Software Alternatives & Reviews

Model Zoo

Deploy your machine learning model in a single line of code. subtitle

Model Zoo Alternatives

The best Model Zoo alternatives based on verified products, community votes, reviews and other factors.
Latest update:

  1. /machine-box-alternatives

    Run, deploy & scale state of the art machine learning tech

  2. /xano-alternatives

    Xano is the fastest way to build a scalable backend for your App using No Code.

  3. Try for free

    Work smarter, not harder. Save 1 day/week with free customizable workflows. Get access to 40+ workflow templates such as Employee Recognition & Engagement. Simplify your day-to-day workflows, increase team productivity & add simplicity to your work.

    Try for free freemium

  4. /qualdo-alternatives

    Monitor mission-critical data quality & ML issues and drifts

  5. /monitor-ml-alternatives

    Real-time production monitoring of ML models, made simple.

  6. /cortex-alternatives

    Cortex is an AI-powered solution to optimize content marketing strategies.

  7. /human-or-company-alternatives

    AI-powered API to classify a Twitter username

  8. /tensorflow-alternatives

    TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

    Open Source

  9. /tensorflow-lite-alternatives

    Low-latency inference of on-device ML models

  10. /zeroqode-alternatives

    Build your app up to 10x faster with no-code app templates

  11. /lobe-alternatives

    Visual tool for building custom deep learning models

    Open Source

  12. /lightly-ai-alternatives

    Improve your machine learning models by using the right data

  13. /qovery-alternatives

    Create production-like environments in your AWS account; Compatible with all your AWS services!

    Open Source free $1.0 / Monthly ($49 per user per month )

  14. /evidently-ai-alternatives

    Open-source monitoring for machine learning models

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