pip install serenata-toolbox==15.1.6

Toolbox for Serenata de Amor project

Source
Among top 50% packages on PyPI.
Over 4.0K downloads in the last 90 days.

Commonly used with serenata-toolbox

Based on how often these packages appear together in public requirements.txt files on GitHub.

progressor

A visually appealing progress bar for long lasting computations.

quick-server

QuickServer is a quick to use and easy to set up server implementation.

knnimpute

k-Nearest Neighbor imputation

profanity-check

A fast, robust library to check for offensive language in strings.

brutils

Provides validation and other tools for Brazilian document numbers.

access_points

Scan your WiFi and get access point information and signal quality.

ad3

Alternating Directions Dual Decomposition

segeval

A package providing text segmentation evaluation metrics and utilities

reveal-user-annotation

Utility methods for generating labels for Twitter users and handling their storage and retrieval

reveal-graph-embedding

Implementation of community-based graph embedding for user classification.

sematch

Semantic similarity framework for knowledge graphs

xxh

Python bindings for xxhash non-cryptographic hash algorithm

metrohash

Python bindings for MetroHash, a fast non-cryptographic hash algorithm

knockknock

Be notified when your training is complete with only two additional lines of code

libpysal

Core components of PySAL A library of spatial analysis functions.

autodmri

Implementation of "Automated characterization of noise distributions in diffusion MRI data".

rouge

Full Python ROUGE Score Implementation (not a wrapper)

yacs

Yet Another Configuration System

imolecule

View molecules in the IPython notebook.

Version usage of serenata-toolbox

Proportion of downloaded versions in the last 3 months (only versions over 1%).

15.1.6

5.87%

15.1.4

3.80%

15.1.5

3.70%

12.3.2

2.95%

12.4.3

2.95%

15.1.2

2.92%

12.1.4

2.92%

15.0.0

2.90%

12.2.1

2.90%

15.0.4

2.90%

12.4.2

2.87%

15.1.0

2.87%

15.0.3

2.87%

12.2.2

2.85%

15.1.3

2.82%

14.0.3

2.80%

14.0.1

2.80%

15.0.1

2.77%

12.4.4

2.75%

15.0.5

2.75%

13.0.0

2.75%

12.1.0

2.72%

14.0.2

2.72%

12.3.3

2.72%

15.0.2

2.72%

12.4.1

2.72%

14.0.0

2.72%

12.0.7

2.70%

12.4.0

2.70%

12.1.5

2.67%

12.0.5

2.67%

12.1.3

2.65%

12.0.4

2.62%

15.1.1

1.50%

12.2.0

1.45%