What is Artifact Management?
What does 'Artifact Management' mean?
Storing and cataloguing the outputs a machine learning workflow produces, such as trained model files, checkpoints, evaluation reports, plots and processed data. Each artifact is versioned and linked back to the run, code and inputs that created it, so it can be traced, compared or promoted to production later. It keeps important outputs out of ad-hoc folders and laptops, where they tend to be lost or overwritten.
List of software with Artifact Management functionality
About the reviewer
Rajat Gupta is the founder of Spotsaas. Over the past two years, he has reviewed 2,000+ tools across CRM, HR, AI, and finance — applying hands-on product research and a background in commerce and the CFA program to evaluate software through a business and ROI lens. His goal: help teams make software decisions they won't regret.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].