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Modela

Freemium
Modela screenshot
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About

Modela is a Kubernetes-native, no-code machine learning platform designed to automate the process of training, deploying, and scaling ML models. It extends Kubernetes with custom resources to automate each step of the ML process declaratively. It supports data ingestion from various sources, data validation, and analysis. Modela automates model training with AutoML, allowing parallel training across a Kubernetes cluster. It offers model evaluation and automation features like CI/CD pipelines for retraining models. Models can be deployed as microservices on Kubernetes, with features like canary deployments and drift detection. Key features include Kubernetes native integration, a no-code approach, AutoML, MLOps capabilities, security, and collaboration tools.

Platform
Web
Task
model training

Features

mlops

automl

no code

built for collaboration

security and control

kubernetes native

Pricing Plans

Premium
$59.00 / /mo

Data Products: Up to 5 products

Data Preparation: Yes

Data Visualization: Yes

Data Validation: Yes

Data Reporting: Yes

Binary Classification: Yes

Multi Classification: Yes

Regression: Yes

Forecasting: Yes

Hyper Parameters Search: Yes Machine Learning PipelinesYes # Parallel Trainers Up to 5 trainers Inference Automatic DeploymentYes Automatic ScalingYes Model MonitoringYes Support Chat SuportYes 24x7 SupportYes On-call ConsultationNo

Full-Service
Unknown Price

Data Products: Unlimited products

Data Preparation: Yes

Data Visualization: Yes

Data Validation: Yes

Data Reporting: Yes

Binary Classification: Yes

Multi Classification: Yes

Regression: Yes

Forecasting: Yes

Hyper Parameters Search: Yes Machine Learning PipelinesYes # Parallel Trainers Unlimited trainers Inference Automatic DeploymentYes Automatic ScalingYes Model MonitoringYes Support Chat SuportYes 24x7 SupportYes On-call ConsultationYes

Self-Service
Free Plan

Data Products: Up to 1 product

Data Preparation: Yes

Data Visualization: Yes

Data Validation: Yes

Data Reporting: Yes

Binary Classification: Yes

Multi Classification: Yes

Regression: Yes

Hyper Parameters Search: Yes

Machine Learning Pipelines: Yes # Parallel Trainers Up to 1 trainer Inference Automatic DeploymentYes Automatic ScalingYes Model MonitoringYes Support Chat SuportYes 24x7 SupportNo On-call ConsultationNo

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