How to Develop a Credit Card Fraud Detection Application Using Memgraph, Flask, and D3.js

• pymgclient

  2 42 3.0 C

  Python Memgraph Client

  

FROM python:3.8 # Install CMake RUN apt-get update && \ apt-get --yes install cmake # Install mgclient RUN apt-get install -y git cmake make gcc g++ libssl-dev && \ git clone https://github.com/memgraph/mgclient.git /mgclient && \ cd mgclient && \ git checkout dd5dcaaed5d7c8b275fbfd5d2ecbfc5006fa5826 && \ mkdir build && \ cd build && \ cmake .. && \ make && \ make install # Install pymgclient RUN git clone https://github.com/memgraph/pymgclient /pymgclient && \ cd pymgclient && \ python3 setup.py build && \ python3 setup.py install # Install packages COPY requirements.txt ./ RUN pip3 install -r requirements.txt COPY card_fraud.py /app/card_fraud.py WORKDIR /app ENV FLASK_ENV=development ENV LC_ALL=C.UTF-8 ENV LANG=C.UTF-8 ENTRYPOINT ["python3", "card_fraud.py"]

• InfluxDB

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  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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