Software Alternatives & Reviews


Machine learning (ML) application building platform

Hopsworks Alternatives

The best Hopsworks alternatives based on verified products, community votes, reviews and other factors.

  1. Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

    Open Source

  2. Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

    Open Source freemium

  3. Ensure healthy website performance, uptime, and free from vulnerabilities. Automatic checks for SSL Certificates, domains and monitor issues with your websites all from one console and get instant notifications on any issues.

    Try for free freemium $9.0 / Monthly (Lite plan)

  4. Machine Learning Operationalization

  5. Deep Learning and AI accessible to everyone

  6. Developer tools for deep learning research

  7. Datatron automates the deployment, monitoring, governance, and validation of your machine learning models in scikit-learn, TensorFlow, Keras, Pytorch, R, H20 and SAS

  8. Machine Learning Operationalization

  9. The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.

  10. Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.

  11. Datmo tools help power up your existing model workflow. A new standard built by data scientists, for data scientists.

  12. Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.

  13. Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

  14. Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.

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