Keepsake vs. MLflow Comparison


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Keepsake	MLflow
		Related Products Gemini platform Gemini platform is an enterprise AI development and machine learning platform from Google Cloud that enables organizations to build, customize, deploy, and manage AI agents and intelligent applications. Formerly known as Vertex AI, the platform provides access to more than 200 foundation models from Google, third-party providers, and open-source communities. Its Agent Studio and Agent Development Kit allow developers to create autonomous agents, design multistep workflows, and integrate artificial intelligence with enterprise data and external tools. The platform also supports custom model training, fine-tuning, machine learning pipelines, model evaluation, and scalable inference infrastructure. Enterprise capabilities include agent identity management, centralized governance, security policies, persistent memory, and monitoring tools for evaluating agent performance. 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Keepsake: 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.	MLflow: About MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components. Record and query experiments: code, data, config, and results. Package data science code in a format to reproduce runs on any platform. Deploy machine learning models in diverse serving environments. Store, annotate, discover, and manage models in a central repository. The MLflow Tracking component is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. MLflow Tracking lets you log and query experiments using Python, REST, R API, and Java API APIs. An MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running projects.
Keepsake: 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	MLflow: 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
Keepsake: Audience Developers in need of a tool to manage their code and enhance the efficiency of their workflows	MLflow: Audience Companies looking for an open source platform solution for the machine learning lifecycle
Keepsake: Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	MLflow: Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
Keepsake: API Offers API Supported	MLflow: API Offers API Supported
Keepsake: Screenshots and Videos View more images or videos	MLflow: Screenshots and Videos View more images or videos
Keepsake: Pricing Free Free Version Supported Free Trial Not Supported	MLflow: Pricing No information available. Free Version Not Supported Free Trial Not Supported
Keepsake: 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	MLflow: 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

Keepsake: Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	MLflow: Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Keepsake: Company Information Replicate United States keepsake.ai/	MLflow: Company Information MLflow Founded: 2018 United States mlflow.org
Keepsake: Alternatives Azure Machine Learning Microsoft	MLflow: Alternatives Union Cloud Union.ai
Keepsake: TensorBoard Tensorflow	MLflow: Amazon SageMaker Amazon
Keepsake: Flower	MLflow: Azure Machine Learning Microsoft
Keepsake: Weights & Biases	MLflow: Gemini platform Google 4.3 out of 5 stars
Keepsake: Google Cloud Deep Learning VM Image Google View All	MLflow: DVC iterative.ai View All
Keepsake: Categories Machine Learning Supported ML Experiment Tracking Supported Version Control Supported	MLflow: Categories AI Gateways Supported LLM Evaluation Supported Machine Learning Supported ML Experiment Tracking Supported ML Model Deployment Supported ML Model Management Supported

Keepsake: Integrations TensorFlow Supported Amazon S3 Supported Axolotl Not Supported Azure Machine Learning Not Supported Azure Marketplace Not Supported Determined AI Not Supported Docker Not Supported Google Cloud Platform Not Supported H2O.ai Not Supported Kubernetes Not Supported Microsoft 365 Not Supported Modulos AI Governance Platform Not Supported OpenMetadata Not Supported PyTorch Supported RapidSOS Not Supported Truthlocks Not Supported UbiOps Not Supported Unity Catalog Not Supported Vectice Not Supported navio Not Supported Show More Integrations View All 7 Integrations	MLflow: Integrations TensorFlow Supported Amazon S3 Not Supported Axolotl Supported Azure Machine Learning Supported Azure Marketplace Supported Determined AI Supported Docker Supported Google Cloud Platform Supported H2O.ai Supported Kubernetes Supported Microsoft 365 Supported Modulos AI Governance Platform Supported OpenMetadata Supported PyTorch Not Supported RapidSOS Supported Truthlocks Supported UbiOps Supported Unity Catalog Supported Vectice Supported navio Supported Show More Integrations View All 48 Integrations
Keepsake: Claim Keepsake and update features and information Claim Keepsake and update features and information	MLflow: Claim MLflow and update features and information Claim MLflow and update features and information