conda-forge / packages

Package Name Access Summary Updated
setuptools public Download, build, install, upgrade, and uninstall Python packages 2020-07-12
binutils public A set of programming tools for creating and managing binary programs, object files, libraries, profile data, and assembly source code. 2020-07-12
pyemir public EMIR Data Processing Pipeline 2020-07-12
django-import-export public Django application and library for importing and exporting data with included admin integration 2020-07-12
gspread public Google Spreadsheets Python API 2020-07-12
r-rsqlite public Embeds the 'SQLite' database engine in R and provides an interface compliant with the 'DBI' package. The source for the 'SQLite' engine is included. 2020-07-12
conda-forge-pinning public The baseline versions of software for the conda-forge ecosystem 2020-07-12
hypothesis public A library for property based testing 2020-07-12
bitarray public efficient arrays of booleans -- C extension 2020-07-12
r-bit64 public Package 'bit64' provides serializable S3 atomic 64bit (signed) integers. These are useful for handling database keys and exact counting in +-2^63. WARNING: do not use them as replacement for 32bit integers, integer64 are not supported for subscripting by R-core and they have different semantics when combined with double, e.g. integer64 + double => integer64. Class integer64 can be used in vectors, matrices, arrays and data.frames. Methods are available for coercion from and to logicals, integers, doubles, characters and factors as well as many elementwise and summary functions. Many fast algorithmic operations such as 'match' and 'order' support inter- active data exploration and manipulation and optionally leverage caching. 2020-07-12
r-bit public True boolean datatype (no NAs), coercion from and to logicals, integers and integer subscripts; fast boolean operators and fast summary statistics. With 'bit' vectors you can store true binary booleans {FALSE,TRUE} at the expense of 1 bit only, on a 32 bit architecture this means factor 32 less RAM and ~ factor 32 more speed on boolean operations. Due to overhead of R calls, actual speed gain depends on the size of the vector: expect gains for vectors of size > 10000 elements. Even for one-time boolean operations it can pay-off to convert to bit, the pay-off is obvious, when such components are used more than once. Reading from and writing to bit is approximately as fast as accessing standard logicals - mostly due to R's time for memory allocation. The package allows to work with pre-allocated memory for return values by calling .Call() directly: when evaluating the speed of C-access with pre-allocated vector memory, coping from bit to logical requires only 70% of the time for copying from logical to logical; and copying from logical to bit comes at a performance penalty of 150%. the package now contains further classes for representing logical selections: 'bitwhich' for very skewed selections and 'ri' for selecting ranges of values for chunked processing. All three index classes can be used for subsetting 'ff' objects (ff-2.1-0 and higher). 2020-07-12
rotamerconvolvemd public No Summary 2020-07-12
xarray public N-D labeled arrays and datasets in Python. 2020-07-12
fastavro public Fast read/write of AVRO files 2020-07-12
mrjob public Python MapReduce framework 2020-07-11
python-xxhash public Python binding for xxHash 2020-07-11
pathos public parallel graph management and execution in heterogeneous computing 2020-07-11
fribidi public The Free Implementation of the Unicode Bidirectional Algorithm. 2020-07-11
python-ldap public Python modules for implementing LDAP clients 2020-07-11
mysqlclient public Python interface to MySQL 2020-07-11
gnupg public The New GNU Privacy Guard 2020-07-11
r-tidytext public Text mining for word processing and sentiment analysis using 'dplyr', 'ggplot2', and other tidy tools. 2020-07-11
ibis-framework public Productivity-centric Python Big Data Framework 2020-07-11
tweepy public An easy-to-use Python library for accessing the Twitter API 2020-07-11
celerite public Scalable 1D Gaussian Processes in C++ and Python 2020-07-11
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. 2020-07-11
iminuit public Interactive Minimization Tools based on MINUIT 2020-07-11
python-lalinference public LSC Algorithm Inference Library 2020-07-11
lalinference public LSC Algorithm Inference Library 2020-07-11
isort public A Python utility / library to sort Python imports. 2020-07-11
cwltool public Common workflow language reference implementation 2020-07-11
stevedore public Manage dynamic plugins for Python applications 2020-07-11
tiledb-py public Python interface to the TileDB sparse and dense multi-dimensional array storage manager 2020-07-11
omas public Ordered Multidimensional Array Structure 2020-07-10
r-drat public Creation and use of R Repositories via helper functions to insert packages into a repository, and to add repository information to the current R session. Two primary types of repositories are support: gh-pages at GitHub, as well as local repositories on either the same machine or a local network. Drat is a recursive acronym: Drat R Archive Template. 2020-07-10
r-tibble public Provides a 'tbl_df' class (the 'tibble') that provides stricter checking and better formatting than the traditional data frame. 2020-07-10
spyder public The Scientific Python Development Environment 2020-07-10
trimesh public Import, export, process, analyze and view triangular meshes. 2020-07-10
oslo.i18n public Utilities for working with internationalization (i18n) features, especially translation for text strings in an application or library. 2020-07-10
identify public File identification library for Python 2020-07-10
pymeep public Free finite-difference time-domain (FDTD) software for electromagnetic simulations 2020-07-10
glmnet_py public python version of the popular glmnet library 2020-07-10
streamz public Manage streaming data, optionally with Dask and Pandas 2020-07-10
r-pillar public Provides 'pillar' and 'colonnade' generics designed for formatting columns of data using the full range of colours provided by modern terminals. 2020-07-10
sentry-sdk public The new Python SDK for 2020-07-10
petl public A Python package for extracting, transforming and loading tables of data. 2020-07-10
skyfield public Elegant astronomy for Python 2020-07-10
terraform-provider-alicloud public The Terraform AliCloud provider 2020-07-10
r-partykit public A toolkit with infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models. This unified infrastructure can be used for reading/coercing tree models from different sources ('rpart', 'RWeka', 'PMML') yielding objects that share functionality for print()/plot()/predict() methods. Furthermore, new and improved reimplementations of conditional inference trees (ctree()) and model-based recursive partitioning (mob()) from the 'party' package are provided based on the new infrastructure. A description of this package was published by Hothorn and Zeileis (2015) <>. 2020-07-10
spyder-kernels public Jupyter kernels for Spyder's console 2020-07-10
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