Best Data Science Tools in 2025

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

Open Source

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

Open Source

NumPy is the fundamental package for scientific computing with Python

Open Source

OpenCV is the world's biggest computer vision library

Open Source

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

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

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.

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

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

GraphLab Create is an extensible machine learning framework that enables developers and data scientists to easily build and deploy apps.

Logical Glue helps Lenders and Insurance organisations make better decisions with a highly intuitive and user-friendly Machine Learning Platform.

The DimML programming language enables users to run any data solution on any website with only a single line of code.

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