Shufti Pro
Onfido
Veriff
Sumsub
ComplyCube
Trulioo
IDnow
Encompass
Python
Rust
JavaScript
Java
C++
Elixir
Haskell
Ruby
Shufti Pro is an excellent identity verification services provider that offers SaaS products which includes KYC/AML & KYB screening, biometric authentication, 2-factor authentication, video KYC and ongoing KYC/AML screening. It works on a RestFul API and even have an Auto Code Generator that can give you exact code that you need to integrate with your pre-existing system. Some of the features of Shufti Pro that make it an excellent choice 15 Days Free Trial Real-Time Verification Results Available in 230+ Countries Pay As You Go and monthly commitment pricing models Auto Code Generator No Minimum Verification Volume Required Free Geolocation data for each Verification Customized solutions
Shufti Pro has a global scope and has verified people in over 230 countries of the world. Its restful API ensures that it can integrate easily with any pre-existing online portal, mobile application, and website.
Shufti Pro PythonNo features have been listed yet.
Based on our record, Python seems to be a lot more popular than Shufti Pro. While we know about 282 links to Python, we've tracked only 1 mention of Shufti Pro. 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.
We and our colleagues at B2Broker, are thrilled to announce that our platform, B2Core, formed an alliance with Shufti Pro, a leading AI-powered identity verification service. Because of this agreement, our B2Broker customers will be able to expedite the identity verification process, making it more comfortable and accessible than ever before. Source: about 2 years ago
Import aiohttp Import asyncio Async def fetch(session, url): async with session.get(url) as response: return await response.text() Async def main(): async with aiohttp.ClientSession() as session: html = await fetch(session, 'https://python.org') print(html) Asyncio.run(main()). - Source: dev.to / 19 days ago
Flat packages are the most common used packages, but distribution packages are more robust and can contain multiple flat packages. That's enough detail for this article but if you want to know more Armin Briegel of ScriptingOSX has a great book covering a lot of the details of these package types. I highly recommend picking up a copy for reference. One of the benefits of Distribution packages is that you can... - Source: dev.to / about 2 months ago
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 / 5 months ago
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 / 6 months ago
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 / 6 months ago
Onfido - Onfido is the data-driven platform for intelligent background checking.
Rust - A safe, concurrent, practical language
Veriff - Smart and scalable identity verification.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Sumsub - One verification platform to secure the whole user journey
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
