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DUNE-project

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  Analyzed 2 months ago

DUNE, the Distributed and Unified Numerics Environment is a modular toolbox for solving partial differential equations (PDEs) with grid-based methods. It supports the easy implementation of methods like Finite Elements (FE), Finite Volumes (FV), and also Finite Differences (FD).

213K lines of code

0 current contributors

4 months since last commit

13 users on Open Hub

Activity Not Available
5.0
 
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Apache Commons Math

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Claimed by Apache Software Foundation Analyzed 2 months ago

Commons Math is a library of lightweight, self-contained mathematics and statistics components addressing the most common problems not available in the Java programming language or Commons Lang. It provides implementations of major mathematical algorithms concerning statistics, linear algebra ... [More] , differential equations, optimization, root finding ... [Less]

161K lines of code

7 current contributors

4 months since last commit

9 users on Open Hub

Activity Not Available
5.0
 
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Kalypso

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  Analyzed 2 months ago

Kalypso is an open source application for geospatial modelling and simulation. It is primarly developed to be a user friendly tool for GIS-based modeling and simulation of hydrological and hydraulic numerical models.

3.42M lines of code

0 current contributors

over 4 years since last commit

6 users on Open Hub

Activity Not Available
5.0
 
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dhclus

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  Analyzed over 1 year ago

Divisive hierarchical clustering algorithm with automatic determination of components.

91.7K lines of code

0 current contributors

almost 11 years since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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Licenses: No declared licenses

Continuum Blaze

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  Analyzed 2 months ago

Blaze is the next-generation of NumPy. It is designed as a foundational set of abstractions on which to build out-of-core and distributed algorithms over a wide variety of data sources and to extend the structure of NumPy itself. Blaze allows easy composition of low level computation kernels (C ... [More] , Fortran, Numba) to form complex data transformations on large datasets. In Blaze, computations are described in a high-level language (Python) but executed on a low-level runtime (outside of Python), enabling the easy mapping of high-level expertise to data without sacrificing low-level performance. Blaze aims to bring Python and NumPy into the massively-multicore arena, allowing it to leverage many CPU and GPU cores across computers, virtual machines and cloud services. [Less]

29.4K lines of code

1 current contributors

almost 6 years since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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scipy-lecture-notes

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  Analyzed 2 months ago

Tutorial material on the scientific Python ecosystem

9.83K lines of code

19 current contributors

4 months since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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Licenses: No declared licenses

php_component_data_type

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  Analyzed 2 months ago

This component includes class definitions for php basic data types like: * Boolean * Floating point * Integer * String * Numeric By using this component, you are able to use type hints also for basic data types. The data types are shipped with some simple but useful methods.

1.59K lines of code

0 current contributors

almost 11 years since last commit

1 users on Open Hub

Activity Not Available
5.0
 
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scientific-python-lectures

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  Analyzed 2 months ago

Lectures on scientific computing with python, as IPython notebooks.

234 lines of code

0 current contributors

over 1 year since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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Licenses: No declared licenses

altfloat

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  Analyzed 2 months ago

Alternative floating point support for GHC.

1.94K lines of code

0 current contributors

over 14 years since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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Tags numeric