Software Alternatives, Accelerators & Startups

assertpy VS Overgrid by Paintingstack

Compare assertpy VS Overgrid by Paintingstack and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

assertpy logo assertpy

A straightforward assertion library for Python.

Overgrid by Paintingstack logo Overgrid by Paintingstack

Overlay a precision grid on any reference photo. Transfer proportions to canvas accurately. The grid method, in your pocket.
  • assertpy Landing page
    Landing page //
    2022-11-06
  • Overgrid by Paintingstack See the values before you paint
    See the values before you paint //
    2026-04-17
  • Overgrid by Paintingstack Values. Temperature. Contrast. One Tap.
    Values. Temperature. Contrast. One Tap. //
    2026-04-17
  • Overgrid by Paintingstack Accuracy your teacher won't believe
    Accuracy your teacher won't believe //
    2026-04-17
  • Overgrid by Paintingstack Your grid, your way.
    Your grid, your way. //
    2026-04-17
  • Overgrid by Paintingstack No subscription. Yours forever.
    No subscription. Yours forever. //
    2026-04-17

Add a grid to any reference photo. Transfer proportions to canvas with confidence.

Import from your gallery or shoot with your camera. Set rows, columns, line weight, and color. Crop your image to match your exact canvas proportions before you grid, so every square lines up when you transfer. No guesswork, no wasted paint.

Adaptive contrast reads your image and picks grid colors that stay visible on any background. Dark lines on light areas, light lines on dark. You never lose the grid.

Value study breaks the image into tonal levels so you can plan light and shadow before you start. Temperature overlay maps warm and cool zones across the composition.

Save setups as presets. One tap to apply your favorite grid configuration to any new project. Add diagonals for composition analysis. Turn on numbering to track your squares.

Export at full resolution, up to 4096px, for printing or reference at any size.

Free includes three projects, basic grid, and 1080px export. Premium is $9.99, once. Not a subscription.

No account. No cloud. No ads. Your images never leave your device.

Available on iPhone, iPad, Mac, and Android.

assertpy

Website
github.com
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Categories

Overgrid by Paintingstack

$ Details
freemium $12.99 / One-off (Lifetime Premium)
Platforms
iOS iPhone iPad MacOS Android
Release Date
2026 April
Startup details
Country
Chile
City
Santiago
Founder(s)
Gregorio Undurraga
Employees
1 - 9

assertpy features and specs

  • Fluent API
    Assertpy offers a fluent API that makes assertions more readable and expressive, enabling developers to write assertions in a natural language style that is easy to understand.
  • Chainable Assertions
    It allows for chainable assertions, enabling multiple checks to be performed in a single line of code, thereby reducing verbosity and enhancing clarity.
  • Comprehensive Assertion Methods
    The library provides a wide range of built-in assertion methods, catering to various types of data validations, such as checking for size, type, value, and more.
  • Extensibility
    Assertpy supports extending its functionality by defining custom assertions, allowing developers to tailor it to their specific needs.
  • Pythonic
    Designed with Pythonic principles in mind, Assertpy fits seamlessly into Python projects, enabling idiomatic and consistent code style.

Possible disadvantages of assertpy

  • Learning Curve
    Developers new to the library may encounter a learning curve due to the distinct approach of using fluent and chainable assertions as opposed to traditional methods.
  • Limited by Python Version
    The library may have limitations in terms of compatibility with older versions of Python, requiring users to ensure their environment is up-to-date.
  • Performance Overhead
    The additional abstraction layer introduced by a fluent interface might introduce some performance overhead, especially in performance-critical or resource-constrained environments.
  • Less Community Support
    Compared to more established testing libraries, Assertpy might have less community support and fewer resources available for resolving issues or getting help.
  • Dependency Management
    Using a third-party library introduces additional dependencies to manage, which could complicate project maintenance and compatibility.

Overgrid by Paintingstack features and specs

  • Grid overlay
    Custom rows, columns, line weight, opacity, color
  • Aspect ratio crop
    Match reference to canvas proportions before gridding
  • Adaptive contrast
    Grid auto-adjusts color to stay visible on any image
  • Value study
    Reduces image to 3-5 tonal levels for light/shadow planning
  • Temperature overlay
    Maps warm and cool zones across the composition
  • Diagonals and numbering
    Diagonal lines for composition, numbered squares for tracking
  • Presets
    Save and load favorite grid configurations

Analysis of assertpy

Overall verdict

  • assertpy is a well-regarded, lightweight assertion library for Python that provides a fluent, chainable API for writing readable and expressive test assertions, making it a solid choice for improving test clarity.

Why this product is good

  • Offers a fluent, chainable assertion syntax that makes tests more readable and self-documenting
  • Comprehensive built-in assertions for strings, numbers, lists, dicts, files, dates, and more
  • Produces clear, descriptive failure messages that speed up debugging
  • Lightweight with minimal dependencies and easy to integrate into existing test suites
  • Framework-agnostic, working seamlessly with pytest, unittest, and other test runners
  • Actively maintained open-source project with good documentation and community support

Recommended for

  • Python developers who want more readable and expressive test assertions
  • Teams using pytest or unittest looking to enhance assertion clarity
  • Projects that value descriptive failure messages for faster debugging
  • Developers coming from fluent assertion libraries in other languages (like AssertJ or Chai)
  • QA engineers and testers writing maintainable, self-documenting test code

Analysis of Overgrid by Paintingstack

Overall verdict

  • I don't have verified information about Overgrid by Paintingstack, as this appears to be a niche or lesser-known product without sufficient publicly available reviews, documentation, or user feedback for me to assess accurately.

Why this product is good

  • I don't have reliable data on this specific tool's features or performance
  • No verifiable user reviews or independent testing sources are accessible to me for this product
  • Claims about niche software tools can be unverified without direct access to the platform

Recommended for

  • Recommend checking the official website directly for feature details and pricing
  • Look for independent reviews on platforms like G2, Capterra, or Trustpilot
  • Consider reaching out to the company for a demo or trial to evaluate firsthand
  • Search for user testimonials on forums or social media related to painting/design software

Category Popularity

0-100% (relative to assertpy and Overgrid by Paintingstack)
Testing
100 100%
0% 0
Mobile Apps
0 0%
100% 100
Python
100 100%
0% 0
Photo Editing
0 0%
100% 100

Questions & Answers

As answered by people managing assertpy and Overgrid by Paintingstack.

What makes your product unique?

Overgrid by Paintingstack's answer:

Most grid apps stop at drawing lines on a photo. Overgrid adds tools that painters actually need: adaptive contrast that reads your image and picks grid colors that stay visible on any background, value studies that break the reference into tonal levels for planning light and shadow, and temperature overlays that map warm and cool zones across the composition. It also crops your reference to match your exact canvas proportions before you grid, so every square lines up when you transfer. No other grid app combines all of these in one place.

Why should a person choose your product over its competitors?

Overgrid by Paintingstack's answer:

One price, no subscription. Most competitors either lock basic features behind recurring payments or show ads. Overgrid has a genuinely useful free tier and a single $9.99 lifetime purchase for everything. It also works offline with no account required, your images never leave your device. And it runs on iPhone, iPad, Android, and Mac.

How would you describe the primary audience of your product?

Overgrid by Paintingstack's answer:

Painters and illustrators who use the grid method to transfer reference photos to canvas. Art students learning to see proportions. Anyone who works from a reference image and needs accurate scaling, whether they are painting 8x10 inches or 4 feet wide.

What's the story behind your product?

Overgrid by Paintingstack's answer:

The grid method has been used by artists for over 500 years, from Albrecht Durer to Chuck Close. But the digital tools available for it were either too basic (just lines on a photo) or buried useful features behind subscriptions. Overgrid was built to be the reference tool painters actually want: fast grid setup, canvas matching, value studies, and adaptive contrast, all without accounts, ads, or recurring charges.

Which are the primary technologies used for building your product?

Overgrid by Paintingstack's answer:

Flutter for cross-platform development (iOS, Android, iPad, macOS), Riverpod for state management, StoreKit 2 and Google Play Billing for in-app purchases, and Sentry for error tracking.

User comments

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What are some alternatives?

When comparing assertpy and Overgrid by Paintingstack, you can also consider the following products

grappa - grappa is an declarative, verbose, and expressive assertion library for Python.

Grid - Grid is software designed to assist professionals in creating quality software. The software features a number of essential features for dedicated coding specialists, each of which can prove invaluable in the long run. Read more about Grid.