conda-forge / packages

Package Name Access Summary Updated
conda-forge-pinning public The baseline versions of software for the conda-forge ecosystem 2021-06-24
dropbox public Official Dropbox API Client 2021-06-24
conda-forge-repodata-patches public generate tweaks to index metadata, hosted separately from anaconda.org index 2021-06-24
r-lme4 public Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue". 2021-06-24
ipdb public Integration of IPython pdb 2021-06-24
r-grf public A pluggable package for forest-based statistical estimation and inference. GRF currently provides methods for non-parametric least-squares regression, quantile regression, and treatment effect estimation (optionally using instrumental variables). 2021-06-24
awscli public Universal Command Line Environment for AWS. 2021-06-23
boto3 public Amazon Web Services SDK for Python 2021-06-23
botocore public Low-level, data-driven core of boto 3. 2021-06-23
dcw-gmt public DCW-GMT - The Digital Chart of the World for GMT 5 2021-06-23
freud public Powerful, efficient particle trajectory analysis in scientific Python. 2021-06-23
nbconvert public Converting Jupyter Notebooks 2021-06-23
faker public Faker is a Python package that generates fake data for you 2021-06-23
qtawesome public Iconic fonts in PyQt and PySide applications 2021-06-23
r-exactci public Calculates exact tests and confidence intervals for one-sample binomial and one- or two-sample Poisson cases. 2021-06-23
s3fs public Convenient Filesystem interface over S3 2021-06-23
python.app public Proxy on macOS letting Python libraries hook into the GUI event loop 2021-06-23
newrelic public New Relic Python Agent 2021-06-23
r-curl public The curl() and curl_download() functions provide highly configurable drop-in replacements for base url() and download.file() with better performance, support for encryption (https, ftps), gzip compression, authentication, and other 'libcurl' goodies. The core of the package implements a framework for performing fully customized requests where data can be processed either in memory, on disk, or streaming via the callback or connection interfaces. Some knowledge of 'libcurl' is recommended; for a more-user-friendly web client see the 'httr' package which builds on this package with http specific tools and logic. 2021-06-23
r-spatstat public Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images. Contains over 2000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported. Parametric models can be fitted to point pattern data using the functions ppm(), kppm(), slrm(), dppm() similar to glm(). Types of models include Poisson, Gibbs and Cox point processes, Neyman-Scott cluster processes, and determinantal point processes. Models may involve dependence on covariates, inter-point interaction, cluster formation and dependence on marks. Models are fitted by maximum likelihood, logistic regression, minimum contrast, and composite likelihood methods. A model can be fitted to a list of point patterns (replicated point pattern data) using the function mppm(). The model can include random effects and fixed effects depending on the experimental design, in addition to all the features listed above. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise(), AIC()) and variable selection (sdr). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots. 2021-06-23
thinc public thinc: Learn super-sparse multi-class models 2021-06-23
pyobjcryst public Python bindings to the ObjCryst++ crystallographic library. 2021-06-23
r-mime public Guesses the MIME type from a filename extension using the data derived from /etc/mime.types in UNIX-type systems. 2021-06-23
tiledb public TileDB sparse and dense multi-dimensional array data management 2021-06-23
sqlalchemy public Database Abstraction Library. 2021-06-23
h5py public Read and write HDF5 files from Python 2021-06-23
dask public Parallel PyData with Task Scheduling 2021-06-23
numpy public Array processing for numbers, strings, records, and objects. 2021-06-23
hypre public high performance preconditioners for sparse linear systems 2021-06-22
pandas public High-performance, easy-to-use data structures and data analysis tools. 2021-06-22
grpcio public HTTP/2-based RPC framework 2021-06-22
python public General purpose programming language 2021-06-22
google-api-python-client public Google API Client Library for Python 2021-06-22
moab public The Mesh-Oriented datABase 2021-06-22
r-rmysql public Legacy 'DBI' interface to 'MySQL' / 'MariaDB' based on old code ported from S-PLUS. A modern 'MySQL' client based on 'Rcpp' is available from the 'RMariaDB' package. 2021-06-22
geographiclib public The geodesic routines from GeographicLib 2021-06-22
mpld3 public D3 Viewer for Matplotlib 2021-06-22
cmake public CMake is an extensible, open-source system that manages the build process 2021-06-22
dask-core public Parallel Python with task scheduling 2021-06-22
spdlog public Super fast C++ logging library. 2021-06-22
healpy public Healpix tools package for Python 2021-06-22
send2trash public Python library to natively send files to Trash (or Recycle bin) on all platforms. 2021-06-22
configargparse public A drop-in replacement for argparse that allows options to also be set via config files and/or environment variables. 2021-06-22
thrift-cpp public Compiler and C++ libraries and headers for the Apache Thrift RPC system 2021-06-22
datalad public data distribution geared toward scientific datasets 2021-06-22
alpenglow public Open Source Recommender Framework with Time-aware Learning and Evaluation 2021-06-22
sqlite public Implements a self-contained, zero-configuration, SQL database engine 2021-06-22
arrow-cpp public C++ libraries for Apache Arrow 2021-06-22
pyarrow public Python libraries for Apache Arrow 2021-06-22
wrighttools public Tools for loading, processing, and plotting multidimensional spectroscopy data. 2021-06-22

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