Automating Enhanced Due Diligence in Regulated Applications

1. examples

   1 171 8,059 7.3 Jupyter Notebook

   TensorFlow examples (by tensorflow)

   

   Frameworks like TensorFlow and PyTorch can help you build and train models for various tasks, such as risk scoring, anomaly detection, and pattern recognition.

2. CodeRabbit

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3. PostgreSQL

   2 485 17,078 10.0 C

   Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch

   

   The initial data collection is usually done through a web-based application where compliance teams input client or vendor information. Once a record is created, you can use ETL tools like Apache Hop to extract data from multiple sources (like financial records, regulatory filings, and public databases) in real time and store them in scalable databases like PostgreSQL or MongoDB for easy access and management.

4. MongoDB

   3 298 26,897 10.0 C++

   The MongoDB Database

   

   The initial data collection is usually done through a web-based application where compliance teams input client or vendor information. Once a record is created, you can use ETL tools like Apache Hop to extract data from multiple sources (like financial records, regulatory filings, and public databases) in real time and store them in scalable databases like PostgreSQL or MongoDB for easy access and management.

5. Apache Spark

   4 118 40,735 10.0 Scala

   Apache Spark - A unified analytics engine for large-scale data processing

   

   If you're designing an event-based pipeline, you can use a data streaming tool like Kafka to process data as it's collected by the pipeline. For a setup that already has data stored, you can use tools like Apache Spark to batch process and clean it before moving ahead with the pipeline.

6. Pytorch

   5 384 87,979 10.0 Python

   Tensors and Dynamic neural networks in Python with strong GPU acceleration

   

   Frameworks like TensorFlow and PyTorch can help you build and train models for various tasks, such as risk scoring, anomaly detection, and pattern recognition.

7. ApacheKafka

   6 128 35 0.0

   A curated re-sources list for awesome Apache Kafka

   

   For real-time data streaming and analysis, tools like Apache Kafka and Apache Flink are popular choices.

8. hop

   7 15 1,097 9.8 Java

   Hop Orchestration Platform

   

   The initial data collection is usually done through a web-based application where compliance teams input client or vendor information. Once a record is created, you can use ETL tools like Apache Hop to extract data from multiple sources (like financial records, regulatory filings, and public databases) in real time and store them in scalable databases like PostgreSQL or MongoDB for easy access and management.

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10. Apache Flink

    8 13 24,649 9.9 Java

    Apache Flink

    

    For real-time data streaming and analysis, tools like Apache Kafka and Apache Flink are popular choices.

11. Camunda BPM

    9 19 4,187 9.4 Java

    C7 CE enters EOL in October 2025. Please check out C8 https://github.com/camunda/camunda – Flexible framework for workflow and decision automation with BPMN and DMN. Integration with Quarkus, Spring, Spring Boot, CDI.

    

    To put everything together, you need platforms like Drools and Camunda to store the complex rule sets and logic that determine the success or failure of a due diligence attempt.

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