Drastically decrease the size of your Docker application

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  • refinery

    The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

  • Containers are amazing for building applications. Because they allow you to pack up a programm together with all it's dependencies and execute it wherever you like. That is why our application consists of 20+ individual containers, forming our data-centric IDE for NLP, which you can check out here: https://github.com/code-kern-ai/refinery.

  • hub-feedback

    Feedback and bug reports for the Docker Hub

  • There are many parent images you could choose. You can check them out at https://hub.docker.com/. Most of our containers used the python:3.9 parent image. This image comes with a full Python installation build on top of Linux. Technically, this is just fine for what we do. Thing is, the image alone is 865 MB large, at lease for the amd64 architecture.

  • InfluxDB

    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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