Best model performance evaluation tools in 2025

Deformable Convolutional Network (DCN)

Flexible convolutional filters for enhanced image analysis accuracy.

IBM Watson Studio

Collaborative environment for building and managing AI models.

Teammate Lang

Easily build AI models and products with minimal technical skills.

SciPy

Library for scientific computing with algorithms in Python.

Caret

A comprehensive framework for predictive modeling in R.

Noah Insights

AI-driven feedback for assessing business ideas' viability.

DeepDetect

User-friendly interface for training deep learning models.

PyTorch

Framework for building dynamic neural networks and computations.

Megatron LM

Advanced framework for training large transformer models efficiently.

Albumentations

Image augmentation library for enhancing datasets in deep learning.

NeuroCraft

Create and deploy custom neural networks without coding.

Agents-Flex

Framework for integrating and managing large language models.

Tensorflow

Framework for building machine learning models across various domains.

TuneMyAI

Quickly finetune AI models for diverse applications.

Signal0ne

Automated root cause analysis for incident management.

Sentry

Real-time error tracking for developers to enhance software reliability.

Cleora.ai

Open-source framework for learning from diverse relational data.

ImageBind by Meta

Multimodal AI for linking images, audio, and text data.

Cambrean (Beta)

Centralized health data insights for effective personal management.

Wild Moose

Automates incident resolution for complex IT environments.

ChatDB

Quickly convert and edit various data formats online.

Avidnote

AI-driven research assistant for writing and data analysis.

Zipy Plug & Play

Record and analyze user sessions for effective debugging.

Raygun

Application performance monitoring and error tracking solution.

Stackify

Full lifecycle application performance monitoring for developers.