Best data science workflows tools in 2025

Kaggle Notebooks

Effortlessly explore and run machine learning projects.

STAT.AI

Effortlessly translate and generate Stata code across languages.

Outlier Database

Easily analyze and visualize data trends and patterns.

Cleora.ai

Open-source framework for learning from diverse relational data.

Datachain

Efficient data management and enrichment for organizations.

IBM Watson Natural Language Processing

Advanced data processing and analysis technology for businesses.

jynnt

Organize and access 100+ AI models for various tasks.

Apache Hadoop

Framework for processing large datasets across multiple computers.

Stack AI

User-friendly platform for creating AI agents without coding.

AI Query

Generate SQL queries quickly using simple English descriptions.

Datayaki

An AI-driven data analysis assistant for everyone.

Knime

Visual data analytics and workflow automation for all users.

AnythingLLM

User-friendly interface for leveraging large language models.

Julius

Interact with data for fast insights and analysis.

AI-Flow

Create custom AI workflows with a simple interface.

Page Assist

Integrate local AI models directly while browsing.

AskCSV

Upload CSV files and ask questions to analyze data easily.

Mito AI

Automates spreadsheet creation and generates Python code seamlessly.

Snowflake Cortex

Generative AI integration for fast application development and insights.

Telnyx Flow

Create workflows effortlessly with a low-code AI integration system.

SciPy

Library for scientific computing with algorithms in Python.

Quills.ai

Chat with your data for quick analysis and insights.

Azure Machine Learning Services

Comprehensive platform for managing machine learning projects.

MLJAR

Interactive coding environment for data science and machine learning.

ThinkEvolve

Expert data analysis and insights for businesses without full-time hires.