Best data analysis and modeling tools in 2025

Integrates machine learning directly into PostgreSQL databases.

A comprehensive framework for predictive modeling in R.

Interactive data analysis with AI-driven insights and visualizations.

Memory-efficient model for AI applications with quantized weights.

Dynamic framework for building deep learning models.

AI-driven assistant for seamless 3D modeling and creativity.

Evaluate the performance of large-scale language models.

Build and manage data pipelines efficiently with collaborative workflows.

Access millions of trusted experimental protocols for research.

Comprehensive platform for managing machine learning projects.

Integrated database management for real-time data applications.

Framework for building deep learning models efficiently.

Unified analytics for real-time data insights and collaboration.

Automate and validate data mapping effortlessly.

Visualize and analyze machine learning model behavior and predictions.

Transforms messy text into structured, machine-readable data.

Machine learning framework for .NET developers enabling advanced data analysis.

Real-time data processing for immediate insights and actions.

Streamlined data labeling for efficient AI training and management.

Cost-effective data lake solution for efficient analytics.

Real-time data processing framework for stateful applications.

Framework for building machine learning models across various domains.

Collaborative environment for training and scaling machine learning models.

Powerful AI integration for enhancing productivity in office applications.

Systematic tracking and visualization for machine learning experiments.