BigML vs MLJAR

BigML

Description: BigML is a machine learning platform that allows users to build and deploy machine learning models without coding. It has an intuitive visual interface for data exploration, preprocessing, model building, evaluation, and deployment. BigML makes machine learning accessible to non-technical users.

Type: software

MLJAR

Description: MLJAR is an open-source machine learning platform for automated machine learning. It allows users without coding skills to easily build and deploy machine learning models.

Type: software

Pricing: Open Source

BigML Features

• Visual interface for building ML models
• Support for classification, regression, clustering, anomaly detection, association discovery
• Handles data preprocessing and feature engineering
• Model evaluation, comparison and optimization
• Model deployment and monitoring
• Collaboration features like sharing and team workflows
• Integrates with programming languages like Python, Node.js, Java, etc
• Can source data from files, databases, cloud storage, etc
• Has free tier for trying out the platform

MLJAR Features

• Automated machine learning
• Intuitive graphical user interface
• Support for classification, regression and time series forecasting
• Integration with popular data science frameworks like scikit-learn, XGBoost, LightGBM
• Model explanation and analysis tools
• Model deployment to production

BigML

• Not listed

MLJAR

• Open Source