django-lean
(0.15)
Released 13 years, 3 months ago
A framework for performing and analyzing split-test experiments in Django applications.
blockcanvas
(4.0.3)
Released 11 years ago
visual environment for creating simulation experiments
ModelicaRes
(0.8.1)
Released 10 years, 3 months ago
Utilities to set up and analyze Modelica simulation experiments
PsiTurk
(1.0.1)
Released 10 years, 9 months ago
A web framework for dynamic behavioral experiments
igwtools
(0.3.dev-r412)
Released 13 years, 3 months ago
Tools for internal gravity waves experiments
skll
(0.14.0)
Released 10 years, 7 months ago
SciKit-Learn Laboratory makes it easier to run machinelearning experiments with scikit-learn.
e3_analysis
(0.1.4)
Released 11 years, 5 months ago
Data handling code for Wikimedia Editor Engagement Experiments.
sumatra-server
(0.1.0)
Released 12 years, 10 months ago
Sumatra Server is a Django app that implements an HTTP-based store for records of computational experiments.
pyDOE
(0.2.1)
Released 10 years, 3 months ago
Design of experiments for Python
pique
(0.1.7)
Released 10 years, 3 months ago
An efficient peak finder for high coverage ChIP-seq experiments.
reprozip
(0.1.0-beta)
Released 10 years, 3 months ago
Reproducibility tool for packing and unpacking experiments.
precip
(0.3)
Released 10 years, 9 months ago
Pegasus Experiment Cloud Controller - a simple module for running experiments in the cloud
django-experiments
(0.3.5)
Released 11 years, 5 months ago
Python Django AB Testing Framework
xbob.paper.tpami2013
(1.0.0)
Example on how to use the scalable implementation of PLDA and how to reproduce experiments of the article
gptwosample
(0.1.19)
Differential expression detection between gene expression time series experiments with confounder correction and timehift detection.
rapidsms-xray
(0.5.6b0)
RapidSMS app for web and SMS split test experiments & event tracking.
xbob.paper.jmlr2013
(0.2.0)
Example of an article using Bob for reproducible experiments
xfacereclib.paper.BeFIT2012
(1.0.0)
Running the face recognition experiments as given in paper: "An Open Source Framework for Standardized Comparisons of Face Recognition Algorithms".