Understanding AML/KYC: a light primer for engineers

• examples

  150 7,900 3.4 Jupyter Notebook

  TensorFlow examples (by tensorflow)

  

  Machine learning techniques empower automated systems to detect and learn patterns and anomalies across enormous datasets, optimizing the accuracy of fraud detection. Libraries like TensorFlow or PyTorch are extensively used to build predictive models that can identify suspicious transaction patterns, enhancing the effectiveness of your AML/KYC processes. You can find publicly available models on sites like Hugging Face Model Hub and Kaggle.

• InfluxDB

  www.influxdata.com featured

  Purpose built for real-time analytics at any scale. InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.

  

• apollo-server

  72 13,748 8.7 TypeScript

  🌍  Spec-compliant and production ready JavaScript GraphQL server that lets you develop in a schema-first way. Built for Express, Connect, Hapi, Koa, and more.

  

  APIs are often the key to enabling interoperability between AML/KYC solutions and other systems. Design APIs following RESTful principles—using libraries like ExpressJs (JavaScript), Flask (Python), or Actix Web (Rust)—ensuring they are stateless and support the JSON/XML formats expected by most systems. Use Swagger to generate detailed documentation for RESTful APIs to facilitate integration and ensure your APIs are easily consumable by other systems. If you’re building GraphQL APIs, using tools like Apollo Server, Prisma, or Graphene will allow for self-documenting APIs (through GraphQL introspection).

• swagger-ui

  140 26,295 9.7 JavaScript

  Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.

  

  APIs are often the key to enabling interoperability between AML/KYC solutions and other systems. Design APIs following RESTful principles—using libraries like ExpressJs (JavaScript), Flask (Python), or Actix Web (Rust)—ensuring they are stateless and support the JSON/XML formats expected by most systems. Use Swagger to generate detailed documentation for RESTful APIs to facilitate integration and ensure your APIs are easily consumable by other systems. If you’re building GraphQL APIs, using tools like Apollo Server, Prisma, or Graphene will allow for self-documenting APIs (through GraphQL introspection).

• Pytorch

  359 81,779 10.0 Python

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  

  Machine learning techniques empower automated systems to detect and learn patterns and anomalies across enormous datasets, optimizing the accuracy of fraud detection. Libraries like TensorFlow or PyTorch are extensively used to build predictive models that can identify suspicious transaction patterns, enhancing the effectiveness of your AML/KYC processes. You can find publicly available models on sites like Hugging Face Model Hub and Kaggle.

• Graphene

  20 8,053 7.2 Python

  GraphQL framework for Python

  

  APIs are often the key to enabling interoperability between AML/KYC solutions and other systems. Design APIs following RESTful principles—using libraries like ExpressJs (JavaScript), Flask (Python), or Actix Web (Rust)—ensuring they are stateless and support the JSON/XML formats expected by most systems. Use Swagger to generate detailed documentation for RESTful APIs to facilitate integration and ensure your APIs are easily consumable by other systems. If you’re building GraphQL APIs, using tools like Apollo Server, Prisma, or Graphene will allow for self-documenting APIs (through GraphQL introspection).

• Express

  709 64,723 8.3 JavaScript

  Fast, unopinionated, minimalist web framework for node.

  

  APIs are often the key to enabling interoperability between AML/KYC solutions and other systems. Design APIs following RESTful principles—using libraries like ExpressJs (JavaScript), Flask (Python), or Actix Web (Rust)—ensuring they are stateless and support the JSON/XML formats expected by most systems. Use Swagger to generate detailed documentation for RESTful APIs to facilitate integration and ensure your APIs are easily consumable by other systems. If you’re building GraphQL APIs, using tools like Apollo Server, Prisma, or Graphene will allow for self-documenting APIs (through GraphQL introspection).

• Apache Camel

  23 5,483 10.0 Java

  Apache Camel is an open source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data.

  

  Seamless integration of AML and KYC solutions with existing systems is critical for effective automation. Use middleware platforms like MuleSoft (commercial) or Apache Camel (open source) to facilitate data exchange or deeper integrations between many disparate systems. Integration testing to ensure faithful and ongoing interoperability between both proprietary and 3rd-party systems should be rigorous and will ensure that a misconfiguration, a poorly architected subsystem, or a bit of rogue code doesn’t threaten your compliance and expose you or your customer to risk.

• SaaSHub

  www.saashub.com featured

  SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

  

• actix-web

  174 21,192 9.4 Rust

  Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust.

  

  APIs are often the key to enabling interoperability between AML/KYC solutions and other systems. Design APIs following RESTful principles—using libraries like ExpressJs (JavaScript), Flask (Python), or Actix Web (Rust)—ensuring they are stateless and support the JSON/XML formats expected by most systems. Use Swagger to generate detailed documentation for RESTful APIs to facilitate integration and ensure your APIs are easily consumable by other systems. If you’re building GraphQL APIs, using tools like Apollo Server, Prisma, or Graphene will allow for self-documenting APIs (through GraphQL introspection).

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