Datatron vs. Keepsake Comparison


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About Datatron offers tools and features built from scratch, specifically to make machine learning in production work for you. Most teams discover that there’s more to just deploying models, which is already a very manual and time-consuming task. Datatron offers single model governance and management platform for all of your ML, AI, and Data Science models in production. We help you automate, optimize, and accelerate your ML models to ensure that they are running smoothly and efficiently in production. Data Scientists use a variety of frameworks to build the best models. We support anything you’d build a model with ( e.g. TensorFlow, H2O, Scikit-Learn, and SAS ). Explore models built and uploaded by your data science team, all from one centralized repository. Create a scalable model deployment in just a few clicks. Deploy models built using any language or framework. Make better decisions based on your model performance.	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 Supported Cloud Supported On-Premises 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 Enterprises in search of a solution to automate and accelerate the management of their ML processes	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 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 Supported Live Online Supported In Person Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Datatron Founded: 2016 United States www.datatron.com/platform/	Company Information Replicate United States keepsake.ai/
Alternatives IBM Watson Studio IBM	Alternatives Azure Machine Learning Microsoft
Azure Machine Learning Microsoft	TensorBoard Tensorflow
scikit-learn	Flower
Keepsake Replicate	Weights & Biases
Fairly View All	Google Cloud Deep Learning VM Image Google View All
Categories AI Governance Supported Machine Learning Supported Model Risk Management Supported	Categories Machine Learning Supported ML Experiment Tracking Supported Version Control Supported

Integrations TensorFlow Supported Amazon S3 Not Supported Amazon Web Services (AWS) Supported Google Cloud Platform Supported Google Cloud Storage Not Supported H2O.ai Supported Hadoop Supported JSON Not Supported Microsoft Azure Supported MySQL Supported PostgreSQL Supported PyTorch Not Supported Python Not Supported SAS Asset Performance Analytics Supported Salesforce Supported Teradata VantageCloud Supported Wipro Promax Supported scikit-learn Not Supported Show More Integrations View All 12 Integrations	Integrations TensorFlow Supported Amazon S3 Supported Amazon Web Services (AWS) Not Supported Google Cloud Platform Not Supported Google Cloud Storage Supported H2O.ai Not Supported Hadoop Not Supported JSON Supported Microsoft Azure Not Supported MySQL Not Supported PostgreSQL Not Supported PyTorch Supported Python Supported SAS Asset Performance Analytics Not Supported Salesforce Not Supported Teradata VantageCloud Not Supported Wipro Promax Not Supported scikit-learn Supported Show More Integrations View All 7 Integrations
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