raccoon
Let Raccoon sample the unknown, safeguarding your AI's home. (by velocitatem)
promptmap
automatically tests prompt injection attacks on ChatGPT instances (by utkusen)
raccoon | promptmap | |
---|---|---|
1 | 1 | |
6 | 526 | |
- | - | |
4.7 | 6.2 | |
about 1 year ago | 6 months ago | |
Python | Python | |
MIT License | MIT License |
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.
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.
raccoon
Posts with mentions or reviews of raccoon.
We have used some of these posts to build our list of alternatives
and similar projects.
promptmap
Posts with mentions or reviews of promptmap.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing raccoon and promptmap you can also consider the following projects:
promptflow - Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Awesome-Prompt-Engineering - This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
tree-of-thoughts - Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
graph-of-thoughts - Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"