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openlibm
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public |
High quality system independent, portable, open source libm implementation
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2025-04-22 |
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django-modelcluster
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public |
Django extension to allow working with clusters of models as a single unit, independently of the database
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2025-04-22 |
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django-makemessages-xgettext
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public |
makemessages command that allows for arguments to be passed to xgettext.
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2025-04-22 |
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django-chunked-upload
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public |
Upload large files to Django in multiple chunks, with the ability to resume if the upload is interrupted.
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2025-04-22 |
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cssmin
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public |
A Python port of the YUI CSS compression algorithm.
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2025-04-22 |
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flask-turbolinks
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public |
Turbolinks for Flask.
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2025-04-22 |
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django-bootstrap3
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public |
Bootstrap 3 integration with Django.
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2025-04-22 |
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colour
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public |
Python color representations manipulation library (RGB, HSL, web, ...)
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2025-04-22 |
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libsass
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public |
A straightforward binding of libsass for Python. Compile Sass/SCSS in Python with no Ruby stack at all!
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2025-04-22 |
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passlib
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public |
comprehensive password hashing framework supporting over 30 schemes
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2025-04-22 |
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dnspython
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public |
DNS toolkit
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2025-04-22 |
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d2to1
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public |
Allows using distutils2-like setup.cfg files for a package's metadata with a distribute/setuptools setup.py
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2025-04-22 |
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r-mixtools
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public |
Analyzes finite mixture models for various parametric and semiparametric settings. This includes mixtures of parametric distributions (normal, multivariate normal, multinomial, gamma), various Reliability Mixture Models (RMMs), mixtures-of-regressions settings (linear regression, logistic regression, Poisson regression, linear regression with changepoints, predictor-dependent mixing proportions, random effects regressions, hierarchical mixtures-of-experts), and tools for selecting the number of components (bootstrapping the likelihood ratio test statistic, mixturegrams, and model selection criteria). Bayesian estimation of mixtures-of-linear-regressions models is available as well as a novel data depth method for obtaining credible bands. This package is based upon work supported by the National Science Foundation under Grant No. SES-0518772 and the Chan Zuckerberg Initiative: Essential Open Source Software for Science (Grant No. 2020-255193).
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2025-04-22 |
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ipaddr
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public |
Google's Python IP address manipulation library
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2025-04-22 |
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intervals
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public |
Python tools for handling intervals (ranges of comparable objects).
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2025-04-22 |
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infinity
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public |
All-in-one infinity value for Python. Can be compared to any object.
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2025-04-22 |
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r-fftwtools
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public |
Provides a wrapper for several 'FFTW' functions. This package provides access to the two-dimensional 'FFT', the multivariate 'FFT', and the one-dimensional real to complex 'FFT' using the 'FFTW3' library. The package includes the functions fftw() and mvfftw() which are designed to mimic the functionality of the R functions fft() and mvfft(). The 'FFT' functions have a parameter that allows them to not return the redundant complex conjugate when the input is real data.
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2025-04-22 |
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streamz
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public |
Manage streaming data, optionally with Dask and Pandas
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2025-04-22 |
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r-funr
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public |
A small utility which wraps Rscript and provides access to all R functions from the shell.
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2025-04-22 |
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r-flexclust
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public |
The main function kcca implements a general framework for k-centroids cluster analysis supporting arbitrary distance measures and centroid computation. Further cluster methods include hard competitive learning, neural gas, and QT clustering. There are numerous visualization methods for cluster results (neighborhood graphs, convex cluster hulls, barcharts of centroids, ...), and bootstrap methods for the analysis of cluster stability.
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2025-04-22 |
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r-fastmatch
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public |
Package providing a fast match() replacement for cases that require repeated look-ups. It is slightly faster that R's built-in match() function on first match against a table, but extremely fast on any subsequent lookup as it keeps the hash table in memory.
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2025-04-22 |
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r-exactranktests
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public |
Computes exact conditional p-values and quantiles using an implementation of the Shift-Algorithm by Streitberg & Roehmel.
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2025-04-22 |
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r-dunn.test
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public |
Computes Dunn's test (1964) for stochastic dominance and reports the results among multiple pairwise comparisons after a Kruskal-Wallis test for stochastic dominance among k groups (Kruskal and Wallis, 1952). The interpretation of stochastic dominance requires an assumption that the CDF of one group does not cross the CDF of the other. 'dunn.test' makes k(k-1)/2 multiple pairwise comparisons based on Dunn's z-test-statistic approximations to the actual rank statistics. The null hypothesis for each pairwise comparison is that the probability of observing a randomly selected value from the first group that is larger than a randomly selected value from the second group equals one half; this null hypothesis corresponds to that of the Wilcoxon-Mann-Whitney rank-sum test. Like the rank-sum test, if the data can be assumed to be continuous, and the distributions are assumed identical except for a difference in location, Dunn's test may be understood as a test for median difference. 'dunn.test' accounts for tied ranks.
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2025-04-22 |
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interlap
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public |
interlap: fast, simple interval overlap testing
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2025-04-22 |
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atk
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public |
Accessibility Toolkit.
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2025-04-22 |
