Upload a spreadsheet or connect a database, and ATARS cleans it, lets you query it in SQL, charts it, runs the statistics, trains and explains machine-learning models, forecasts ahead, and writes the finished report — as a private desktop app on your own computer. No code, no setup, no cloud.
Installs like any desktop app · runs fully offline · your data never leaves your computer
// Built by a student. Designed for every learner.
Most people get stuck between a messy spreadsheet and a meaningful answer. ATARS closes that gap with intelligent automation, so domain experts don't need to be data scientists.
Install once and go. Cleaning, SQL, charts, statistics, modelling, forecasting and reporting — a guided workflow in a real desktop app, no Python, no servers.
ATARS reads your dataset, infers the problem type, recommends a workflow, and suggests the right charts and models automatically.
ATARS runs fully on your own computer — files are processed locally and never uploaded anywhere. AI calls happen only if you add your own key, straight to your chosen provider.
Healthcare, climate, finance, agriculture, retail, research — any structured tabular dataset, any domain.
Export polished PDF, Word, PowerPoint, Excel and Markdown reports — plus a runnable Jupyter notebook — in one click.
Built by a student to be genuinely affordable and accessible for every learner, researcher and small team.
The tools you'd normally need a database, a notebook and a BI seat for — all built in, no servers to wire up.
Query your data in full SQL — joins, windows, CTEs — powered by DuckDB. Connected to a live database? Push heavy SQL to the database itself, so tables far bigger than memory still aggregate in seconds.
Cohort & retention heatmaps, RFM customer segments, and time-series decomposition — one click each. None of these exist as buttons in Excel.
Stack or join several files, then compare every branch side by side — with real significance tests (ANOVA, Kruskal-Wallis, pairwise t-tests) to tell signal from noise.
Named after the ancient Indian mathematician. It reads your whole dataset — every column's stats, correlations and range — so answers reflect all your data, not a sample. And every figure it writes is checked against the numbers ATARS actually computed, with a visible grounding score. No hallucinated statistics.
Ask about live trends, prices or regulations and Aryabhata searches the web in real time — answering with insights and source links as proof, ready to fold into your report.
Save your whole setup — cleaning rules, validation checks and pinned charts — as a recipe file. Next month's file arrives, load the recipe, and the same analysis rebuilds in one click.
Production modules under one roof — each one designed to remove a step that normally needs a specialist.
Preview, profile and edit in real time. Multi-sheet Excel? Pick a sheet or combine them all. Report-title junk above the table? The real header row is detected automatically.
Infers the target, features, dates and problem type on load, then recommends the workflow and models to run.
A readiness score from completeness, consistency, duplication, outliers and balance — plus leakage & bias flags.
Fixes real-world mess: currency & crore/lakh numbers, European decimals, duplicate category spellings ("Male"/"male"/"MALE" → one), missing values, outliers — every step logged in an audit trail.
Generate date, lag, rolling-window and interaction features to strengthen every model and forecast.
15 interactive chart types with slicers and pinnable dashboards — plus optional AI chart suggestions.
t-test, z-test, ANOVA, chi-square, normality, correlation, non-parametric tests and assumption diagnostics.
Trend & seasonal forecasts with confidence bands and a holdout backtest, so you can trust the numbers.
Compare a reference dataset against today's to catch distribution shift before it breaks your models.
ATARS organises every dataset into a natural left-to-right flow — Understand, Prepare, Explore, Model, Report. Stop, branch or export at any step.
Load any file or database; ATARS auto-detects structure and problem type.
Score data quality, then catch missing data, duplicates and outliers.
Clean, combine files, engineer features, or reshape with SQL.
Charts, dashboards, statistical tests and business analytics.
AutoML ranks a leaderboard; train, validate and cross-validate.
SHAP global & local explanations and driver analysis.
What-if predictions, sensitivity and root-cause analysis.
Export a narrated PDF / Word / PPT / Excel / notebook.
Drop two or more files to combine them — stack rows or join on a key.
Full tables load with no silent row caps — what you connect is what you analyse.
Train, compare and trust your models — with the reasoning made visible.
Trains multiple models and ranks a leaderboard so the best one is chosen for you — with leakage-safe cross-validation, a live training progress bar, and a Fast / Full-accuracy switch to trade speed for precision on big data.
Regression, classification and clustering with train / validate / cross-validate, a performance view, and single & batch prediction.
Global & local explanations, feature importance and contribution, and per-prediction breakdowns — see why, not just what.
Trend, seasonal and growth forecasts with confidence intervals and a holdout backtest for any time-indexed series.
What-if predictions, sensitivity testing and root-cause analysis — change a variable and see the impact instantly.
Compare datasets or branches with real hypothesis tests — ANOVA, Kruskal-Wallis and pairwise t-tests — to know a difference is real.
ATARS doesn't stop at a chart on a screen. Generate a complete, narrated analysis — your charts, stats, model results and audit trail — as a document, ready for a class submission, a research appendix or a leadership review. Add your own AI key and every export gains an executive narrative, interpretation, risk callouts and recommendations — plus an AI verification section showing how many of the narrative's figures were checked against your computed data, and an optional web research appendix with cited sources.
Honest examples of what ATARS does end-to-end — bring your own data and follow the same path.
Run descriptive stats, normality and significance tests on your study data, then export a clean statistical appendix you can attach to a thesis.
CSV → Statistics → PDF
Load historical sales, let ATARS detect seasonality and trend, and produce a forward forecast with confidence bands for a planning review.
XLSX → Forecasting → PPTX
Connect your orders table, query it in SQL, then build RFM segments and retention cohorts to see who to keep and who's churning.
SQL → RFM & cohorts → Excel
Open, proven Python data tools — compiled into a native desktop app (machine code), so nothing needs installing separately and nothing is locked behind a vendor.
A real desktop app. Install once, analyse forever — fully offline, on your own machine. Your data physically never leaves your computer.
Windows 10 / 11 · 64-bit · ~277 MB download
Run the installer, accept the license, and launch ATARS from your Start menu. Needs ~850 MB free disk space.
x64 · .tar.gz with a one-line installer
ATARS.app — drag into Applications
B.Tech Computer Science · Gurugram University (2024–2028)
ATARS started as a question: why should advanced analytics need a data-science degree? It's now a universal platform on a mission to make rigorous, explainable data work available to students, researchers and small teams everywhere — proudly built in India.
Download ATARS, install it in a minute, and run a full analysis on your own computer — free, private, no sign-up.