conda-forge / packages

Package Name Access Summary Updated
plonk public Smoothed particle hydrodynamics analysis and visualization with Python. 2019-12-09
thunder-registration public algorithms for image registration 2019-12-09
eo-learn-visualization public A collection of visualization utilities 2019-12-09
eo-learn-features public A collection of feature manipulation utilities and EOTasks 2019-12-09
eo-learn-ml-tools public A collection of Machine Learning utilities 2019-12-09
eo-learn-io public A collection of input/output utilities and EOTasks 2019-12-09
thunder-python public large-scale image and time series analysis 2019-12-09
photutils public An Astropy package for photometry 2019-12-09
ipyvue public Jupyter widgets base for Vue libraries 2019-12-09
hpp-fcl public An extension of the Flexible Collision Library 2019-12-09
pyglfw public This module provides Python bindings for GLFW 2019-12-09
astroplan public Observation planning package for astronomers 2019-12-09
eo-learn-core public Core Machine Learning Framework at Sinergise 2019-12-09
libcap public Implements the user-space interfaces to the POSIX 1003.1e capabilities available in Linux kernels 2019-12-09
java-org.apache.arrow.arrow-tools-with-dependencies public Uber-JAR of the Apache Arrow Java Tools 2019-12-09
cvxpy public A Python-embedded modeling language for convex optimization problems 2019-12-09
cvxpy-base public A Python-embedded modeling language for convex optimization problems 2019-12-09
uglify-js public JavaScript parser / mangler / compressor / beautifier toolkit 2019-12-09
r-aqp public A collection of algorithms related to modeling of soil resources, soil classification, soil profile aggregation, and visualization. 2019-12-09
gpi_core public Core nodes for the GPI development framework 2019-12-09
bookstore public Storage Workflows for Notebooks 2019-12-09
python-cppcolormap public Library with colormaps. 2019-12-09
cppcolormap public Library with colormaps. 2019-12-09
hypothesis public A library for property based testing 2019-12-09
pyts public A Python package for time series classification 2019-12-09
r-callr public It is sometimes useful to perform a computation in a separate R process, without affecting the current R process at all. This packages does exactly that. 2019-12-09
trimesh public Import, export, process, analyze and view triangular meshes. 2019-12-09
nilearn public Statistical learning for neuroimaging in Python 2019-12-09
magics public ECMWF's Meteorological plotting software 2019-12-09
rebound public An open-source multi-purpose N-body code 2019-12-09
magics-metview public ECMWF's Meteorological plotting software Magics built with Metview enabled 2019-12-09
fmrib-unpack public The FMRIB UKBioBank Normalisation, Parsing And Cleaning Kit 2019-12-09
kombu public Messaging library for Python 2019-12-09
r-ccapp public Canonical correlation analysis and maximum correlation via projection pursuit, as well as fast implementations of correlation estimators, with a focus on robust and nonparametric methods. 2019-12-09
tifffile public Read and write image data from and to TIFF files. 2019-12-09
pyelftools public Library for analyzing ELF files and DWARF debugging information 2019-12-09
neurotic public Curate, visualize, annotate, and share your behavioral ephys data using Python 2019-12-09
dagster_pandas public Utilities and examples for working with pandas and dagster, an opinionated framework for expressing data pipelines 2019-12-09
portend public TCP port monitoring utilities 2019-12-09
r-tfisher public We provide the cumulative distribution function (CDF), quantile, and statistical power calculator for a collection of thresholding Fisher's p-value combination methods, including Fisher's p-value combination method, truncated product method and, in particular, soft-thresholding Fisher's p-value combination method which is proven to be optimal in some context of signal detection. The p-value calculator for the omnibus version of these tests are also included. For reference, please see Hong Zhang and Zheyang Wu. "TFisher Tests: Optimal and Adaptive Thresholding for Combining p-Values", submitted. 2019-12-09
pyexasol public Exasol python driver with extra features 2019-12-09
r-data.table public Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns, friendly and fast character-separated-value read/write. Offers a natural and flexible syntax, for faster development. 2019-12-09
dagster_aws public Package for AWS-specific Dagster framework solid and resource components. 2019-12-09
r-cli public A suite of tools designed to build attractive command line interfaces ('CLIs'). Includes tools for drawing rules, boxes, trees, and 'Unicode' symbols with 'ASCII' alternatives. 2019-12-09
dagster_ge public Great Expectations plugin for Dagster 2019-12-09
pyqstem public A Python interface to the electron microscopy simulation program QSTEM. 2019-12-09
r-eml public Work with Ecological Metadata Language ('EML') files. 'EML' is a widely used metadata standard in the ecological and environmental sciences, described in Jones et al. (2006), <doi:10.1146/annurev.ecolsys.37.091305.110031>. 2019-12-09
dagster public Dagster is an opinionated programming model for data pipelines. 2019-12-09
r-funrar public Computes functional rarity indices as proposed by Violle et al. (2017) <doi:10.1016/j.tree.2017.02.002>. Various indices can be computed using both regional and local information. Functional Rarity combines both the functional aspect of rarity as well as the extent aspect of rarity. 'funrar' is presented in GreniƩ et al. (2017) <doi:10.1111/ddi.12629>. 2019-12-09
r-dyndimred public Provides a common interface for applying dimensionality reduction methods, such as Principal Component Analysis ('PCA'), Independent Component Analysis ('ICA'), diffusion maps, Locally-Linear Embedding ('LLE'), t-distributed Stochastic Neighbor Embedding ('t-SNE'), and Uniform Manifold Approximation and Projection ('UMAP'). Has built-in support for sparse matrices. 2019-12-09
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