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 |