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BackupLABS VS assertpy

Compare BackupLABS VS assertpy and see what are their differences

Unimus
Unimus is a Network Automation and Configuration management (NCM) solution designed for fast deployment network-wide and ease of use. Unimus does not require learning any abstraction or templating languages, and does not require any coding skills. sponsored
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Contents:
  1. ยป Base Details
  2. ยป Reviews
  3. ยป Alternatives

BackupLABS logo BackupLABS

Cloud app providers do NOT offer a robust backup solution for your data held within their systems.

assertpy logo assertpy

A straightforward assertion library for Python.
  • BackupLABS Dashboard
    Dashboard //
    2025-06-16
  • BackupLABS Authorise
    Authorise //
    2025-06-16
  • BackupLABS Backup Selection
    Backup Selection //
    2025-06-16
  • BackupLABS Restore
    Restore //
    2025-06-16

BackupLABS provides an automated way for organizations of all sizes to protect your critical data that is held within popular cloud based applications. The vast majority of these cloud based apps, make it very easy to onboard and import data to start using the app. Such as GitHub, GitLab, Trello, Jira, Asana and Notion.

However, none of them offer a robust backup solution so you can protect your most important asset - your data. Organizations are putting more and more critical data on these platforms and the providers T&Cs always state that the customer needs to backup and protect their own data. This is also known as the "Shared Responsibility Model".

  • assertpy Landing page
    Landing page //
    2022-11-06

BackupLABS

Website
backuplabs.io
Pricing URL
Official BackupLABS Pricing
$ Details
paid Free Trial $5 / Monthly (5x Trello boards protected)
Startup details
Country
United Kingdom
Founder(s)
Rob Stevenson
Employees
10 - 19
Edit details

assertpy

Website
github.com
Pricing URL
-
$ Details
-
Categories
#Testing #Python
Edit details

BackupLABS features and specs

  • Setup In Minutes
  • Automatic Daily Backup
  • Encrypted Storage & Transfer

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.

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

Category Popularity

0-100% (relative to BackupLABS and assertpy)

BackupLABS

assertpy

Backup And Disaster Recovery
100 100%
Backup And Disaster Recovery
0% 0
Testing
0 0%
Testing
100% 100
Backup & Restore
100 100%
Backup & Restore
0% 0
Python
0 0%
Python
100% 100

Questions & Answers

As answered by people managing BackupLABS and assertpy.

What makes your product unique?

BackupLABS's answer

We backup SaaS apps that the main backup providers do not offer. Such as Trello, GitHub, GitLab, Asana, Jira and Notion.

Why should a person choose your product over its competitors?

BackupLABS's answer

BackupLABS is easy to use and can be setup within 5 minutes.

How would you describe the primary audience of your product?

BackupLABS's answer

SME market as well as public sector.

Which are the primary technologies used for building your product?

BackupLABS's answer

Amazon Web Services.

What's the story behind your product?

BackupLABS's answer

BackupLABS was created after the founder, Rob Stevenson became frustrated with the lack of backup solutions available for SaaS apps. He also runs a traditional backup service with a sister company called BackupVault.

Back in 2017 when Microsoft 365 was created, there was no backup available. He missed the opportunity to create a 365 backup system and saw the same issues occuring now with the explosion of other SaaS based services.

These services all contain critical data, and the app providers themselves all state the data is the customers responsibility.

BackupLABS was founded with two apps supported at first: GitHub and Trello. But many more have been added including: GitLab, Jira and Notion.

User comments

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What are some alternatives?

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

Rewind - Rewind Backups is a top-rated cloud-to-cloud backup solution for SaaS applications. Back up, restore, and copy the critical information stored in your SaaS applications.

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

ProBackup - Backup and restore for Asana, ClickUp, Monday & more

Notion Backups - Easily back up and restore your Notion workspaces.

Skyvia - No-code data integration with 200+ data sources, including Salesforce, Dynamics 365, HubSpot, Asana, SQL Server, MySQL, Snowflake, BigQuery, CSV, FTP, and more.

FluentPro Backup - Automated project backup and restore solution for Microsoft Dataverse and project management platforms like Microsoft Project for the Web, New Planner, Monday.com, Asana, Trello, Office 365 Planner, Smartsheet, and Dynamics 365 Project Operations.

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