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View All on GitHubGPU-accelerated graph analytics and data science with a friendly face
AI Summary: This issue proposes making progress bars more dynamic by implementing a frontend timer that updates the ETA or progress count more frequently, even when backend telemetry updates are infrequent. This aims to provide a more responsive user experience for long-running operations.
GPU-accelerated graph analytics and data science with a friendly face
GPU-accelerated graph analytics and data science with a friendly face
GPU-accelerated graph analytics and data science with a friendly face
GPU-accelerated graph analytics and data science with a friendly face
GPU-accelerated graph analytics and data science with a friendly face
AI Summary: This issue proposes improving error messages displayed in the UI. Specifically, when a `KeyError` occurs due to an unset `table_name` parameter, the current UI only shows an empty string. The goal is to display more informative error messages, potentially including the exception type, similar to how the old LynxKite system handled it.
GPU-accelerated graph analytics and data science with a friendly face