Sieve vs. TensorFlow Comparison


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About Build better AI with multiple models. AI models are a new kind of building block. Sieve is the easiest way to use these building blocks to understand audio, generate video, and much more at scale. State-of-the-art models in just a few lines of code, and a curated set of production-ready apps for many use cases. Import your favorite models like Python packages. Visualize results with auto-generated interfaces built for your entire team. Deploy custom code with ease. Define your environment compute in code, and deploy with a single command. Fast, scalable infrastructure without the hassle. We built Sieve to automatically scale as your traffic increases with zero extra configuration. Package models with a simple Python decorator and deploy them instantly. A full-featured observability stack so you have full visibility of what’s happening under the hood. Pay only for what you use, by the second. Gain full control over your costs.	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 Anyone seeking a solution providing a set of APIs and the infrastructure to develop and generate video and audio AI	Audience Organizations interested in a powerful open source machine learning platform
Support Phone Support Not Supported 24/7 Live Support Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $20 per month 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 Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Sieve www.sievedata.com	Company Information TensorFlow Founded: 2015 United States www.tensorflow.org
Alternatives Steamship	Alternatives Gemini Enterprise Agent Platform Google
Flowise Flowise AI	Amazon Rekognition Amazon
RunInfra	Amazon SageMaker Amazon
TensorFlow	Azure Machine Learning Microsoft
Striveworks Chariot Striveworks View All	Kubeflow View All
Categories AI Development Supported AI Tools 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
	Show More Features 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 Python Supported AI Squared Not Supported Amazon EC2 UltraClusters Not Supported DagsHub Not Supported Deep.BI Not Supported DeepLearning.AI Not Supported Flower Not Supported LeaderGPU Not Supported MLReef Not Supported NVIDIA FLARE Not Supported NVIDIA TensorRT Not Supported Pavilion HyperOS Not Supported Quobyte Not Supported Radicalbit Not Supported Superwise Not Supported Unify AI Not Supported Yandex DataSphere Not Supported ZETIC.ai Not Supported teX.ai Not Supported Show More Integrations View All 2 Integrations	Integrations Python Supported AI Squared Supported Amazon EC2 UltraClusters Supported DagsHub Supported Deep.BI Supported DeepLearning.AI Supported Flower Supported LeaderGPU Supported MLReef Supported NVIDIA FLARE Supported NVIDIA TensorRT Supported Pavilion HyperOS Supported Quobyte Supported Radicalbit Supported Superwise Supported Unify AI Supported Yandex DataSphere Supported ZETIC.ai Supported teX.ai Supported Show More Integrations View All 193 Integrations
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