fg-data-profiling
One line of code exploratory data analysis and data quality reports for Pandas and Spark.
Generate comprehensive HTML and JSON exploratory data analysis reports with a single function call.
fg-data-profiling generates extended data quality and exploratory reports for Pandas and Spark DataFrames with one line of code. It suits data scientists and analysts who need to automate data auditing, missing value detection, and visual correlations.
O que é
The package automatically infers data types, detects data quality issues and warnings, and runs univariate and multivariate analyses including time-series statistics and text metrics. You can export these reports directly to HTML files, interactive Jupyter widgets, or JSON for automated pipeline integration.
Para quem
Suits data professionals working in Python or Spark environments who want to bypass manual EDA plotting. It is not designed for non-technical users who require a graphical database user interface without writing code.
Recursos principais
Type Inference
Automatic detection of categorical, numerical, date, and other column data types.
Data Quality Warnings
Summarizes missing data, inaccuracies, skewness, and constant values automatically.
Time-Series Analysis
Provides auto-correlation, seasonality insights, along with ACF and PACF plots.
Dataset Comparison
Generates a fast and complete comparison report between two different dataset versions.
Pronto em 3 passos
Nosso veredito honesto
Pontos fortes
- Generates extensive multi-section reports from a single line of Python code.
- Supports both Pandas DataFrames and Spark for scaling up analysis.
- Exports clean HTML reports that can be easily shared with stakeholders.
- Includes specialized text, image, and time-series profiling metrics.
Onde deixa a desejar
- Renamed from ydata-profiling, requiring codebase import updates and uninstallation.
- Large datasets require explicit configuration tuning and memory preparation.
- Running heavy profiling operations locally can consume significant CPU and RAM.
Preços & licença
Free under its MIT license, with the only cost being the compute resources required to run the Python environment and process your datasets.
Vagas para quem fala português
879 vagas remotas abertas de treinamento de IA, atualizadas em 15 de novembro de 2026; a maioria paga $20–$175 por hora. 8 delas pedem falantes de português. O Zekai lista de graça; a candidatura vai para a plataforma do empregador.
Alternativas
Use, ou deixe que a gente configure
FAQ
How do I migrate from the old package name?
Uninstall ydata-profiling, install fg-data-profiling, and update your code imports from ydata_profiling to data_profiling.
Can I export the report to formats other than HTML?
Yes, you can export reports to JSON format or render them directly as interactive widgets inside Jupyter Notebooks.
