Software Alternatives & Reviews

ComplyCube VS Python

Compare ComplyCube VS Python and see what are their differences

ComplyCube logo 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.
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Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
  • ComplyCube Landing page
    Landing page //
    2022-06-06

ComplyCube offers one of the most advanced and complete platforms in the identity verification and KYC space, helping small, large, and prominent organizations effortlessly meet their AML obligations worldwide.

ComplyCube's mission is to grow trust in the global digital economy by empowering businesses of all sizes to implement slick and resilient verification journeys that increase customer conversions, prevent fraud, and reduce onboarding costs – all without adding unnecessary friction to genuine users.

The all-in-one KYC verification platform is built upon cutting-edge AI, trusted sources, and expert human reviewers, allowing us to offer an extensive and coherent array of checks, including AML & PEP Screening, Document Authentication, Biometric Verification, Multi-bureau Checks, Address Verification, and much more.

Why ComplyCube?

❇️ Trusted by startups and big names alike, including AXA, Lycamobile, and Citi.

❇️ 98% Client onboarding rate, helping you convert more customers and grow your business.

❇️ One-stop solution for everything you need to meet your AML and KYC compliance obligations.

❇️ Global coverage of 220+ countries, 10,000+ document types, and over 3,000 data points from trusted sources and partners worldwide.

❇️ A large set of features and checks, including PEP and Sanctions Screening, Adverse Media Checks, ID Document Verification, Biometric Checks, Liveness Detection, Government Database Checks, Address Verification, and more.

  • Python Landing page
    Landing page //
    2021-10-17

ComplyCube features and specs

  • AML & Sanctions Screening: Yes
  • PEP Checks: Yes
  • Negative Media Screening: Yes
  • Watchlist Screening: Yes
  • Biometric Verification: Yes
  • Liveness Checks: Yes
  • Biometric Authentication: Yes
  • Electronic Identity Verification (eIDV): Yes
  • Electronic Know Your Customer (eKYC): Yes
  • ID Document Verification: Yes
  • Proof of Address Checks: Yes
  • Address Verification: Yes
  • Goverement Databases and Bureau Checks: Yes
  • KYC API: Yes
  • AML API: Yes
  • Age Verification: Yes
  • NFC Scanning: Yes

Python features and specs

No features have been listed yet.

ComplyCube videos

ComplyCube Mobile SDK Demo - Easy and Secure Identity Verification

Python videos

Creator of Python Programming Language, Guido van Rossum | Oxford Union

Category Popularity

0-100% (relative to ComplyCube and Python)
Security & Privacy
100 100%
0% 0
Programming Language
0 0%
100% 100
Identity Verification And Protection
OOP
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 ComplyCube and Python

ComplyCube Reviews

  1. Perfect experience so far

    ComplyCube makes it easy to verify identities and stay compliant with regulations. It helps businesses onboard customers smoothly while following the rules. With simple tools to check identities and manage risks, ComplyCube is a great choice for any company needing to keep things legal and straightforward.

    👍 Pros:    User-friendly interface:|Customization|Efficiency
    👎 Cons:    Cost|Customer support
  2. Really impressive through and through!

    This was one of the most pleasant SaaS integrations I've ever experienced. Simple documentation, quick engagement from Sales all the way to Support. We wanted to launch our product in two countries, then scale to 16 within 4 months. ComplyCube was extremely supportive and provided us with KYC strategy and a platform that's flexible and useful for our business needs. Very pleased!

    🏁 Competitors: SwiftDil, Onfido, MetaMap, Yoti, GetID, Sumsub, Passbase, Ondato
    👍 Pros:    Easy to use|Simple yet powerful and efficient tool|Excellent support|Impressive ui|Easy integration|Comprehensive data
    👎 Cons:    Nothing that i can think of.
  3. Amazing identity verification platform and team!

    We've tried several SaaS platforms in the identity verification space, but we were left frustrated with complicated integration steps and not particularly unhelpful support and sales.

    ComplyCube (and shoutout to Vic and Lucas) were brilliant from the get-go! The API documentation is rich and easy to follow. Integrations took us a couple of hours and our clients are breezing through the onboarding process keep it up guys!

    🏁 Competitors: SwiftDil, Shufti Pro, Veriff, Passbase, Onfido, Yoti, Sumsub
    👍 Pros:    Excellent customer service|Super fast|Cost-effective plans|Global coverage|Iso-certified solution|Easy integration
    👎 Cons:    Large-volume pricing is not public, and we had to speak to the sales team to get a quote

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Social recommendations and mentions

Based on our record, Python seems to be more popular. It has been mentiond 280 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.

ComplyCube mentions (0)

We have not tracked any mentions of ComplyCube yet. Tracking of ComplyCube recommendations started around Jun 2022.

Python mentions (280)

  • Python String Formatting: A Comprehensive Guide to F-strings
    F-strings, introduced in Python 3.6 and later versions, provide a concise and readable way to embed expressions inside string literals. They are created by prefixing a string with the letter ‘f’ or ‘F’. Unlike traditional formatting methods like %-formatting or str.format(), F-strings offer a more straightforward and Pythonic syntax. - Source: dev.to / 3 months ago
  • Don’t Block entire Python Thread: Use Asynchronous Programming Instead
    Import aiohttp, asyncio Async def fetch_data(i, url): print('Starting', i, url) async with aiohttp.ClientSession() as session: async with session.get(url): print('Finished', i, url) Async def main(): urls = ["https://dev.to", "https://medium.com", "https://python.org"] async_tasks = [fetch_data(i+1, url) for i, url in enumerate(urls)] await... - Source: dev.to / 4 months ago
  • A Comprehensive Guide to Python Threading: Advanced Concepts and Best Practices
    Threading involves the execution of multiple threads (smaller units of a process) concurrently, enabling better resource utilization and improved responsiveness. Python‘s threading module facilitates the creation, synchronization, and communication between threads, offering a robust foundation for building concurrent applications. - Source: dev.to / 4 months ago
  • Building Fast APIs with FastAPI: A Comprehensive Guide
    FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework. - Source: dev.to / 4 months ago
  • Can I become Python expert in 44 Days?
    When you have finished your thirty days, I recommend to go to the official site and read the offical python tutorial at python.org : https://docs.python.org/3/tutorial/index.html . Source: 5 months ago
View more

What are some alternatives?

When comparing ComplyCube and Python, you can also consider the following products

Sumsub - One verification platform to secure the whole user journey

Rust - A safe, concurrent, practical language

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

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

Veriff - Smart and scalable identity verification.

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible