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pollster
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public |
A Python wrapper for the Pollster API
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2025-04-22 |
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zope.deprecation
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public |
Zope Deprecation Infrastructure
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2025-04-22 |
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venusian
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public |
A library for deferring decorator actions
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2025-04-22 |
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celery-eternal
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public |
Celery task subclass for jobs that should run forever
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2025-04-22 |
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translationstring
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public |
Utility library for i18n relied on by various Repoze and Pyramid packages
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2025-04-22 |
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pypubsub
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public |
A python publish-subscribe library
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2025-04-22 |
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dask-mpi
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public |
Deploy Dask using MPI4Py
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2025-04-22 |
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dummydata
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public |
Dummy data generator producting netCDF files
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2025-04-22 |
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intake-cmip
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public |
Intake-cmip provides a plugin for reading CMIP5, and CMIP6 data using intake.
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2025-04-22 |
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ndcsv
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public |
N-Dimensional CSV files for xarray
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2025-04-22 |
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recursive_diff
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public |
Recursively compare two Python data structures
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2025-04-22 |
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pygff
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public |
GFF3 reader designed for educational use at the University of Michigan, Department of Computational Medicine & Bioinformatics
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2025-04-22 |
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rpdb
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public |
pdb wrapper with remote access via tcp socket
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2025-04-22 |
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hupper
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public |
Integrated process monitor for developing and reloading daemons.
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2025-04-22 |
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pyramid
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public |
The Pyramid Web Framework, a Pylons project
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2025-04-22 |
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filesystem-spec
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public |
A specification for pythonic filesystems
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2025-04-22 |
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plaster_pastedeploy
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public |
A loader implementing the PasteDeploy syntax to be used by plaster.
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2025-04-22 |
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plaster
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public |
A loader interface around multiple config file formats.
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2025-04-22 |
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r-lasso2
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public |
Routines and documentation for solving regression problems while imposing an L1 constraint on the estimates, based on the algorithm of Osborne et al. (1998).
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2025-04-22 |
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safe-netrc
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public |
Safe netrc file parser
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2025-04-22 |
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r-dppackage
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public |
Functions to perform inference via simulation from the posterior distributions for Bayesian nonparametric and semiparametric models. Although the name of the package was motivated by the Dirichlet Process prior, the package considers and will consider other priors on functional spaces. So far, DPpackage includes models considering Dirichlet Processes, Dependent Dirichlet Processes, Dependent Poisson- Dirichlet Processes, Hierarchical Dirichlet Processes, Polya Trees, Linear Dependent Tailfree Processes, Mixtures of Triangular distributions, Random Bernstein polynomials priors and Dependent Bernstein Polynomials. The package also includes models considering Penalized B-Splines. Includes semiparametric models for marginal and conditional density estimation, ROC curve analysis, interval censored data, binary regression models, generalized linear mixed models, IRT type models, and generalized additive models. Also contains functions to compute Pseudo-Bayes factors for model comparison, and to elicitate the precision parameter of the Dirichlet Process. To maximize computational efficiency, the actual sampling for each model is done in compiled FORTRAN. The functions return objects which can be subsequently analyzed with functions provided in the 'coda' package.
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2025-04-22 |
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weightedstats
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public |
Mean, weighted mean, median, weighted median
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2025-04-22 |
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pdblp
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public |
Bloomberg Open API with pandas
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2025-04-22 |
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pydda
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public |
Pythonic Direct Data Assimilation
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2025-04-22 |
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quart
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public |
A Python ASGI web microframework with the same API as Flask
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2025-04-22 |
