filoma recommends using ydata-profiling to generate a report for a given dataframe. Below is an example of how to do this in a Jupyter notebook.
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!uv pip install ydata-profiling ipywidgets ipympl setuptools --upgrade
Using Python 3.11.11 environment at: /home/kalfasy/repos/filoma/.venv Resolved 70 packages in 272ms Audited 70 packages in 0.05ms
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%reset -f
%load_ext autoreload
%autoreload 2
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import filoma
df = filoma.probe_to_df("../")
df = df.filter(df["suffix"] == ".py")
2025-09-13 20:56:48.545 | DEBUG | filoma.directories.directory_profiler:__init__:343 - Interactive environment detected, disabling progress bars to avoid conflicts 2025-09-13 20:56:48.545 | INFO | filoma.directories.directory_profiler:probe:430 - Starting directory analysis of '../' using 🐍 Python implementation 2025-09-13 20:56:49.191 | SUCCESS | filoma.directories.directory_profiler:probe:446 - Directory analysis completed in 0.65s - Found 44,134 items (40,782 files, 3,352 folders) using 🐍 Python
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from ydata_profiling import ProfileReport
profile = ProfileReport(df.to_pandas(), title="Filoma Report");
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Improve your data and profiling with ydata-sdk, featuring data quality scoring, redundancy detection, outlier identification, text validation, and synthetic data generation.
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profile
Summarize dataset: 0%| | 0/5 [00:00<?, ?it/s]
100%|██████████| 18/18 [00:00<00:00, 101.71it/s]
Generate report structure: 0%| | 0/1 [00:00<?, ?it/s]
Render HTML: 0%| | 0/1 [00:00<?, ?it/s]
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