What is data-science-ipython-notebooks?

data-science-ipython-notebooks is a AI tool that Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AW. It has a Nerq Trust Score of 58/100 (D). 28.9K GitHub stars. Published by Unknown. Last analyzed September 2026.

Why This Score

• ⚠️ Security: 0/100 — Some security concerns
• ⚠️ Maintenance: 0/100 — Maintenance activity is low
• ✅ Community: 28.9K stars, 0 downloads — Large community
• ⚠️ Transparency: License: Not specified — No license specified

Trust & Safety Overview

What data-science-ipython-notebooks Does

data-science-ipython-notebooks is a tool in the AI tool category. Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.. It is published by an independent developer and has no specified license. With 28.9K GitHub stars and 0 downloads, it has a large and active community of users and contributors.

Who Should Use data-science-ipython-notebooks

data-science-ipython-notebooks is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=donnemartin-data-science-ipython-notebooks

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

Safer Alternatives

Frequently Asked Questions

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