BentoML vs. luminoth Comparison


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About Serve your ML model in any cloud in minutes. Unified model packaging format enabling both online and offline serving on any platform. 100x the throughput of your regular flask-based model server, thanks to our advanced micro-batching mechanism. Deliver high-quality prediction services that speak the DevOps language and integrate perfectly with common infrastructure tools. Unified format for deployment. High-performance model serving. DevOps best practices baked in. The service uses the BERT model trained with the TensorFlow framework to predict movie reviews' sentiment. DevOps-free BentoML workflow, from prediction service registry, deployment automation, to endpoint monitoring, all configured automatically for your team. A solid foundation for running serious ML workloads in production. Keep all your team's models, deployments, and changes highly visible and control access via SSO, RBAC, client authentication, and auditing logs.	About Luminoth is an open source toolkit for computer vision. Currently, we support object detection, but we are aiming for much more. : Luminoth is still alpha-quality release, which means the internal and external interfaces (such as command line) are very likely to change as the codebase matures. . If you want GPU support, you should install the GPU version of TensorFlow with pip install tensorflow-gpu, or else you can use the CPU version using pip install tensorflow. Luminoth can also install TensorFlow for you if you install it with pip install luminoth[tf] or pip install luminoth[tf-gpu], depending on the version of TensorFlow you wish to use.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Companies, professionals and developers in search of a solution to simplify model deployment	Audience Computer vision toolkit solution for developers
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing Free Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information BentoML United States www.bentoml.com	Company Information luminoth pypi.org/project/luminoth/
Alternatives Domino Enterprise AI Platform Domino Data Lab	Alternatives TensorBoard Tensorflow
NVIDIA Triton Inference Server NVIDIA	TF-Agents Tensorflow
Azure Machine Learning Microsoft	TFLearn
Huawei Cloud ModelArts Huawei Cloud	Google Cloud Deep Learning VM Image Google
Amazon SageMaker Amazon View All	LiteRT Google View All
Categories AI Development Supported AI Infrastructure Supported Machine Learning Supported ML Model Deployment Supported	Categories Component Libraries Supported

Integrations TensorFlow Supported Amazon EC2 Supported Amazon SageMaker Supported Amazon Web Services (AWS) Supported Apache Airflow Supported Azure Container Registry Supported Docker Supported GitHub Not Supported Google Cloud AutoML Not Supported Google Cloud Platform Not Supported Google Cloud Run Supported Google Compute Engine Supported H2O.ai Supported Keras Supported Kubernetes Supported Prometheus Supported PyTorch Supported Python Not Supported Swagger Supported ZenML Supported Show More Integrations View All 23 Integrations	Integrations TensorFlow Supported Amazon EC2 Not Supported Amazon SageMaker Not Supported Amazon Web Services (AWS) Not Supported Apache Airflow Not Supported Azure Container Registry Not Supported Docker Not Supported GitHub Supported Google Cloud AutoML Supported Google Cloud Platform Supported Google Cloud Run Not Supported Google Compute Engine Not Supported H2O.ai Not Supported Keras Not Supported Kubernetes Not Supported Prometheus Not Supported PyTorch Not Supported Python Supported Swagger Not Supported ZenML Not Supported Show More Integrations View All 5 Integrations
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