Comments (2)
Thank you very much for the notice. Indeed, some of the current contributors have observed this as well and this task is now added (with a high-priority label) to our to-do list. popmon
is useful for both data scientists (e.g. exploratory analysis) and engineers (e.g. data stability/consistency) - we will be trying to communicate that as clearly as possible.
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We have worked on improving the documentation and presentation of the package in the last releases, as well as, added more visual content explaining the purpose of the package (more things in the pipeline). Let's consider this issue closed for now.
Please let us know if you have any other suggestions on how to improve the understandability of the package's purpose for the broader audience.
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Related Issues (20)
- overview of alerts per feature
- CDN option for Js imports
- Include diptest to profiles
- Histogram juxtaposition
- Group comparisons per reference in report
- Ensure date/datetime representation in plots for Spark when providing Timestamp HOT 1
- Error with pydantic when using some custom settings in the report generation HOT 3
- Error: cannot import name 'Report' from 'popmon.config' HOT 4
- Histogram error on large floats HOT 1
- Dataset and analysis summary in report overview
- Decimal type support HOT 1
- Apply Ruff to popmon HOT 1
- Metrics pipeline (erroneously) overwrites reference type to "self" HOT 4
- Error when I try to stitch histograms HOT 4
- [Question] Hourly data pipelines HOT 3
- Pydantic is not pinned in pyproject.toml or requirements.txt HOT 2
- html report doesn't display any graphs HOT 3
- StabilityReport only calculated with metrics specified in Report.show_stats HOT 1
- Fix warnings in CI build pipeline
- KeyError: 'date' on synthetic data HOT 7
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