Best tools to monitor model performance in 2025

Censius

Monitor machine learning models with real-time insights and analysis.

SAP HANA Cloud

Integrated database management for real-time data applications.

Databricks

Unified analytics for real-time data insights and collaboration.

Lume

Automate and validate data mapping effortlessly.

Ploomber Cloud

Build and manage data pipelines efficiently with collaborative workflows.

Isomeric

Transforms messy text into structured, machine-readable data.

Accord

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

Amazon Kinesis

Real-time data processing for immediate insights and actions.

Ocular AI

Streamlined data labeling for efficient AI training and management.

Qubole

Cost-effective data lake solution for efficient analytics.

Apache Samza

Real-time data processing framework for stateful applications.

Caret

A comprehensive framework for predictive modeling in R.

Saturn Cloud

Collaborative environment for training and scaling machine learning models.

Continual Diffusion

Image generation that learns and adapts to new concepts.

Caffee

Framework for building deep learning models efficiently.

Qualcomm AI Hub

Deploy AI models efficiently on various devices.

Cols.ai

Custom AI models tailored for unique business data needs.

CLIPSeg

Image segmentation using text or image prompts with minimal setup.

Facebook AI

Open-source AI models for customizable communication solutions.

Liner.ai

Create machine learning models effortlessly without coding.

StableLM

Open-source language models for text and code generation.

Together AI

Cloud-based AI model development with NVIDIA GPU power.

Subscription + from $1.30/h
open
X.ai API

Advanced AI for text and image analysis, boosting productivity.

Paid + from $2.00/million tokens
open
nanoGPT

An accessible repository for training and fine-tuning GPT models.

Ray

Framework for distributing machine learning workloads easily.