MLOps Tools Comparison
Comments focus on comparing a featured MLOps tool to alternatives like MLflow, Metaflow, Seldon, Kubeflow, and cloud services such as SageMaker or Azure ML, discussing features for ML pipelines, deployment, and productionization.
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Never actually used it, but possibly dotscience.com might do something like what you want?
Looks interesting, is there a similarity with MLflow from Data bricks?
How is it different from MLFlow? the recent MLFlow pipeline, does it has any similarities?
Anyone wanna compare this to Seldon, Ray, MLflow, etc?
What are the current open source alternatives to MLflow?
Can you talk about how your product is different from Databricks MLFlow?
Is this a competitor to bigquery autoML or to something like kubeflow?
You might like Cog. It solves these problems for ML projects in specific.
Similar spirit: https://photon-ai.com/explorerhowever, PhotonAI focusses on ML pipelines. any other software known for doing similar stuff?
MLOps template with examples for Data pipelines, ML workflow management, API development and Monitoring.