Changelog
ATARS 5.3
July 2026
LATEST
The newest release — quality-of-life and intelligence upgrades across the app.
- Faster AutoML — a rebuilt engine with a Fast / Full-accuracy switch: Fast ranks models on a sample for a quick answer, Full trains on every row for maximum precision.
- Live AutoML progress — a real progress bar and per-model checklist show what's done, what's training, and what's left.
- Whole-dataset AI — Aryabhata now understands your entire dataset (per-column stats, correlations, first & last rows), so it answers questions about all your data, not just a sample.
- OpenRouter support — added as an AI provider, alongside OpenAI, Groq, Gemini, xAI, Mistral, Anthropic-compatible and local Ollama.
- Better filtering & charts — the global categorical filter now shows searchable, selectable values on large columns, and distribution charts have cleaner percentage labels.
- Self-scrolling AI chat — long conversations scroll inside the chat panel instead of stretching the page.
ATARS — current platform
2026
FULL PLATFORM
ATARS began in February 2026 and has grown into the complete, no-code analytics platform you use today. Everything below is available right now.
- Guided workflow — Understand → Prepare → Explore → Model → Report, from a raw file to a finished document.
- Any source — CSV, Excel, JSON, Parquet, Feather, Pickle and TSV files, plus SQLite, MySQL, PostgreSQL, Redshift, Snowflake and BigQuery; combine multiple files by stacking or joining.
- SQL Lab — full SQL (joins, window functions, CTEs) on your data, powered by DuckDB.
- Cleaning & quality — automatic cleaning, a data-quality auditor and anomaly detection, all recorded in an audit trail.
- Charts & dashboards — 15 interactive chart types with slicers and pinnable dashboards, plus AI chart suggestions.
- Statistics & business analytics — t/z-tests, ANOVA, chi-square, correlation and non-parametric tests; cohort & retention, RFM segments and time-series decomposition.
- Machine learning — AutoML leaderboard, regression / classification / clustering, leakage-safe cross-validation, and single & batch prediction.
- Explainable AI — SHAP global & local explanations and driver analysis — see why, not just what.
- Forecasting & simulation — trend & seasonal forecasts with confidence bands, a what-if scenario simulator, and drift monitoring.
- Reports — one-click PDF, Word, PowerPoint, Excel and Markdown, plus a runnable Jupyter notebook, with optional AI narrative.
Want a feature added? Tell us on the contact page — early feedback drives the roadmap.