMs (specifically OpenAI models). Compute NLP and Responsible AI metrics for each model-generated answer.