https://github.com/lnxpy/pypi-prediction-examples

Notebook Examples: Plotting Python's packages' download rate predictions using MindsDB's AI power and PyPI handler
https://github.com/lnxpy/pypi-prediction-examples

Last synced: about 1 year ago
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Notebook Examples: Plotting Python's packages' download rate predictions using MindsDB's AI power and PyPI handler

• Host: GitHub
• URL: https://github.com/lnxpy/pypi-prediction-examples
• Owner: lnxpy
• Created: 2023-08-17T12:14:19.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2023-08-19T16:02:46.000Z (almost 3 years ago)
• Last Synced: 2025-01-17T08:45:13.169Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 182 KB
• Stars: 2
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
## PyPI Donwload Rate Prediction

With this implementation, you can predict the near future download-rate of your Python packages that are stored on PyPI's servers. Follow the steps on Jupyter Notebook ([example.ipynb](example.ipynb)) and predict your desired packages.

  Predicting the request's library download rate in the next 100 days:

  

![prediction](assets/prediction.png)

This prediction is based on [MindsDB's PyPI Handler](https://github.com/mindsdb/mindsdb/pull/7026).