pytrackmate
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public |
Import Trackmate XML files in Python as Pandas dataframe.
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2025-04-22 |
flake8-self
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public |
private member access linting plugin for flake8
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2025-04-22 |
eulxml
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public |
XPath-based XML data binding
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2025-04-22 |
python-bidi
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public |
Pure python implementation of the BiDi layout algorithm
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2025-04-22 |
trio_asyncio
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public |
A re-implementation of the asyncio mainloop on top of Trio
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2025-04-22 |
robotframework-seleniumlibrary
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public |
Web testing library for Robot Framework
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2025-04-22 |
robotstatuschecker
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public |
Tool for validating that executed Robot Framework test cases have expected
statuses and log messages.
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2025-04-22 |
vega3
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public |
IPyVega3: An IPython/Jupyter widget for Vega 3 and Vega-Lite 2
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2025-04-22 |
r-phylogeneticem
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public |
Implementation of the automatic shift detection method for Brownian Motion (BM) or Ornstein–Uhlenbeck (OU) models of trait evolution on phylogenies. Some tools to handle equivalent shifts configurations are also available. See Bastide et al. (2017) <doi:10.1111/rssb.12206> and Bastide et al. (2018) <doi:10.1093/sysbio/syy005>.
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2025-04-22 |
r-lexicon
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public |
A collection of lexical hash tables, dictionaries, and word lists.
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2025-04-22 |
r-kedd
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public |
Smoothing techniques and computing bandwidth selectors of the nth derivative of a probability density for one-dimensional data.
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2025-04-22 |
r-assertive
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public |
Lots of predicates (is_* functions) to check the state of your variables, and assertions (assert_* functions) to throw errors if they aren't in the right form.
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2025-04-22 |
r-assertive.datetimes
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public |
A set of predicates and assertions for checking the properties of dates and times. This is mainly for use by other package developers who want to include run-time testing features in their own packages. End-users will usually want to use assertive directly.
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2025-04-22 |
orch
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public |
Dep installation orchestrator for complex builds on CI
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2025-04-22 |
yacron
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public |
A modern Cron replacement that is Docker-friendly
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2025-04-22 |
apistar
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public |
API documentation, validation, mocking, and clients.
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2025-04-22 |
r-syuzhet
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public |
Extracts sentiment and sentiment-derived plot arcs from text using a variety of sentiment dictionaries conveniently packaged for consumption by R users. Implemented dictionaries include "syuzhet" (default) developed in the Nebraska Literary Lab "afinn" developed by Finn {\AA}rup Nielsen, "bing" developed by Minqing Hu and Bing Liu, and "nrc" developed by Mohammad, Saif M. and Turney, Peter D. Applicable references are available in README.md and in the documentation for the "get_sentiment" function. The package also provides a hack for implementing Stanford's coreNLP sentiment parser. The package provides several methods for plot arc normalization.
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2025-04-22 |
cfflib
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public |
Connectome File Format Library
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2025-04-22 |
visidata
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public |
A terminal interface for exploring and arranging tabular data.
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2025-04-22 |
rowan
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public |
Perform quaternion operations using numpy arrays
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2025-04-22 |
xpdconf
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public |
Configuration for XPD beamlines
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2025-04-22 |
r-tidyxl
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public |
Imports non-tabular from Excel files into R. Exposes cell content, position and formatting in a tidy structure for further manipulation. Tokenizes Excel formulas. Supports '.xlsx' and '.xlsm' via the embedded 'RapidXML' C++ library <http://rapidxml.sourceforge.net>. Does not support '.xlsb' or '.xls'.
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2025-04-22 |
r-textshape
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public |
Tools that can be used to reshape and restructure text data.
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2025-04-22 |
r-qdapregex
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public |
A collection of regular expression tools associated with the 'qdap' package that may be useful outside of the context of discourse analysis. Tools include removal/extraction/replacement of abbreviations, dates, dollar amounts, email addresses, hash tags, numbers, percentages, citations, person tags, phone numbers, times, and zip codes.
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2025-04-22 |
r-genlasso
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public |
Provides fast algorithms for computing the solution path for generalized lasso problems. Important use cases are the fused lasso over an arbitrary graph, and trend fitting of any given polynomial order. Specialized implementations for the latter two problems are given to improve stability and speed.
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2025-04-22 |