MLJAR, Inc. analyzed 789 unplanned GitHub incidents reported between March 2022 and September 2026.

MLJAR-supervised is a modern, human-first AutoML framework designed to automate the entire machine-learning workflow. It handles data preprocessing, model selection, hyperparameter tuning, evaluation, and reporting — all with full transparency and reproducibility. You upload your dataset → choose the target → and MLJAR-supervised finds the best model and documents every step. Clear. Explainable. No black box. MLJAR Studio is a complete desktop environment for data analysis and machine learning — built to help everyone work faster and more efficiently. It combines Python, no-code tools, AutoML, visualizations, reporting, and “piece of code” blocks in one clean interface. No library installation. No environment headaches. Perfect for beginners — powerful for professionals. MERCURY is the easiest way to turn any Python notebook into an interactive report, dashboard, or web app. Add widgets → publish with MERCURY CLOUD → your users get a fully interactive experience without touching code. Ideal for researchers, analysts, educators, and consultants. We build tools that let you focus on insights — not infrastructure.