Top 20 products relevant to Data Science Tools

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Open Source

OpenCV is the world's biggest computer vision library.

Open Source

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Open Source

RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Open Source

NumPy is the fundamental package for scientific computing with Python.

Open Source

Open source deep learning platform that provides a seamless path from research prototyping to...

Open Source

An all-in-one data transformation platform for exploring, preparing, visualizing, monitoring, and cataloging Snowflake insights.

paid Free Trial $100.0 / Monthly (For individual contributors or teams of one)

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

Open Source

WEKA is a set of powerful data mining tools that run on Java.

Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.

MLKit is a simple machine learning framework written in Swift.

Open Source

DataScience combines human intellect with machine-powered analysis to create actionable insights from complex data.

Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.

Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Turn your Mac into a Bluetooth speaker.

htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.

Figure Eight is the essential Human-in-the-Loop Machine Learning platform.