conda-forge / packages

Package Name Access Summary Updated
python-geotiepoints public Interpolation of geographic tiepoints in Python 2020-06-06
dask public Parallel PyData with Task Scheduling 2020-06-06
libflint public Fast Library for Number Theory 2020-06-06
conda-forge-pinning public The baseline versions of software for the conda-forge ecosystem 2020-06-06
dask-core public Parallel Python with task scheduling 2020-06-06
gidgethub public An async GitHub API library for Python 2020-06-06
awscli public Universal Command Line Environment for AWS. 2020-06-05
boto3 public Amazon Web Services SDK for Python 2020-06-05
fastrlock public This is a C-level implementation of a fast, re-entrant, optimistic lock for CPython 2020-06-05
jupyter_kernel_gateway public Jupyter Kernel Gateway 2020-06-05
botocore public Low-level, data-driven core of boto 3. 2020-06-05
xwidgets public C++ implementation of the Jupyter Interactive widgets 2020-06-05
conda-forge-repodata-patches public generate tweaks to index metadata, hosted separately from anaconda.org index 2020-06-05
lifelines public Survival analysis in Python, including Kaplan Meier, Nelson Aalen and regression 2020-06-05
librsvg public librsvg is a library to render SVG files using cairo. 2020-06-05
youtube-dl public YouTube video downloader 2020-06-05
slackclient public Python client for Slack.com 2020-06-05
plotnine public A grammar of graphics for python 2020-06-05
r-later public Executes arbitrary R or C functions some time after the current time, after the R execution stack has emptied. 2020-06-05
r-squarem public Algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mapping such as the EM algorithm. It can be used to accelerate any smooth, linearly convergent acceleration scheme. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded in an R session, with vignette("SQUAREM"). 2020-06-05
r-probably public Models can be improved by post-processing class probabilities, by: recalibration, conversion to hard probabilities, assessment of equivocal zones, and other activities. 'probably' contains tools for conducting these operations. 2020-06-05
msgpack-c public MessagePack implementation for C and C++. 2020-06-05
pyjanitor public Python implementation of the R package janitor. 2020-06-05
xrootd public High performance, scalable fault tolerant access to data 2020-06-05
tinydb public TinyDB is a tiny, document oriented database optimized for your happiness :) 2020-06-05
django-filter public Django-filter is a a generic system for filtering Django QuerySets based on user selections 2020-06-05
rust public Rust is a systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety. This package provides the compiler (rustc) and the documentation utilities rustdoc. 2020-06-05
r-vctrs public Defines new notions of prototype and size that are used to provide tools for consistent and well-founded type-coercion and size-recycling, and are in turn connected to ideas of type- and size-stability useful for analyzing function interfaces. 2020-06-05
fsleyes-widgets public A collection of wxPython widgets used by FSLeyes 2020-06-05
owslib public OGC Web Service utility library 2020-06-05
lazy-object-proxy public A fast and thorough lazy object proxy 2020-06-05
blosc public A blocking, shuffling and loss-less compression library that can be faster than `memcpy()` 2020-06-05
mizani public Scales for Python 2020-06-05
ligo-gracedb public Gravitational Wave Candidate Event Database 2020-06-05
verde public Processing and gridding spatial data using Green's functions 2020-06-05
kombu public Messaging library for Python 2020-06-05
binarytree public Python Library for Learning Binary Trees 2020-06-05
cyipopt public A Cython wrapper to the IPOPT optimization package 2020-06-05
flask-httpauth public Basic and Digest HTTP authentication for Flask routes 2020-06-05
qhull public Qhull computes the convex hull 2020-06-05
r-rms public Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression. 2020-06-04
identify public File identification library for Python 2020-06-04
vaex-core public Core of vaex 2020-06-04
msrest public AutoRest swagger generator Python client runtime. 2020-06-04
vaex-jupyter public Jupyter notebook and Jupyter lab support for vaex 2020-06-04
vaex-server public Webserver and client for vaex for a remote dataset 2020-06-04
gcc_impl_linux-64 public GNU C Compiler 2020-06-04
libgcc-ng public The GCC low-level runtime library 2020-06-04
libstdcxx-ng public The GNU C++ Runtime Library 2020-06-04
binutils_impl_linux-64 public A set of programming tools for creating and managing binary programs, object files, libraries, profile data, and assembly source code. 2020-06-04
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