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.

Key Pandas features:

Data Wrangling Flexible Data Structures Integration with Other Libraries Performance with Data Size

Open Source

Clear, Fast & Unlimited. Residential & Mobile Proxies For Best Price.

Key ASocks features:

HTTP Socks5 ASN targeting Pay as you go

Try for free paid Free Trial $3.0 (3$ per 1 Gb)

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

Key Scikit-learn features:

Ease of Use Extensive Documentation and Community Support Integration with Other Libraries Variety of Algorithms

Open Source

NumPy is the fundamental package for scientific computing with Python.

Key NumPy features:

Performance Versatility Ease of Use Community Support

Open Source

OpenCV is the world's biggest computer vision library.

Key OpenCV features:

Comprehensive Library Cross-Platform Compatibility Open Source Large Community Support

Open Source

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

Key Dataiku features:

User-Friendly Interface Collaborative Environment End-to-End Workflow Integrations and Extensibility

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.

Key htm.java features:

Biologically Inspired Algorithms Time Series Prediction Open Source Java Ecosystem Integration

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

Key Exploratory features:

User-friendly Interface Integration with R Rich Visualization Options Collaborative Features

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

Key WEKA features:

User-Friendly Interface Wide Range of Algorithms Open Source Extensive Documentation

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

Key Figure Eight features:

Scalability Diverse Workforce Workflow Customization Integration Capabilities

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

Key Turi GraphLab Create features:

Ease of Use Scalability Integrated Toolset Graph Processing Capabilities

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

Key Logical Glue features:

Interpretability User-Friendly Interface Automated Machine Learning Regulatory Compliance

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

Key RapidMiner features:

Ease of Use Integration Capabilities Comprehensive Feature Set Community and Support

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

Key DimML features:

Ease of Use Scalability Integration Customization