pip install dscribe==1.1.0
A Python package for creating feature transformations in applications of machine learning to materials science.
SourceAmong top 50% packages on PyPI.
Over 4.0K downloads in the last 90 days.
dscribe
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
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Send file to trash natively under Mac OS X, Windows and Linux. |
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Python client for the Prometheus monitoring system. |
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Utilities for writing pandoc filters in python |
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Test utilities for code working with files and commands |
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JupyterLab Server |
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Discover and load entry points from installed packages. |
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IPython HTML widgets for Jupyter |
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Machine Learning Evaluation Metrics |
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A Python toolkit for handling annotated data |
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Emacs-style keybindings for the Jupyter notebook |
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Jupyter metapackage. Install all the Jupyter components in one go. |
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A python library for the Bayesian dynamic linear model for time series modeling |
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A pandoc filter to shift the level of all headers in a latex/pdf output |
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A pandoc filter for adding admonition in LaTeX |
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A pandoc filter to insert barcodes and QR codes in a latex/pdf document |
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A pandoc filter that enforces the Dalibo Writing Guidelines |
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Pandoc filter to provide minted support (github.com/nick-ulle/pandoc-minted) |
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IPython HTML widgets for Jupyter |
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Local Interpretable Model-Agnostic Explanations for machine learning classifiers |
dscribeProportion of downloaded versions in the last 3 months (only versions over 1%).
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1.1.0 |
43.68% |
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0.4.0 |
7.78% |
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1.0.0 |
7.33% |
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0.3.5 |
6.11% |
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0.2.7 |
2.34% |
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0.2.9 |
2.15% |
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0.3.2 |
2.02% |
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0.3.4 |
2.00% |
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0.2.8 |
1.97% |
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0.1.8 |
1.95% |
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0.1.0 |
1.95% |
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0.2.6 |
1.95% |
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0.2.3 |
1.92% |
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0.2.1 |
1.92% |
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0.2.4 |
1.90% |
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0.2.5 |
1.90% |
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0.2.2 |
1.90% |
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0.1.3 |
1.87% |
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0.1.1 |
1.85% |
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0.1.4 |
1.85% |
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0.1.2 |
1.85% |
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0.1.5 |
1.85% |