Seldon vs. TensorFlow Comparison


Seldon Seldon Technologies	TensorFlow	+	+
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About Deploy machine learning models at scale with more accuracy. Turn R&D into ROI with more models into production at scale, faster, with increased accuracy. Seldon reduces time-to-value so models can get to work faster. Scale with confidence and minimize risk through interpretable results and transparent model performance. Seldon Deploy reduces the time to production by providing production grade inference servers optimized for popular ML framework or custom language wrappers to fit your use cases. Seldon Core Enterprise provides access to cutting-edge, globally tested and trusted open source MLOps software with the reassurance of enterprise-level support. Seldon Core Enterprise is for organizations requiring: - Coverage across any number of ML models deployed plus unlimited users - Additional assurances for models in staging and production - Confidence that their ML model deployments are supported and protected.	About An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud 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 Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience MLOps teams that want to deploy machine learning models at scale with more accuracy	Audience Organizations interested in a powerful open source machine learning platform
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 Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. 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 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros TensorFlow is awesome for learning and executing machine learning, machine learning models, applications, and more. It's free and open source, and easy to get started. Cons Not much I don't like about TensorFlow. It's free and open source so how can you dislike it?
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 Seldon Technologies Founded: 2014 United Kingdom www.seldon.io	Company Information TensorFlow Founded: 2015 United States www.tensorflow.org
Alternatives BentoML	Alternatives Gemini Enterprise Agent Platform Google
Datatron	Amazon Rekognition Amazon
KServe	Amazon SageMaker Amazon
NVIDIA Triton Inference Server NVIDIA	Azure Machine Learning Microsoft
Gemini Enterprise Agent Platform Google View All	Kubeflow View All
Categories AI Inference Supported Artificial Intelligence Supported Machine Learning Supported ML Model Deployment Supported	Categories AI Development Supported AI/ML Model Training Supported Machine Learning Supported ML Experiment Tracking Supported ML Model Deployment Supported ML Model Management Supported Quantum Computing Supported
	Machine Learning Features Deep Learning Not Supported ML Algorithm Library Not Supported Model Training Supported Natural Language Processing (NLP) Not Supported Predictive Modeling Not Supported Statistical / Mathematical Tools Supported Templates Not Supported Visualization Supported
Integrations Apolo Supported Comet Supported Determined AI Supported Feast Supported Tecton Supported ZenML Supported Amazon EC2 P5 Instances Not Supported Amazon EC2 Trn1 Instances Not Supported ApertureDB Not Supported Cyfuture Cloud Not Supported DagsHub Not Supported Fuzzball Not Supported JAX Not Supported LiteRT Not Supported NVIDIA TensorRT Not Supported SynapseAI Not Supported TFLearn Not Supported Universal Sentence Encoder Not Supported Voxel51 Not Supported Yandex DataSphere Not Supported Show More Integrations View All 6 Integrations	Integrations Apolo Supported Comet Supported Determined AI Supported Feast Supported Tecton Supported ZenML Supported Amazon EC2 P5 Instances Supported Amazon EC2 Trn1 Instances Supported ApertureDB Supported Cyfuture Cloud Supported DagsHub Supported Fuzzball Supported JAX Supported LiteRT Supported NVIDIA TensorRT Supported SynapseAI Supported TFLearn Supported Universal Sentence Encoder Supported Voxel51 Supported Yandex DataSphere Supported Show More Integrations View All 193 Integrations
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