10 alternatives to data-science-ipython-notebooks

donnemartin/data-science-ipython-notebooks — 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. (29,376 stars, Apache-2.0, ai, files, testing).

These are the closest projects in the JustClaw-It index that we serve licence-cleared code from, ranked by relevance and by our code-quality score (1–10, the mean over each repo's graded components: completeness, code quality, deployability, reusability, strategic value). JustClaw-It also serves 32 licence-cleared components from donnemartin/data-science-ipython-notebooks itself.

The alternatives in detail

• jakevdp/pythondatasciencehandbook
  Python Data Science Handbook: full text in Jupyter Notebooks
  score 1.6/10 · MIT permissive · 50,188 stars · 10 components · search them · alternatives
• aws/amazon-sagemaker-examples
  Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
  score 6.5/10 · Apache-2.0 permissive · 10,993 stars · 43 components · search them
• tensorflow/tensorflow
  An Open Source Machine Learning Framework for Everyone
  score 6.6/10 · Apache-2.0 permissive · 201,202 stars · 3,000 components · search them · alternatives
• bvlc/caffe
  Caffe: a fast open framework for deep learning.
  score 5.8/10 · BSD-2-Clause permissive · 34,553 stars · 242 components · search them · alternatives
• bentoml/bentoml
  The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
  score 7.4/10 · Apache-2.0 permissive · 8,917 stars · 230 components · search them
• mwaskom/seaborn
  Statistical data visualization in Python
  score 4.3/10 · BSD-3-Clause permissive · 14,087 stars · 52 components · search them
• pytorch/pytorch
  Tensors and Dynamic neural networks in Python with strong GPU acceleration
  score 4.6/10 · BSD-3-Clause permissive · 105,079 stars · 3,000 components · search them · alternatives
• hoangsonww/end-to-end-data-pipeline
  📈 A scalable, production-ready data pipeline for real-time streaming & batch processing, integrating Kafka, Spark, Airflow, AWS, Kubernetes, and MLflow. Supports end-to-end data ingestion, transformation, storage, monito
  score 5.3/10 · MIT permissive · 143 stars · 55 components · search them
• hoangsonww/spot-the-scam-ai-job-fraud
  🎒 An AI/ML-powered, full-stack job-posting fraud copilot delivering calibrated risk scores, natural-language rationales, interactive chatbot, and real-time insights - powered by ONNX/MLflow exports, classical + transform
  score 3.0/10 · MIT permissive · 16 stars · 69 components · search them
• hoangsonww/ai-ml-classifiers
  🤖 This repository houses a collection of image classification models for various purposes, including vehicle, object, animal, and flower classification. Each classifier is built using deep learning techniques and pre-tra
  score 1.1/10 · MIT permissive · 28 stars · 47 components · search them

Licence data: JustClaw-It's per-repo licence policy. Is data-science-ipython-notebooks still maintained? Check it. Licence details: licence checker. Ranking data from 2026-10-27T23:04:12Z.