conda-forge / packages

Package Name Access Summary Updated
dash-table public A First-Class Interactive DataTable for Dash 2019-10-17
r-taxize public Interacts with a suite of web 'APIs' for taxonomic tasks, such as getting database specific taxonomic identifiers, verifying species names, getting taxonomic hierarchies, fetching downstream and upstream taxonomic names, getting taxonomic synonyms, converting scientific to common names and vice versa, and more. 2019-10-17
r-styler public Pretty-prints R code without changing the user's formatting intent. 2019-10-17
dash-renderer public Front-end component renderer for dash 2019-10-17
multinest public MultiNest is a Bayesian inference tool which calculates the evidence and explores the parameter space which may contain multiple posterior modes and pronounced (curving) degeneracies in moderately high dimensions. 2019-10-17
future public Clean single-source support for Python 3 and 2 2019-10-17
pelican public A tool to generate a static blog from reStructuredText or Markdown input files. 2019-10-17
git-lfs public An open source Git extension for versioning large files 2019-10-17
outcome public Capture the outcome of Python function calls. 2019-10-17
unicodedata2 public unicodedata backport/updates to python 3 and python 2. 2019-10-17
r-r.rsp public The RSP markup language makes any text-based document come alive. RSP provides a powerful markup for controlling the content and output of LaTeX, HTML, Markdown, AsciiDoc, Sweave and knitr documents (and more), e.g. 'Today's date is <%=Sys.Date()%>'. Contrary to many other literate programming languages, with RSP it is straightforward to loop over mixtures of code and text sections, e.g. in month-by-month summaries. RSP has also several preprocessing directives for incorporating static and dynamic contents of external files (local or online) among other things. Functions rstring() and rcat() make it easy to process RSP strings, rsource() sources an RSP file as it was an R script, while rfile() compiles it (even online) into its final output format, e.g. rfile('report.tex.rsp') generates 'report.pdf' and rfile('report.md.rsp') generates 'report.html'. RSP is ideal for self-contained scientific reports and R package vignettes. It's easy to use - if you know how to write an R script, you'll be up and running within minutes. 2019-10-17
gpy public The Gaussian Process Toolbox 2019-10-17
tmtk public A toolkit for ETL curation for the tranSMART data warehouse. 2019-10-17
mumps-seq public MUMPS: a parallel sparse direct solver 2019-10-17
cryptography-vectors public Test vectors for the cryptography package. 2019-10-17
mumps-mpi public MUMPS: a parallel sparse direct solver 2019-10-17
mumps-include public MUMPS: a parallel sparse direct solver 2019-10-17
tyssue public A tissue simulation library 2019-10-17
voila public Rendering of live Jupyter notebooks with interactive widgets 2019-10-17
multiprocess public better multiprocessing and multithreading in python 2019-10-17
ioos-tools public Misc functions for IOOS examples 2019-10-17
iminuit public Interactive Minimization Tools based on MINUIT 2019-10-17
libtiff public Support for the Tag Image File Format (TIFF). 2019-10-17
petsc public PETSc: Portable, Extensible Toolkit for Scientific Computation 2019-10-17
reaktoro public A unified framework for modeling chemically reactive systems 2019-10-17
r-covr public Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' <http://codecov.io> or 'Coveralls' <http://coveralls.io>. Code coverage is a measure of the amount of code being exercised by a set of tests. It is an indirect measure of test quality and completeness. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/FORTRAN code. 2019-10-17
flask-admin public Simple and extensible admin interface framework for Flask 2019-10-17
hypothesis public A library for property based testing 2019-10-17
opencv public Computer vision and machine learning software library. 2019-10-17
networkx public Python package for creating and manipulating complex networks 2019-10-17
spyder public The Scientific Python Development Environment 2019-10-17
xlsxwriter public A Python module for creating Excel XLSX files 2019-10-17
pytest-django public A Django plugin for py.test 2019-10-17
mypy public Optional static typing for Python 2019-10-17
plotly public An interactive, browser-based graphing library for Python 2019-10-17
dask-kubernetes public Native Kubernetes integration for Dask 2019-10-17
libdrm public userspace library for drm 2019-10-17
bash public Bourne Again Shell 2019-10-16
libcomcat public Python wrapper around ANSS ComCat API (plus tools). 2019-10-16
scs public Python interface for SCS, which solves convex cone problems 2019-10-16
willow public A unified interface to Python image libraries 2019-10-16
libdrs public Data Retrieval and Storage DRS software Fortran library 2019-10-16
elementpath public XPath 1.0/2.0 parsers and selectors for ElementTree 2019-10-16
lcov public LCOV is an extension of GCOV, a GNU tool which provides information about what parts of a program are actually executed (i.e. "covered") while running a particular test case. 2019-10-16
great-expectations public Always know what to expect from your data. 2019-10-16
conan public Conan C/C++ package manager 2019-10-16
tiledb public TileDB sparse and dense multi-dimensional array data management 2019-10-16
rpy2 public Python interface to the R language (embedded R) 2019-10-16
osqp public Python interface for OSQP, the Operator Splitting QP Solver 2019-10-16
barril public Python package to manage units for physical quantities 2019-10-16
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