What is llamaindex-math-agent-huggingface?

56/100
Trust Score (D)
⚠️ Use Caution

llamaindex-math-agent-huggingface is a coding that A LlamaIndex agent for performing mathematical operations using Hugging Face models.. It has a Nerq Trust Score of 56/100 (D). 0 GitHub stars. Published by vaishujay. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

56
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS

What llamaindex-math-agent-huggingface Does

llamaindex-math-agent-huggingface is a agent in the coding category. A LlamaIndex agent for performing mathematical operations using Hugging Face models.. It is published by vaishujay and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use llamaindex-math-agent-huggingface

llamaindex-math-agent-huggingface is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

Authorvaishujay
Categorycoding
LicenseNot specified
Typeagent
SourceView on GitHub
Security Score0/100
Activity Score1/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=llamaindex-math-agent-huggingface

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

ToolTrustStars
AutoGPT65181.9K
ollama64163.0K
langchain77127.8K
system-prompts-and-models-of-ai-tools64115.3K
opencode78108.1K

Frequently Asked Questions

What is llamaindex-math-agent-huggingface used for?
llamaindex-math-agent-huggingface is a coding tool. A LlamaIndex agent for performing mathematical operations using Hugging Face models..
Is llamaindex-math-agent-huggingface free?
License: Check project page. llamaindex-math-agent-huggingface has 0 GitHub stars.
Is llamaindex-math-agent-huggingface safe?
llamaindex-math-agent-huggingface has a Nerq Trust Score of 56/100 (D). Use with caution.
What are alternatives to llamaindex-math-agent-huggingface?
Top alternatives: AutoGPT, ollama, langchain. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

We use cookies for analytics and caching. Privacy Policy