Best data analysis reviews tools in 2025

Intel® Distribution For Python

Powerful Python distribution for enhanced performance in computing.

Torch

A framework for scientific computing and machine learning.

Wolfram Mathematica

Advanced environment for mathematical computing and data visualization.

SciPy

Library for scientific computing with algorithms in Python.

Outlier Database

Easily analyze and visualize data trends and patterns.

Shape

Query databases using plain English for quick insights.

NLSQL

Transforms natural language questions into SQL queries effortlessly.

Toggle

Engage with data using natural language for insightful analysis.

Amazon Athena

Analyze data stored in S3 using SQL queries quickly and easily.

RTutor

Engaging data analysis through natural language queries.

AskCSV

Upload CSV files and ask questions to analyze data easily.

Analyst Intelligence

Powerful analytics for non-engineers to streamline data insights.

STAT.AI

Effortlessly translate and generate Stata code across languages.

Scikit Learn

Accessible library for predictive data analysis and machine learning.

Kensho Scribe Transcription

AI-driven transcription and data analysis for seamless workflows.

ML

Framework for integrating machine learning into applications.

NeoAnalyst

User-friendly data analysis for immediate insights.

Markforged

Create high-quality parts quickly with advanced 3D printing.

Siml.ai

High-performance software for fast physics simulations using AI.

Calculator Air

AI-powered math solver for all skill levels.

Jupyter

Create and share interactive documents for data and code.

Census GPT

Access city and neighborhood data with ease.

MATLAB

Programming environment for numerical computing and data analysis.

Desmos

Interactive math learning and visualization resource for students and teachers.