Using Google Magika to build an AI-powered file type detector

This page summarizes the projects mentioned and recommended in the original post on dev.to

InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com
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Stream - Scalable APIs for Chat, Feeds, Moderation, & Video.
Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
getstream.io
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  1. nextjs-magika

    Let's build a simple file upload component with Next.js to demonstrate how to integrate Magika into a React application for such use cases. You can check the full project code on GitHub and follow along as we build our project.

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. onnx

    Open standard for machine learning interoperability

    To perform fast inference at runtime, Magika uses the cross-platform Open Neural Network Exchange (ONNX) runtime. ONNX provides a method to optimize, accelerate, and deploy models built using any of the popular frameworks consistently, even across different hardware platforms or instruction set architectures.

  4. Keras

    Deep Learning for humans

    The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models.

  5. file-type

    Detect the file type of a file, stream, or data

    file-type is a lightweight library for checking file types based on the header. It’s designed to run in Node.js and browser environments and provides a simple way of detecting file types from Buffers, files on disk, streams, and Blobs.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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