Best data analysis recommendations tools in 2025

NLSQL

Transforms natural language questions into SQL queries effortlessly.

ML

Framework for integrating machine learning into applications.

Datayaki

An AI-driven data analysis assistant for everyone.

Toggle

Engage with data using natural language for insightful analysis.

RTutor

Engaging data analysis through natural language queries.

AskCSV

Upload CSV files and ask questions to analyze data easily.

SciPy

Library for scientific computing with algorithms in Python.

Alphawatch

AI-driven insights for seamless enterprise data access and collaboration.

Intelยฎ 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.

Outlier Database

Easily analyze and visualize data trends and patterns.

Kensho Scribe Transcription

AI-driven transcription and data analysis for seamless workflows.

Shape

Query databases using plain English for quick insights.

Cleora.ai

Open-source framework for learning from diverse relational data.

Amazon Web Services AI

Cloud-based service for scalable machine learning model development.

xyzt.ai

Insight platform for visualizing and analyzing IoT data.

Daisho

No-code data insights generator for business users.

Amazon Athena

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

Analyst Intelligence

Powerful analytics for non-engineers to streamline data insights.

Cellie

Analyze data quickly without needing technical skills.

Simple ML

User-friendly machine learning integration for Google Sheets.

Hexo AI

Automated data transformation for efficient analysis and insights.

Deep Dive

Advanced analytics for strategic decision-making and data visualization.

Vizly

Transform complex data into clear insights in seconds.