About Anaconda Help Download Anaconda

conda-forge / packages

Filters
Package Name Access Summary Updated
d3 public Bring data to life with SVG, Canvas and HTML. 2025-04-22
pyexcel public Single API for reading, manipulating and writing data in csv, ods, xls, xlsx and xlsm files 2025-04-22
pyexcel-xlsx public A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl 2025-04-22
pyexcel-xls public A wrapper library to read, manipulate and write data in xls using xlrd and xlwt 2025-04-22
pyexcel-ods3 public A wrapper library to read, manipulate and write data in xls using xlrd and xlwt 2025-04-22
pyexcel-ezodf public A Python package to create/manipulate OpenDocumentFormat files 2025-04-22
pyexcel-io public One interface to read and write the data in various excel formats, import the data into and export the data from databases 2025-04-22
vaex-hdf5 public hdf5 file support for vaex 2025-04-22
python-xlib public XLib in pure Python 2025-04-22
jquery public jQuery JavaScript Library 2025-04-22
flot public Attractive JavaScript charts for jQuery 2025-04-22
material-design-lite public Material Design Components in HTML/CSS/JS 2025-04-22
gulp public The streaming build system 2025-04-22
datatables public Tables plug-in for jQuery 2025-04-22
httptools public Fast HTTP parser 2025-04-22
googlemaps public Python client library for Google Maps Platform 2025-04-22
tvb-gdist public Compute geodesic distances 2025-04-22
macholib public Mach-O header analysis and editing 2025-04-22
altgraph public Python graph (network) package 2025-04-22
httmock public A mocking library for requests 2025-04-22
pyscreeze public A simple, cross-platform screenshot module for Python 2 and 3. 2025-04-22
pyld public Python implementation of the JSON-LD API 2025-04-22
r-rvcheck public Check latest release version of R and R package (both in 'CRAN', 'Bioconductor' or 'Github'). 2025-04-22
r-robust public Methods for robust statistics, a state of the art in the early 2000s, notably for robust regression and robust multivariate analysis. 2025-04-22
r-fit.models public The fit.models function and its associated methods (coefficients, print, summary, plot, etc.) were originally provided in the robust package to compare robustly and classically fitted model objects. The aim of the fit.models package is to separate this fitted model object comparison functionality from the robust package and to extend it to support fitting methods (e.g., classical, robust, Bayesian, regularized, etc.) more generally. 2025-04-22

© 2025 Anaconda, Inc. All Rights Reserved. (v4.2.0) Legal | Privacy Policy