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gretl

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  Analyzed about 20 hours ago

Gretl (Gnu Regression, Econometrics and Time-series Library) is a cross-platform software package for econometric analysis, written in the C programming language. It is is free, open-source software. You may redistribute it and/or modify it under the terms of the GNU General Public License (GPL3) as ... [More] published by the Free Software Foundation. [Less]

775K lines of code

6 current contributors

1 day since last commit

6 users on Open Hub

High Activity
5.0
 
0 Reviews
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Mostly written in C
Licenses: gpl
Tags econometrics language regression time_series

statsmodels

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  Analyzed about 4 hours ago

statsmodels is a pure python package that provides classes and functions for the estimation of several categories of statistical models with numpy and scipy. These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution ... [More] families and M-estimators for robust linear models, discrete models, Logit, Probit, Multinomial Logit, Poisson and Negative Binomial, models for time series analysis include AR, ARIMA and VAR. An extensive list of result statistics are available for each estimation problem. Besides models for estimation and prediction, statsmodels also has hypothesis tests and other statistical functions. [Less]

238K lines of code

50 current contributors

1 day since last commit

5 users on Open Hub

Moderate Activity
3.0
   
0 Reviews
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Mostly written in Python
Licenses: BSD-3-Clause
Tags econometrics estimation python regression statistics time_series_analysis

PanGaia

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  Analyzed about 22 hours ago

The New Web: an ontology network for the creative economy.

735 lines of code

2 current contributors

about 1 year since last commit

1 users on Open Hub

Very Low Activity
5.0
 
0 Reviews
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Mostly written in Python
Licenses: gpl3_or_l...
Tags 3d awesomeness econometrics glassbeadgame internet knowledge_base ontology p2p physics socialnetworking visualization votingsystem 1 more...

pymaclab

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  Analyzed about 23 hours ago

PyMacLab is the Python Macroeconomics Laboratory which serves the purpose of providing a convenience framework written in form of a Python library with the ability to solve non-linear DSGE models. The library supports solving DSGE models using 1st and 2nd order perturbation methods which are ... [More] computed around the steady state. PyMacLab possesses the added advantage of being equipped with an advanced model file parser module, which automates cumbersome and error-prone linearization by hand. PyMacLab is written entirely in Python, is free and incredibly flexible to use and extend. [Less]

101K lines of code

0 current contributors

almost 6 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Python
Licenses: apache_ish, bsd
Tags computation dsge dynamic econometrics education finance macroeconomics python research simulation timeseries

R-Adamant

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  Analyzed about 22 hours ago

R-Adamant is a collection of functions and algorithms for processing of Financial Time Series, Risk Management and Econometrics.

14.6K lines of code

0 current contributors

over 12 years since last commit

0 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in R
Licenses: gpl
Tags analysis econometrics finance management mathematics modeling portfolio r risk