conda-forge / packages

Package Name Access Summary Updated
jupyterhub public Multi-user server for Jupyter notebooks 2020-01-21
calculix public 3D Structural Finite Element Program 2020-01-21
omas public Ordered Multidimensional Array Structure 2020-01-21
opencv public Computer vision and machine learning software library. 2020-01-21
awscli public Universal Command Line Environment for AWS. 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
boto3 public Amazon Web Services SDK for Python 2020-01-21
botocore public Low-level, data-driven core of boto 3. 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
unyt public Handle, manipulate, and convert data with units in Python 2020-01-20
r-tree public Classification and regression trees. 2020-01-20
ansible public Ansible is a radically simple IT automation platform 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
r-foreign public Reading and writing data stored by some versions of 'Epi Info', 'Minitab', 'S', 'SAS', 'SPSS', 'Stata', 'Systat', 'Weka', and for reading and writing some 'dBase' files. 2020-01-20
pytest public Simple and powerful testing with Python. 2020-01-20
r-landscapemetrics public Calculates landscape metrics for categorical landscape patterns in a tidy workflow. 'landscapemetrics' reimplements the most common metrics from 'FRAGSTATS' (<https://www.umass.edu/landeco/research/fragstats/fragstats.html>) and new ones from the current literature on landscape metrics. This package supports 'raster' spatial objects and takes RasterLayer, RasterStacks, RasterBricks or lists of RasterLayer from the 'raster' package as input arguments. It further provides utility functions to visualize patches, select metrics and building blocks to develop new metrics. 2020-01-20
erlang public A programming language used to build massively scalable soft real-time systems with requirements on high availability. 2020-01-20
tiledb public TileDB sparse and dense multi-dimensional array data management 2020-01-20
r-anytime public Convert input in any one of character, integer, numeric, factor, or ordered type into 'POSIXct' (or 'Date') objects, using one of a number of predefined formats, and relying on Boost facilities for date and time parsing. 2020-01-20
snowflake-connector-python public Snowflake Connector for Python 2020-01-20
r-iswr public Data sets and scripts for text examples and exercises in P. Dalgaard (2008), `Introductory Statistics with R', 2nd ed., Springer Verlag, ISBN 978-0387790534. 2020-01-20
r-xml public Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter". 2020-01-20
highfive public Header-only C++ HDF5 interface 2020-01-20
line_profiler public A module for monitoring memory usage of a python program 2020-01-20
trimesh public Import, export, process, analyze and view triangular meshes. 2020-01-20
segno public Segno is a QR Code and Micro QR Code encoder which has no further dependencies. 2020-01-20
xwebrtc public C++ backend for the jupyter webrtc widget 2020-01-19
gast public A generic AST to represent Python2 and Python3's Abstract Syntax Tree(AST). 2020-01-19
setuptools public Download, build, install, upgrade, and uninstall Python packages 2020-01-19
imagemagick public Software suite to create, edit, compose, or convert bitmap images. 2020-01-19
numpy public Array processing for numbers, strings, records, and objects. 2020-01-19
odfpy public Python API and tools to manipulate OpenDocument files 2020-01-19
setuptools_scm public The blessed package to manage your versions by scm tags 2020-01-19
django-recaptcha public Django recaptcha form field/widget app. 2020-01-19
hypothesis public A library for property based testing 2020-01-19
tinyarray public Arrays of numbers for Python, optimized for small sizes 2020-01-19
r-stanheaders public The C++ header files of the Stan project are provided by this package, but it contains little R code or documentation. The main reference is the vignette. There is a shared object containing part of the 'CVODES' library, but its functionality is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models. 2020-01-19
r-agricolae public Original idea was presented in the thesis "A statistical analysis tool for agricultural research" to obtain the degree of Master on science, National Engineering University (UNI), Lima-Peru. Some experimental data for the examples come from the CIP and others research. Agricolae offers extensive functionality on experimental design especially for agricultural and plant breeding experiments, which can also be useful for other purposes. It supports planning of lattice, Alpha, Cyclic, Complete Block, Latin Square, Graeco-Latin Squares, augmented block, factorial, split and strip plot designs. There are also various analysis facilities for experimental data, e.g. treatment comparison procedures and several non-parametric tests comparison, biodiversity indexes and consensus cluster. 2020-01-19
r-adehabitatlt public A collection of tools for the analysis of animal movements. 2020-01-19
r-xts public Provide for uniform handling of R's different time-based data classes by extending zoo, maximizing native format information preservation and allowing for user level customization and extension, while simplifying cross-class interoperability. 2020-01-19
pingouin public Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy 2020-01-19
itkwidgets public Interactive Jupyter widgets to visualize images in 2D and 3D 2020-01-19
python-jsonrpc-server public A Python 2.7 and 3.4+ server implementation of the JSON RPC 2.0 protocol. 2020-01-19
PRIVACY POLICY  |  EULA (Anaconda Cloud v2.33.29) © 2020 Anaconda, Inc. All Rights Reserved.