Curated Python Libraries for Data and Machine Learning

Awesome Python is a hand-picked collection of Python libraries, emphasizing data and machine learning resources. The dataset was created by dylanhogg and was last updated on January 31, 2024. The exact size and number of entries are not specified.

Use Cases

• Categorize libraries by their primary function using metadata like library_name and category fields.
• Analyze trends in Python tooling by examining tags or keywords associated with each entry.
• Build a recommendation system for developers by linking library features to project requirements described in the dataset.

Strengths

• Collection is hand-curated, implying a qualitative selection process.
• Dataset was updated in January 2024, indicating recent maintenance.

Limitations

• The total number of rows (libraries) and available columns are unknown.
• The selection criteria and potential biases in the curation process are not documented.

Provenance

Source

https://www.awesomepython.org/

Collection Method

Hand-picked curation.

Freshness

Last updated on 2024-01-31.