Comparison

Polynomial Regression vs Solution Equilibria Lab

Price, ratings, monetisation and update history for both apps, side by side โ€” with what reviewers say about each.

Head to head
About

Polynomial Regression

Features
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Polynomial Regression is your calculator and, more importantly, learning tool. You will be able to: * Construct polynomials of up to 20 degrees from either real or complex roots. * Interpolate polynomials from points by Lagrange, Newton or Vandermonde methods and Quadratic or Cubic splines. * Perform Least Squares approximation by orthogonal projection, with or without QR factorization, or partial derivatives. * Learn about each of the algorithms with derivations, proofs, step by step demonstrations, and visual tools. * Have an option to enter data by either typing or tapping on XY plane, and save data sets between program runs.

About

Solution Equilibria Lab

Features
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The Solution Equilibria Lab application is designed to calculate equilibrium constants (dissociation constants of weak acids and solubility products of sparingly soluble salts) from acid-base and precipitation potentiometric titration data in aqueous solutions. It covers titrations of weak monobasic acids and their mixtures, dibasic acids, and the precipitation of sparingly soluble salts of 1:1 and 1:2 valence types. The application accurately processes experimental data and determines the thermodynamic constants of the corresponding equilibrium processes. This powerful analytical tool is designed for chemists, researchers, teachers, and students to quickly and reliably estimate equilibrium constants from potentiometric titration data. Whether in the lab or the classroom, this application provides accurate calculations in real time, excellent solution visualization via diagrams, a user-friendly interface, and the ability to export the solution to a file for further work. The Solution Equilibria Lab app is designed for both scientists and students and is now optimized for mobile devices.

Screenshots

Polynomial Regression4 screens
Solution Equilibria Lab4 screens

Verdict

The call

The clearest difference is update cadence: Polynomial Regression at every 3 weeks against Solution Equilibria Lab's every 2 months. On price, ads, in-app purchases and device support there is nothing between them.

Scored on Price ยท Rating ยท Positive reviews ยท Number of ratings ยท Update frequency ยท Ads ยท In-app purchases ยท Monetization ยท Best chart rank ยท Devices ยท Requires iOS

CostPrice ยท In-app purchases ยท Ads ยท Monetization

Both are free to download. Neither carries in-app purchases, so what you see is what you pay.

UpkeepUpdate frequency

Polynomial Regression ships an update every 3 weeks, Solution Equilibria Lab every 2 months. The most recent releases landed on October 2, 2026 and October 6, 2026 respectively.

Scorecard1 real difference ยท 5 level
Polynomial Regression versus Solution Equilibria Lab: the parameters behind the verdict, then further details
ParameterPolynomial RegressionSolution Equilibria Lab
PriceFreeFree
Update frequencyEvery 3 weeks โ€” betterEvery 2 months
AdsNoNo
In-app purchasesNoNo
DevicesiPhone, iPad, iPodiPhone, iPad, iPod, Mac โ€” better
Requires iOS15.015.0
Further details โ€” not scored
Size4 MB114 MB
Age rating4+4+
DeveloperYuri MorozovOleksandr Rubtsov

In-app purchases

None

Polynomial Regression

No in-app purchases

None

Solution Equilibria Lab

No in-app purchases

Questions

Is Polynomial Regression free?
Polynomial Regression is free to download, with no in-app purchases.
Is Solution Equilibria Lab free?
Solution Equilibria Lab is free to download, with no in-app purchases.
Do Polynomial Regression or Solution Equilibria Lab have ads?
Neither Polynomial Regression nor Solution Equilibria Lab shows ads.
Which is updated more often, Polynomial Regression or Solution Equilibria Lab?
Polynomial Regression ships an update every 3 weeks, and Solution Equilibria Lab every 2 months. Most recently, Polynomial Regression was updated on October 2, 2026 and Solution Equilibria Lab on October 6, 2026.

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