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by esafak 1135 days ago
I realize it is primitive today, but how is it eventually going to be different or better than aporia, arize, arthur, dioptra, evidently, gantry, graphsignal, guardrails, metaplane, superwise, uptrain, whylogs, etc. ?

A comparison table on your site would help.

1 comments

Comparison table is a great idea - we will add.

We noticed that the industry is laser-focused on tackling feature drift after production, but we spotted a gap. Most ML teams are wrestling with model validation even before anything is deployed in production. We also noticed that post-deployment analysis sometimes misses the mark, lacking components like identifying underperforming cohorts or giving actionable insights. This leads to a barrage of alerts and the inevitable alert fatigue.

We decided to start Openlayer to offer a more holistic solution that helps teams from the ML development and experiment tracking phase to more advanced tasks like monitoring and fairness. We established a strong baseline with this launch and are now building several features on top.

Stay tuned!