Simple Code Integration

Our simple Python integration combines with a 2024-ready UI that lets you easily see everything in your ETL and pin down critical data drift at scale.

We created Useful to streamline ETL and data drift resolution without sacrificing deployment pace or spending time test writing.

At a glimpse, Useful encompasses:

• Anomaly detection on your Python code
• Automated ETL testing and notifications
• Observability across all code changes, argument changes, and workflows within your ETL
• Comparisons of new ETL developments against production runs
• … and much more (see our project on Github)

Rich Observability

Every time your code runs, Useful logs your functions’ information, allowing you to observe each function’s behavior through its interface.

Utilize the interface to explore statistics in depth, collaborate with your team to troubleshoot anomalous data, and save important statistics with bookmarks and notifications.

• Runtime statistics of the function
• Statistics of the function’s return, auto-adapting to the return dtype of the function
• Code and arguments fed to the function
• Where the function is within the traceback to define a bullet-proof function hierarchy
• Git information and workflow placement of jobs

Then, behind the scenes, thousands of statistics are processed every second to identify anomalies and share results in the Useful dashboard.