Azure Machine Learning vs. Keepsake Comparison


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About Accelerate the end-to-end machine learning lifecycle with Azure Machine Learning Studio. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML. Productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning. Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.	About Keepsake is an open-source Python library designed to provide version control for machine learning experiments and models. It enables users to automatically track code, hyperparameters, training data, model weights, metrics, and Python dependencies, ensuring that all aspects of the machine learning workflow are recorded and reproducible. Keepsake integrates seamlessly with existing workflows by requiring minimal code additions, allowing users to continue training as usual while Keepsake saves code and weights to Amazon S3 or Google Cloud Storage. This facilitates the retrieval of code and weights from any checkpoint, aiding in re-training or model deployment. Keepsake supports various machine learning frameworks, including TensorFlow, PyTorch, scikit-learn, and XGBoost, by saving files and dictionaries in a straightforward manner. It also offers features such as experiment comparison, enabling users to analyze differences in parameters, metrics, and dependencies across experiments.
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 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
Audience Data scientists, AI, and machine learning developers	Audience Developers in need of a tool to manage their code and enhance the efficiency of their workflows
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 Not Supported Free Trial 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 Microsoft Founded: 1975 United States azure.microsoft.com/en-us/products/machine-learning/	Company Information Replicate United States keepsake.ai/
Alternatives Gemini Enterprise Agent Platform Google	Alternatives Azure Machine Learning Microsoft
Amazon SageMaker Amazon	TensorBoard Tensorflow
Microsoft Foundry Microsoft	Flower
TensorFlow	Weights & Biases
Huawei Cloud ModelArts Huawei Cloud View All	Google Cloud Deep Learning VM Image Google View All
Categories AI Development Supported AI Governance Supported AI Infrastructure Supported Data Labeling Supported Machine Learning Supported ML Experiment Tracking Supported ML Model Deployment Supported ML Model Management Supported	Categories Machine Learning Supported ML Experiment Tracking Supported Version Control Supported
Machine Learning Features Deep Learning Not Supported ML Algorithm Library Not Supported Model Training Not Supported Natural Language Processing (NLP) Not Supported Predictive Modeling Supported Statistical / Mathematical Tools Not Supported Templates Not Supported Visualization Not Supported Show More Features Data Labeling Features Human-in-the-loop Supported Labeling Automation Supported Labeling Quality Supported Performance Tracking Supported Polygon, Rectangle, Line, Point Supported SDK Supported Supports Audio Files Supported Task Management Supported Team Collaboration Supported Training Data Management Supported
Integrations APERIO DataWise Supported Amazon S3 Not Supported Azure AI Search Supported Azure Kinect DK Supported Azure Marketplace Supported Azure Percept Supported BotCore Supported Evvox Supported JSON Not Supported MLflow Supported Microsoft Azure Supported Microsoft Intelligent Data Platform Supported NVIDIA Triton Inference Server Supported New Relic Supported Omnisient Supported Python Not Supported Slingshot Supported Superwise Supported Visual Studio Code Supported scikit-learn Not Supported Show More Integrations View All 23 Integrations	Integrations APERIO DataWise Not Supported Amazon S3 Supported Azure AI Search Not Supported Azure Kinect DK Not Supported Azure Marketplace Not Supported Azure Percept Not Supported BotCore Not Supported Evvox Not Supported JSON Supported MLflow Not Supported Microsoft Azure Not Supported Microsoft Intelligent Data Platform Not Supported NVIDIA Triton Inference Server Not Supported New Relic Not Supported Omnisient Not Supported Python Supported Slingshot Not Supported Superwise Not Supported Visual Studio Code Not Supported scikit-learn Supported Show More Integrations View All 7 Integrations
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