What is tiny-codes?

52/100
Trust Score (D)
⚠️ Use Caution

tiny-codes is a AI tool that Reasoning with Language and Code This synthetic dataset is a collection of 1.6 millions short and clear code snippets that can help LLM models learn how to reason with both natural and prog. It has a Nerq Trust Score of 52/100 (D). 285 GitHub stars. Published by Unknown. Last analyzed April 2026.

Why This Score

Trust & Safety Overview

52
TRUST SCORE
D
GRADE
285
STARS
0
DOWNLOADS

What tiny-codes Does

tiny-codes is a dataset in the AI tool category. Reasoning with Language and Code This synthetic dataset is a collection of 1.6 millions short and clear code snippets that can help LLM models learn how to reason with both natural and programming languages. The dataset covers a wide range of programming languages, such as Python, TypeScr. It is published by an independent developer and has no specified license. With 285 GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use tiny-codes

tiny-codes is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorUnknown
CategoryAI tool
LicenseNot specified
Typedataset
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=nampdn-ai-tiny-codes

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

Safer Alternatives

ToolTrustStars
openclaw84218.2K
tensorflow72193.9K
AutoGPT75181.9K
n8n78177.3K
ollama74163.0K

Frequently Asked Questions

What is tiny-codes used for?
tiny-codes is a AI tool tool. Reasoning with Language and Code This synthetic dataset is a collection of 1.6 millions short and clear code snippets that can help LLM models learn how to reason with both natural and prog.
Is tiny-codes free?
License: Check project page. tiny-codes has 285 GitHub stars.
Is tiny-codes safe?
tiny-codes has a Nerq Trust Score of 52/100 (D). Use with caution.
What are alternatives to tiny-codes?
Top alternatives: openclaw, tensorflow, AutoGPT. See full comparison.

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

We use cookies for analytics and caching. Privacy Policy