Best data processing frameworks tools in 2025

Auto-Keras

Build machine learning models without deep coding knowledge.

Liner.ai

Create machine learning models effortlessly without coding.

H2O AutoML

Automated machine learning for faster and easier model training.

Deepchecks Testing Package

Continuous validation for machine learning models and data quality.

Torch

A framework for scientific computing and machine learning.

Sagify

Effortlessly manage machine learning tasks and model deployment.

Google Deep Learning Containers

Pre-packaged environments for efficient machine learning model deployment.

SapientML

Generate accurate AI models quickly and effortlessly.

ctrl by Salesforce

Generate tailored text with flexible control over style and content.

Deformable Convolutional Network (DCN)

Flexible convolutional filters for enhanced image analysis accuracy.

A11YBoost

Website accessibility training and resources for developers and designers.

BabyAGI

Framework for developing self-sustaining AI agents.

Tensorflow

Framework for building machine learning models across various domains.

Grid.ai

Streamlined environment for machine learning model development.

DeepPavlov

Framework for creating intelligent conversational agents.

MLbox

Automated data preprocessing and model optimization for machine learning.

IdeaScore

Systematic evaluation framework for business ideas and proposals.

TuneMyAI

Quickly finetune AI models for diverse applications.

Obviously AI Data Validator

Validate your datasets for machine learning readiness.

PyCaret

A low-code library for building machine learning models effortlessly.

Atomic Fusion

Pre-made components and templates for quick app development.

Saturn Cloud

Collaborative environment for training and scaling machine learning models.

DeepDetect

User-friendly interface for training deep learning models.

MuJoCo

Dynamic simulation environment for realistic physics modeling.

Banana

Efficient GPU resource management for AI model deployment.