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assertpy VS RTLAuto

Compare assertpy VS RTLAuto and see what are their differences

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assertpy logo assertpy

A straightforward assertion library for Python.

RTLAuto logo RTLAuto

Build once. Ship both directions. Prepare Figma designs for RTL and LTR markets with less manual rework.
  • assertpy Landing page
    Landing page //
    2022-11-06
  • RTLAuto RTLAuto - One click. Every detail.
    RTLAuto - One click. Every detail. //
    2026-07-20

RTLAuto is a Figma plugin for preparing designs for both RTL and LTR markets with less manual rework.

It intelligently adapts Auto Layout, alignment, directional icons, typography, fonts, variables, components, gradients, shadows, corner radii, strokes, padding, and translated content while preserving the structure and consistency of the original design.

Key capabilities: - Bidirectional RTL and LTR conversion - Auto Layout and component adaptation - Directional icon flipping - Font handling and directional typography mapping - Design-token and variable support - Gradient, shadow, corner, stroke, and padding direction updates - Translation across 194 language targets

The free plan includes 10 operations per day and two component conversions per Figma account. Pro and Business plans support larger workflows and design-system teams.

Built for: Global brands entering MENA, regional product teams, government digital services, design studios, small businesses, and independent Figma designers.

assertpy

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

RTLAuto

$ Details
freemium $99 / Annually (Pro - 1 Figma account)
Release Date
2026 July

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.

RTLAuto features and specs

  • Bidirectional Figma conversion
    Adapts selected designs between RTL and LTR while preserving the original structure.
  • Design system support
    Handles components, variables, directional typography, Auto Layout, gradients, shadows, strokes, and spacing.
  • Translation and font handling
    Supports 194 translation targets, compatible original fonts, selected fonts, and missing-font workflows.

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

assertpy videos

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RTLAuto videos

RTLAuto - Bidirectional RTL and LTR Automation for Figma

Category Popularity

0-100% (relative to assertpy and RTLAuto)
Testing
100 100%
0% 0
Design Tools
0 0%
100% 100
Python
100 100%
0% 0
UI Design
0 0%
100% 100

Questions & Answers

As answered by people managing assertpy and RTLAuto.

What makes your product unique?

RTLAuto's answer:

RTLAuto is focused on real bidirectional Figma workflows, not only text translation or simple mirroring. It helps designers convert interfaces between LTR and RTL while preserving structure, components, Auto Layout behavior, styles, variables, typography, shadows, gradients, spacing, and directional details.

This makes it useful for product teams and design-system teams that need Arabic, Hebrew, Persian, Urdu, or multilingual interface versions without rebuilding layouts manually.

Why should a person choose your product over its competitors?

RTLAuto's answer:

Choose RTLAuto when your goal is to prepare production Figma files for both RTL and LTR markets with less manual cleanup. It is designed around interface direction, design-system consistency, and practical handoff quality.

RTLAuto is especially useful when a file includes Auto Layout, components, directional icons, typography choices, variables, shadows, gradients, padding, strokes, and translated content that all need to remain coherent after conversion.

How would you describe the primary audience of your product?

RTLAuto's answer:

RTLAuto is built for Figma designers and product teams working on bidirectional interfaces. The primary audience includes global brands entering MENA, regional product teams, government digital services, design studios, small businesses, independent Figma designers, UX/UI teams, localization teams, and design-system teams.

It is most relevant when teams need to support Arabic, Hebrew, Persian, Urdu, or mixed-language product experiences while keeping design files structured and reusable.

What's the story behind your product?

RTLAuto's answer:

RTLAuto was built around a recurring design problem: teams often finish a strong LTR product design, then spend significant manual time preparing the RTL version for Arabic, Hebrew, Persian, Urdu, or mixed-language markets.

The product focuses on reducing that repetitive cleanup inside Figma by automating direction-aware layout adaptation, translation support, font handling, directional icons, components, and design-system details.

User comments

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What are some alternatives?

When comparing assertpy and RTLAuto, you can also consider the following products

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

Figma - Team-based interface design, Figma lets you collaborate on designs in real time.