Package Name | Access | Summary | Updated |
---|---|---|---|

dmf-chip | public | Digital microfluidic chip tools | 2019-04-22 |

mpl_sample_data | public | Publication quality figures in Python | 2019-04-22 |

matplotlib | public | Publication quality figures in Python | 2019-04-22 |

matplotlib-base | public | Publication quality figures in Python | 2019-04-22 |

latlon23 | public | Methods for representing geographic coordinates | 2019-04-22 |

gsw | public | Gibbs SeaWater Oceanographic Package of TEOS-10 | 2019-04-22 |

mkl-service | public | Python hooks for Intel(R) Math Kernel Library runtime control settings. | 2019-04-22 |

ipypublish | public | A workflow for creating and editing publication ready scientific reports, from one or more Jupyter Notebooks | 2019-04-22 |

geocube | public | Tool to convert geopandas vector data into rasterized xarray data | 2019-04-22 |

rope | public | A python refactoring library | 2019-04-22 |

click_config_file | public | Configuration file support for click applications. | 2019-04-22 |

yews | public | Yews: Your Earthquake Waveform Solutions. | 2019-04-22 |

urllib3 | public | HTTP library with thread-safe connection pooling, file post, and more. | 2019-04-22 |

xpdsim | public | A simulation environment for experiments at the XPD beamline at NSLS-II | 2019-04-22 |

xpdan | public | Analysis Tools for XPD | 2019-04-22 |

xpdtools | public | Analysis Tools for XPD | 2019-04-22 |

xpdconf | public | Configuration for XPD beamlines | 2019-04-22 |

postgresql-plpython | public | The plpythonu postgresql extension | 2019-04-22 |

postgresql | public | PostgreSQL is a powerful, open source object-relational database system. | 2019-04-22 |

libpq | public | The postgres runtime libraries and utilities (not the server itself) | 2019-04-22 |

conda | public | OS-agnostic, system-level binary package and environment manager. | 2019-04-22 |

numpy | public | Array processing for numbers, strings, records, and objects. | 2019-04-22 |

pycoalescence | public | Spatially-explicit neutral ecology simulator using coalescence methods | 2019-04-22 |

r-mpmi | public | Uses a kernel smoothing approach to calculate Mutual Information for comparisons between all types of variables including continuous vs continuous, continuous vs discrete and discrete vs discrete. Uses a nonparametric bias correction giving Bias Corrected Mutual Information (BCMI). Implemented efficiently in Fortran 95 with OpenMP and suited to large genomic datasets. | 2019-04-22 |

r-genetics | public | Classes and methods for handling genetic data. Includes classes to represent genotypes and haplotypes at single markers up to multiple markers on multiple chromosomes. Function include allele frequencies, flagging homo/heterozygotes, flagging carriers of certain alleles, estimating and testing for Hardy-Weinberg disequilibrium, estimating and testing for linkage disequilibrium, ... | 2019-04-22 |

jsonextended | public | Extending the python json package functionality | 2019-04-22 |

r-fields | public | For curve, surface and function fitting with an emphasis on splines, spatial data and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance function parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get started and for an overview. The fields source code is deliberately commented and provides useful explanations of numerical details as a companion to the manual pages. The commented source code can be viewed by expanding source code version and looking in the R subdirectory. The reference for fields can be generated by the citation function in R and has DOI <doi:10.5065/D6W957CT>. | 2019-04-22 |

r-copula | public | Classes (S4) of commonly used elliptical, Archimedean, extreme value and some more copula families. Methods for density, distribution, random number generation, bivariate dependence measures, perspective and contour plots. Fitting copula models including variance estimates. | 2019-04-22 |

camelot-py | public | PDF Table Extraction for Humans. | 2019-04-22 |

r-jmv | public | A suite of common statistical methods such as descriptives, t-tests, ANOVAs, regression, correlation matrices, proportion tests, contingency tables, and factor analysis. This package is also useable from the 'jamovi' statistical spreadsheet (see <https://www.jamovi.org> for more information). | 2019-04-22 |

r-diagrammer | public | Build graph/network structures using functions for stepwise addition and deletion of nodes and edges. Work with data available in tables for bulk addition of nodes, edges, and associated metadata. Use graph selections and traversals to apply changes to specific nodes or edges. A wide selection of graph algorithms allow for the analysis of graphs. Visualize the graphs and take advantage of any aesthetic properties assigned to nodes and edges. | 2019-04-22 |

r-igraph | public | Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more. | 2019-04-22 |

r-infer | public | The objective of this package is to perform inference using an expressive statistical grammar that coheres with the tidy design framework. | 2019-04-22 |

rioxarray | public | rasterio xarray extension. | 2019-04-22 |

cms-md5 | public | Independent implementation of MD5 (RFC 1321). | 2019-04-22 |

python-clang | public | Python bindings for clang | 2019-04-22 |

r-rfpermute | public | Estimate significance of importance metrics for a Random Forest model by permuting the response variable. Produces null distribution of importance metrics for each predictor variable and p-value of observed. Provides summary and visualization functions for 'randomForest' results. | 2019-04-22 |

cppzmq | public | C++ bindings for 0MQ | 2019-04-22 |

xeus-cling | public | Cling-based C++ kernel for Jupyter based on xeus | 2019-04-22 |

xeus-python | public | Jupyter kernel for the Python programming language based on xeus | 2019-04-22 |

django-simple-history | public | Store model history and view/revert changes from admin site. | 2019-04-22 |

pymeasure | public | Scientific measurement library for instruments, experiments, and live-plotting. | 2019-04-21 |

ruamel.yaml | public | A YAML package for Python. It is a derivative of Kirill Simonov's PyYAML 3.11 which supports YAML1.1 | 2019-04-21 |

r-emmeans | public | Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and compact letter displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>. | 2019-04-21 |

r-splitstackshape | public | Online data collection tools like Google Forms often export multiple-response questions with data concatenated in cells. The concat.split (cSplit) family of functions splits such data into separate cells. The package also includes functions to stack groups of columns and to reshape wide data, even when the data are "unbalanced"---something which reshape (from base R) does not handle, and which melt and dcast from reshape2 do not easily handle. | 2019-04-21 |

numpydoc | public | Numpy's Sphinx extensions | 2019-04-21 |

grpcio-gcp | public | gRPC extensions for Google Cloud Platform | 2019-04-21 |

flask-appbuilder | public | Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. | 2019-04-21 |

r-randtoolbox | public | Provides (1) pseudo random generators - general linear congruential generators, multiple recursive generators and generalized feedback shift register (SF-Mersenne Twister algorithm and WELL generators); (2) quasi random generators - the Torus algorithm, the Sobol sequence, the Halton sequence (including the Van der Corput sequence) and (3) some generator tests - the gap test, the serial test, the poker test. See e.g. Gentle (2003) <doi:10.1007/b97336>. The package can be provided without the rngWELL dependency on demand. Take a look at the Distribution task view of types and tests of random number generators. Version in Memoriam of Diethelm and Barbara Wuertz. | 2019-04-21 |

brial | public | Brial - successor to PolyBoRi | 2019-04-21 |

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