Best open-source tools in 2025

Exllama

Memory-efficient model for AI applications with quantized weights.

Google Natural Language API

Analyze text for insights and sentiment with advanced machine learning.

Ray

Framework for distributing machine learning workloads easily.

Giving GPT-3 a Turing Test

Advanced language model for generating human-like text responses.

Accord

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

AlphaDev - Google DeepMind

Advanced AI for discovering faster sorting algorithms.

LMNT Voiceover

Build interactive web applications from Python scripts effortlessly.

PyCaret

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

Kaggle Notebooks

Effortlessly explore and run machine learning projects.

Apple Machine Learning

Cutting-edge research to enhance machine learning techniques.

Dopamine

Framework for quick reinforcement learning algorithm prototyping.

RLLab

Framework for building and testing reinforcement learning algorithms.

Algoriz

Automated trading strategies for stocks and cryptocurrencies.

Gym Retro

Access a vast library of video games for AI learning experiments.

PyTorch

Framework for building dynamic neural networks and computations.

OmniInfer

Fast and reliable access to scalable AI model deployment.

Investfly

Automated trading strategies made accessible for all traders.

Caffee

Framework for building deep learning models efficiently.

MATLAB

Programming environment for numerical computing and data analysis.

Apache Mahout

Framework for scalable machine learning and data processing.

People for AI

Expertly labeled datasets for efficient AI project development.

NLTK

Comprehensive library for natural language processing tasks.

PseudoEditor

User-friendly interface for writing and testing pseudocode.

Perpetual ML

Accelerate machine learning with continuous model training and monitoring.