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

kombu | public | Messaging library for Python | 2020-01-22 |

python-blosc | public | A Python wrapper for the extremely fast Blosc compression library | 2020-01-22 |

xproperty | public | C++ properties and observer pattern | 2020-01-22 |

awscli | public | Universal Command Line Environment for AWS. | 2020-01-22 |

segno | public | Segno is a QR Code and Micro QR Code encoder which has no further dependencies. | 2020-01-22 |

astropy | public | Community-developed Python Library for Astronomy | 2020-01-22 |

datashader | public | Data visualization toolchain based on aggregating into a grid | 2020-01-22 |

boto3 | public | Amazon Web Services SDK for Python | 2020-01-22 |

hub | public | git + hub = github | 2020-01-22 |

botocore | public | Low-level, data-driven core of boto 3. | 2020-01-21 |

omas | public | Ordered Multidimensional Array Structure | 2020-01-21 |

conda-forge-pinning | public | The baseline versions of software for the conda-forge ecosystem | 2020-01-21 |

vaex | public | Lazy Out-of-core dataframes and visualization for large (~billion rows/objects) tabular datasets | 2020-01-21 |

conllu | public | CoNLL-U Parser parses a CoNLL-U formatted string into a nested python dictionary | 2020-01-21 |

nodejs | public | a platform for easily building fast, scalable network applications | 2020-01-21 |

vaex-core | public | Core of vaex | 2020-01-21 |

psfex | public | python and C codes to interpolate and reconstruct psfex images | 2020-01-21 |

r-threejs | public | Create interactive 3D scatter plots, network plots, and globes using the 'three.js' visualization library (<https://threejs.org>). | 2020-01-21 |

python-eccodes | public | ECMWF ecCodes Copyright 2017-2019 ECMWF. | 2020-01-21 |

fplll | public | Lattice algorithms using floating-point arithmetic | 2020-01-21 |

lumicks.pylake | public | Data analysis tools for Lumicks Bluelake | 2020-01-21 |

python-dotenv | public | Get and set values in your .env file in local and production servers like Heroku does. | 2020-01-21 |

r-idpmisc | public | The IDPmisc package contains different high-level graphics functions for displaying large datasets, displaying circular data in a very flexible way, finding local maxima, brewing color ramps, drawing nice arrows, zooming 2D-plots, creating figures with differently colored margin and plot region. In addition, the package contains auxiliary functions for data manipulation like omitting observations with irregular values or selecting data by logical vectors, which include NAs. Other functions are especially useful in spectroscopy and analyses of environmental data: robust baseline fitting, finding peaks in spectra. | 2020-01-21 |

r-catools | public | Contains several basic utility functions including: moving (rolling, running) window statistic functions, read/write for GIF and ENVI binary files, fast calculation of AUC, LogitBoost classifier, base64 encoder/decoder, round-off-error-free sum and cumsum, etc. | 2020-01-21 |

colorlog | public | Log formatting with colors! | 2020-01-21 |

r-rngwell | public | It is a dedicated package to WELL pseudo random generators, which were introduced in Panneton et al. (2006), ``Improved Long-Period Generators Based on Linear Recurrences Modulo 2'', ACM Transactions on Mathematical Software. But this package is not intended to be used directly, you are strongly __encouraged__ to use the 'randtoolbox' package, which depends on this package. | 2020-01-21 |

txaio | public | Compatibility API between asyncio/Twisted/Trollius | 2020-01-21 |

r-networkdynamic | public | Simple interface routines to facilitate the handling of network objects with complex intertemporal data. This is a part of the "statnet" suite of packages for network analysis. | 2020-01-21 |

r-qtlrel | public | This software provides tools for quantitative trait mapping in populations such as advanced intercross lines where relatedness among individuals should not be ignored. It can estimate background genetic variance components, impute missing genotypes, simulate genotypes, perform a genome scan for putative quantitative trait loci (QTL), and plot mapping results. It also has functions to calculate identity coefficients from pedigrees, especially suitable for pedigrees that consist of a large number of generations, or estimate identity coefficients from genotypic data in certain circumstances. | 2020-01-21 |

r-markovchain | public | Functions and S4 methods to create and manage discrete time Markov chains more easily. In addition functions to perform statistical (fitting and drawing random variates) and probabilistic (analysis of their structural proprieties) analysis are provided. | 2020-01-21 |

r-amap | public | Tools for Clustering and Principal Component Analysis (With robust methods, and parallelized functions). | 2020-01-21 |

r-sjstats | public | Collection of convenient functions for common statistical computations, which are not directly provided by R's base or stats packages. This package aims at providing, first, shortcuts for statistical measures, which otherwise could only be calculated with additional effort (like Cramer's V, Phi, or effect size statistics like Eta or Omega squared), or for which currently no functions available. Second, another focus lies on weighted variants of common statistical measures and tests like weighted standard error, mean, t-test, correlation, and more. | 2020-01-21 |

r-spacetime | public | Classes and methods for spatio-temporal data, including space-time regular lattices, sparse lattices, irregular data, and trajectories; utility functions for plotting data as map sequences (lattice or animation) or multiple time series; methods for spatial and temporal selection and subsetting, as well as for spatial/temporal/spatio-temporal matching or aggregation, retrieving coordinates, print, summary, etc. | 2020-01-21 |

r-survey | public | Summary statistics, two-sample tests, rank tests, generalised linear models, cumulative link models, Cox models, loglinear models, and general maximum pseudolikelihood estimation for multistage stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights. Post-stratification, calibration, and raking. Two-phase subsampling designs. Graphics. PPS sampling without replacement. Principal components, factor analysis. | 2020-01-21 |

r-bio3d | public | Utilities to process, organize and explore protein structure, sequence and dynamics data. Features include the ability to read and write structure, sequence and dynamic trajectory data, perform sequence and structure database searches, data summaries, atom selection, alignment, superposition, rigid core identification, clustering, torsion analysis, distance matrix analysis, structure and sequence conservation analysis, normal mode analysis, principal component analysis of heterogeneous structure data, and correlation network analysis from normal mode and molecular dynamics data. In addition, various utility functions are provided to enable the statistical and graphical power of the R environment to work with biological sequence and structural data. Please refer to the URLs below for more information. | 2020-01-21 |

r-randomforestsrc | public | Fast OpenMP parallel computing of Breiman's random forests for survival, competing risks, regression and classification based on Ishwaran and Kogalur's popular random survival forests (RSF) package. Handles missing data and now includes multivariate, unsupervised forests, quantile regression and solutions for class imbalanced data. New fast interface using subsampling and confidence regions for variable importance. | 2020-01-21 |

r-gstat | public | Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions; supports sf and stars. | 2020-01-21 |

calculix | public | 3D Structural Finite Element Program | 2020-01-21 |

opencv | public | Computer vision and machine learning software library. | 2020-01-21 |

tiledb-py | public | Python interface to the TileDB sparse and dense multi-dimensional array storage manager | 2020-01-21 |

deap | public | Distributed Evolutionary Algorithms in Python | 2020-01-21 |

r-desctools | public | A collection of miscellaneous basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'camel style' was consequently applied to functions borrowed from contributed R packages as well. | 2020-01-21 |

ruamel.yaml | public | A YAML package for Python. It is a derivative of Kirill Simonov's PyYAML 3.11 which supports YAML1.1 | 2020-01-20 |

autopep8 | public | A tool that automatically formats Python code to conform to the PEP 8 style guide | 2020-01-20 |

r-blob | public | R's raw vector is useful for storing a single binary object. What if you want to put a vector of them in a data frame? The 'blob' package provides the blob object, a list of raw vectors, suitable for use as a column in data frame. | 2020-01-20 |

r-tree | public | Classification and regression trees. | 2020-01-20 |

r-rmarkdown | public | Convert R Markdown documents into a variety of formats. | 2020-01-20 |

r-depmixs4 | public | Fits latent (hidden) Markov models on mixed categorical and continuous (time series) data, otherwise known as dependent mixture models, see Visser & Speekenbrink (2010, <DOI:10.18637/jss.v036.i07>). | 2020-01-20 |

flasgger | public | Easy Swagger UI for your Flask API | 2020-01-20 |

editdistance | public | Fast implementation of the edit distance(Levenshtein distance) | 2020-01-20 |

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