pip install moss==0.5
Moss: statistical utilities for cognitive neuroscience.
SourceAmong top 50% packages on PyPI.
Over 3.8K downloads in the last 90 days.
moss
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
Python package for generating the Penn World Tables data set. |
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Gaussian graphical models for scikit-learn. |
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Stereonets for matplotlib |
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Client for dialog watson module |
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Python interface to JAGS library for Bayesian data analysis. |
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Library to parse JSON with js-style comments. |
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PGM rendering at its finest |
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Command Line Interface (CLI) and client to interact with Polyaxon API. |
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Analysis tools for genomic interaction data stored in .cool format |
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Simple, cross-platform interface for interacting with devices through a serial-port. |
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Common base class/API for embedded hardware devices. |
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Py++ is a framework of components for creating a C++ code generator using the Boost.Python library |
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Use evolutionary algorithms instead of gridsearch in scikit-learn. |
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Python package for stacking (machine learning technique) |
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LiPD utilities to process, convert, and analyze data. |
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Python module for time-frequency analysis. |
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None |
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Defines a %%cache cell magic in the IPython notebook to cache results of long-lasting computations in a persistentpickle file. |
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Matplotlib Jupyter Extension |
moss
Proportion of downloaded versions in the last 3 months (only versions over 1%).
0.5 |
72.83% |
0.4.2 |
3.66% |
0.4.1 |
3.56% |
0.3.4 |
3.11% |
0.3.3 |
3.08% |
0.3.2 |
3.08% |
0.3.1 |
3.03% |
0.2.0 |
2.98% |
0.3.0 |
2.93% |
0.1 |
1.74% |