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Sumsub VS assertpy

Compare Sumsub VS assertpy and see what are their differences

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Sumsub logo Sumsub

One verification platform to secure the whole user journey

assertpy logo assertpy

A straightforward assertion library for Python.
  • Sumsub Landing page
    Landing page //
    2022-10-30

Sumsub is the one verification platform that secures every step of the user journey. With Sumsubโ€™s customizable KYC, KYB, transaction monitoring and fraud prevention solutions, you can orchestrate your verification process, welcome more customers worldwide, meet compliance requirements, reduce costs and protect your business.

Sumsub achieves the highest conversion rates in the industryโ€”91.64% in the US, 95.86% in the UK, and 90.98% in Brazilโ€”while verifying users in less than 50 seconds on average.

Sumsubโ€™s methodology follows FATF recommendations, the international standard for AML/CTF rules and local regulatory requirements (FINMA, FCA, CySEC, MAS, BaFin).

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

assertpy

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

Sumsub features and specs

  • Compliance with regulations
    Sumsub offers features to ensure businesses comply with KYC, KYB, and AML regulations, reducing the risk of legal issues.
  • User-friendly interface
    The platform is designed to be intuitive, making it easier for both businesses and users to navigate the verification process.
  • Automated verification
    Sumsub provides automated processes to quickly verify documents and identities, reducing manual workload and speeding up onboarding.
  • Global reach
    Supports document verification from over 220 countries and territories, making it suitable for businesses with an international user base.
  • Customization options
    Offers various customization features to tailor the verification process according to specific business needs and user flows.
  • Fraud prevention
    Advanced technology to detect fraudulent documents and identities, enhancing the security and integrity of the verification process.
  • Comprehensive Analytics
    Provides detailed analytics and monitoring tools to track the verification process and identify bottlenecks or issues.

Possible disadvantages of Sumsub

  • Cost
    The service can be expensive, which might be a barrier for smaller businesses or startups.
  • Complexity for smaller organizations
    The range of features and customization options may be overwhelming for smaller businesses that do not have dedicated compliance teams.
  • Integration challenges
    Some businesses may experience difficulties integrating Sumsub with their existing systems, especially if they have unique technical requirements.
  • Dependence on internet connection
    The service relies on a stable internet connection for real-time verification, which might be problematic in regions with poor connectivity.
  • User privacy concerns
    Users might have concerns about sharing sensitive personal information, such as identity documents, even though Sumsub follows strict security protocols.
  • Regional regulations
    Compliance features might not be entirely up-to-date with the latest regional regulatory changes in fast-evolving jurisdictions, requiring businesses to perform regular reviews.

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

Sumsub videos

How Sumsub KYC works

More videos:

  • Demo - Full-cycle business verification (KYB)
  • Review - The most flexible transaction monitoring solution (KYT)

assertpy videos

No assertpy videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Sumsub and assertpy)
Identity Verification And Protection
Testing
0 0%
100% 100
Identity Verification
100 100%
0% 0
Python
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Sumsub and assertpy

Sumsub Reviews

  1. Vito A
    ยท Trader ยท

    Hands down one of the best experiences with document verification. I have to go through this kind of checks on a weekly basis and sumsub is relatively fast and has a smooth interface that guides you through the whole process. Solid 5/7

    ๐Ÿ‘ Pros:    Super fast

The Top 10 KYC (Know Your Customer) Solutions
Sumsub is a user verification platform that is designed to provide an easy onboarding process for trusted users from any country. This helps to ensure regulatory compliance, while minimizing fraudulent activities. With a 30-second onboarding time, the platform offers customizable Know Your Customer (KYC) and Anti-Money Laundering (AML) processes tailored to meet unique...
Discover the Top 5 Identity Verification Providers in 2023
When it comes to capabilities, flexibility is a key selling point as it empowers organizations to align the identity verification service with their unique workflows, compliance needs, and risk appetite. Different vendors provide different levels of customizations, with ComplyCube and SumSub offering the most flexible and granular options in their respective online portals.

assertpy Reviews

We have no reviews of assertpy yet.
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Social recommendations and mentions

Based on our record, Sumsub seems to be more popular. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Sumsub mentions (8)

  • Haru Invest referral code: ๐Ÿš€๐Ÿ’ฐ 'HELLO' (March 2023)
    After that you must complete secure KYC process (done via the SumSub company). Source: over 3 years ago
  • Binance p2p
    I didnt recieve my crypto from the p2p Transfer and its asking for me to do verification from sumsub.com. I have no idea what this website is but I filled out the verification and it says they are partnered with Binance. Source: over 3 years ago
  • Community discussion about Spectrum Finance $SPF token in this thread December 9th, 6 pm UTC โ€” Please join!
    KYC and data storage could be done by a trusted third-party service called Sum and Substance. Source: over 3 years ago
  • Level 2 verification - document not approved / CS not replying
    It might be required to present proof of address for KYC, which you can learn more about here. The KYC procedure is handled by our partners at sumsub.com and they are the ones checking the validity of the document. Source: about 4 years ago
  • Is there a way to verify my account with non-english IDs/ PoA?
    Updated the link with the source. Hope it helps. https://sumsub.com/. Source: over 4 years ago
View more

assertpy mentions (0)

We have not tracked any mentions of assertpy yet. Tracking of assertpy recommendations started around Mar 2021.

What are some alternatives?

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

Onfido - Onfido is the data-driven platform for intelligent background checking.

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

Veriff - AI-powered identity verification & fraud prevention software Veriff provides a best- in-class identity verification solution combining AI with in-house experts to maximize accuracy and speed.

Trulioo - Trulioo, an online identity verification company, enables trust and safety online by powering fraud and compliance systems worldwide.

ComplyCube - Verify your customers in under 15 seconds anywhere in the world with a cutting-edge SaaS & API platform for Identity Verification and AML/KYC compliance.

Shufti - Shufti is an enterprise-grade identity verification, KYC, and AML compliance platform powered by fully proprietary in-house AI tech with zero third-party dependencies, built for global banks and regulated enterprises across multiple jurisdictions.