Data Scientific vs Abacus
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Data Scientific
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Science of Data is a mobile companion to two graduate-level books by Jean Claude Lemoyne Zabaloff — "The Science of Data" and "Data Science Project" — paired with an AI-powered ML Code Generator that produces complete, runnable scripts in Python, R, or MATLAB for any machine learning task you describe. 13 CHAPTERS What is AI? · Foundations · Supervised Learning · Unsupervised Learning · Reinforcement Learning · Deep Learning · Bayesian Inference · Support Vector Machines · Data Science · Knowledge · DS Process · Key Concepts 5 APPENDICES A — Python | B — R | C — MATLAB / Octave / Scilab D — Optimization | E — Public Data Sources ML CODE GENERATOR Describe any ML task or pick from 23 built-in templates and receive a complete, runnable script instantly. Languages — Python, R, MATLAB Templates — Classifiers · Regression · Cross-Validation · ROC Curve · Confusion Matrix · Feature Importance · Pipeline · Clustering · Neural Network · SVM · PCA · Preprocessing · Hyperparameter Tuning · Time Series · Bayesian Inference · Naive Bayes · Bayesian Regression · Metropolis-Hastings · Gibbs Sampling · MCMC Diagnostics · Gradient Descent · Constrained Optimization · Bayesian Optimization Every script includes type hints, WHY comments, labelled output, an expected-output block, and an install-command badge (pip install / install.packages / Requires:). Copy to clipboard or share via any app. Three AI-generated follow-up questions deepen understanding after every session. APP FEATURES · Full-text search across all chapters and appendices · Bookmarks for quick chapter access · Font size control: S / M / L / XL · Dark and light mode · Swipe navigation between chapters · Content tab + Notes / cheat-sheet tab per chapter · GFM table rendering with horizontal scroll · Dracula syntax highlighting — light-green comments, orange function calls, pink definitions, purple numbers IDEAL FOR Graduate ML and data science students, practitioners who want a rigorous pocket reference, engineers moving into ML, and anyone studying Bayesian or probabilistic methods. PRIVACY No account required. No personal data collected or stored. The ML Code Generator sends only your prompt text to Anthropic's Claude API; no personal information is ever transmitted.
Abacus
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Abacus: Bead Math turns four classic counting tools into a bright, hands-on way for kids to learn numbers. Slide the colorful beads and a live number appears under the frame, so children see place value, addition and subtraction come to life. FOUR ABACUS STYLES TO EXPLORE • Chinese suanpan (2+5), Japanese soroban (1+4), Ming-style abacus (1+5), and a 10-bead counting frame • Tap or slide a bead to the beam and the number updates instantly • The live readout under the frame turns bead positions into place value kids can see THREE WAYS TO PLAY • Make a number — build the target on the beads • Add — start from a number, then add on the abacus • Subtract — take away, bead by bead (never goes negative) • Three ranges as skills grow: up to 99, 999, or 9,999 MADE FOR FAMILIES • Kid mode with gentle hints and big, easy beads • 100% offline — play anywhere, no Wi-Fi needed • No ads. No in-app purchases. No accounts. No data collected. Ever. • Warm, friendly art and calm sounds • Plays in 11 languages: English, 中文, हिन्दी, Español, العربية, Français, বাংলা, Português, Bahasa Indonesia, Tiếng Việt, اردو Great for ages 4+, classrooms, and Montessori-style hands-on learning. Part of the Math Duel family of kid-friendly, offline learning games.
Screenshots
Verdict
The clearest difference is iOS requirement: Abacus at 14.0 against Data Scientific's 16.0. On price, update cadence, ads and in-app purchases there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. Neither carries in-app purchases, so what you see is what you pay.
Both ship on a similar rhythm, roughly every 3 weeks. The most recent releases landed on October 21, 2026 and October 15, 2026 respectively.
| Parameter | Data Scientific | Abacus |
|---|---|---|
| Price | Free | Free |
| Update frequency | Every 3 weeks | Every 3 weeks |
| Ads | No | No |
| In-app purchases | No | No |
| Devices | iPhone, iPad | iPhone, iPad, iPod — better |
| Requires iOS | 16.0 | 14.0 — better |
| Further details — not scored | ||
| Size | 27 MB | 12 MB |
| Age rating | 4+ | 4+ |
| Developer | Jean Claude Zabaloff | Phuc Huynh |
In-app purchases
Data Scientific
No in-app purchases
Abacus
No in-app purchases









