F
licenseNot graded
qualityD
maintenanceEnables users to preprocess, analyze, and visualize CSV data through comprehensive tools for data manipulation, statistical analysis, and graph generation.
3
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Kaggle Dataset Analyst
by Bert305
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TDQS
A4.3/5.0
Scored across 8 tools
Disambiguation5/5
Each tool targets a distinct action: listing datasets, profiling, missing values, plotting, training, listing models, predicting, and downloading. There is no overlap or ambiguity between them.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern in snake_case (e.g., list_datasets, train_model). The single exception is 'predict' (verb only), but it remains stylistically consistent.
Tool Count5/5
With 8 tools, the set is well-scoped for a Kaggle analyst workflow. Each tool earns its place, covering data acquisition, exploration, model training, and prediction without unnecessary bloat.
Completeness4/5
The toolset covers the full lifecycle from downloading to profiling to modeling to predicting. Minor gaps exist, such as no explicit data cleaning tool (though train_model's pipeline handles imputation/encoding) and no model deletion, but these are not critical for the intended purpose.
Maintenance
ActivityMaintained
ResponsivenessNo issues