Python Libraries
Python Libraries is a structured technology dataset with 20 entries. Its fields include Library, Category. Community voting appears as a separate signal beside eligible rows and does not replace the source values.
Every row is shown below and is also available as CSV, JSON, or Excel.
Dataset details
- Table scope
- All 20 rows
- Fields
- 2 columns
- Source
- Not provided
- Data updated
- Not provided
Included fields: Library, Category.
The table contains every record in this dataset; the same records are available in each download format.
Preview observations
No reliable range or grouping can be calculated from the loaded rows without interpreting the source data.
Useful for
- Comparing Library and Category across technology entries
- Building reference tables, charts, or analyses from 20 downloadable records
Library↕ | Category↕ |
|---|---|
NumPy | Data Science |
Pandas | Data Science |
Django | Web Framework |
Flask | Web Framework |
FastAPI | Web Framework |
TensorFlow | Machine Learning |
PyTorch | Machine Learning |
Scikit-learn | Machine Learning |
Matplotlib | Visualization |
Requests | HTTP |
BeautifulSoup | Web Scraping |
SQLAlchemy | ORM |
Celery | Task Queue |
Pytest | Testing |
Scrapy | Web Scraping |
Pillow | Image Processing |
OpenCV | Computer Vision |
Keras | Deep Learning |
Seaborn | Visualization |
Streamlit | Data Apps |
Free to explore · No signup needed
Frequently asked questions
How is Python Libraries organized?
The table starts in the source data's order. Community voting is enabled as a separate approval signal beside eligible rows; votes do not replace the source values.
How much data is available on this page?
This dataset contains 20 entries, and every row is available in the table and in the downloadable files.
Can I download the complete dataset?
Yes. CSV, JSON, and Excel downloads contain all 20 rows. Before republishing the data, review the source and any usage terms listed on this page; dtbse does not replace the original source's licensing terms.
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