Metadata-Version: 1.2
Name: brainpy-simulator
Version: 1.0.2
Summary: BrainPy: A general platform for computational neuroscience and brain-inspired computation
Home-page: https://github.com/PKU-NIP-Lab/BrainPy
Author: Chaoming Wang
Author-email: adaduo@outlook.com
License: UNKNOWN
Description: 
        ![Logo](docs/_static/logo.png)
        
        [![LICENSE](https://anaconda.org/brainpy/brainpy/badges/license.svg)](https://github.com/PKU-NIP-Lab/BrainPy)    [![Documentation](https://readthedocs.org/projects/brainpy/badge/?version=latest)](https://brainpy.readthedocs.io/en/latest/?badge=latest)     [![Conda](https://anaconda.org/brainpy/brainpy-simulator/badges/version.svg)](https://anaconda.org/brainpy/brainpy-simulator)  [![PyPI version](https://badge.fury.io/py/brainpy-simulator.svg)](https://badge.fury.io/py/brainpy-simulator) [![Build Status](https://travis-ci.com/PKU-NIP-Lab/BrainPy.svg?branch=master)](https://travis-ci.com/PKU-NIP-Lab/BrainPy)
        
        
        
        # Why to use BrainPy
        
        ``BrainPy`` is an integrative framework for computational neuroscience and brain-inspired computation. Three core functions are provided in BrainPy:
        
        - *General numerical solvers* for ODEs and SDEs (support for DDEs and FDEs will come soon).
        - *Neurodynamics simulation tools* for brain objects, such like neurons, synapses and networks (support for soma and dendrites will come soon).
        - *Neurodynamics analysis tools* for differential equations, including phase plane analysis and bifurcation analysis (support for continuation analysis and sensitive analysis will come soon).
        
        Moreover, `BrainPy` is designed to effectively satisfy your basic requirements: 
        
        - *Easy to learn and use*, because BrainPy is only based on Python language and has little dependency requirements; 
        - *Highly flexible and transparent*, because BrainPy endows the users with the fully data/logic flow control; 
        - *Simulation can be guided with the analysis*, because the same code in BrainPy can not only be used for simulation, but also for dynamics analysis; 
        - *Efficient running speed*, because BrainPy is compatible with the latest JIT compilers or any other accelerating framework you prefer (below we list the speed comparison based on Numba JIT).
        
        
        ![Speed Comparison](docs/_static/speed.png)
        
        `BrainPy` is a backend-independent neural simulator. Users can define models with any backend they prefer. Intrinsically, BrainPy supports the array/tensor-oriented backends such like [NumPy](https://numpy.org/), [PyTorch](https://pytorch.org/), and [TensorFlow](https://www.tensorflow.org/), it also supports the JIT compilers such as [Numba](https://numba.pydata.org/) on CPU or CUDA devices. Extending BrainPy to support other backend frameworks you prefer is very easy. The details please see documents coming soon. 
        
        
        
        # Installation
        
        ``BrainPy`` is based on Python (>=3.7), and the following packages are required to be installed to use ``BrainPy``:
        
        - NumPy >= 1.13
        - Matplotlib >= 3.3
        
        Install ``BrainPy`` by using ``pip``:
        
        ```bash
        > pip install -U brainpy-simulator
        ```
        
        Install ``BrainPy`` by using ``conda``:
        
        ```bash
        > conda install brainpy-simulator -c brainpy
        ```
        
        Install ``BrainPy`` from source:
        
        ```bash
        > pip install git+https://github.com/PKU-NIP-Lab/BrainPy
        > # or
        > pip install git+https://git.openi.org.cn/OpenI/BrainPy
        > # or
        > pip install -e git://github.com/PKU-NIP-Lab/BrainPy.git@V1.0.0
        ```
        
        
        # Let's start
        
        - **Website (including documentations):** https://brainpy.readthedocs.io/
        - **Source code:** https://github.com/PKU-NIP-Lab/BrainPy  or  https://git.openi.org.cn/OpenI/BrainPy
        - **Bug reports:** https://github.com/PKU-NIP-Lab/BrainPy/issues  or  Email to adaduo@outlook.com
        - **Examples from papers**: https://brainmodels.readthedocs.io/en/latest/from_papers.html
        
        Here list several simple examples for neurodynamics simulation and analysis. Comprehensive examples and tutorials please see [BrainModels](https://brainmodels.readthedocs.io).
        
        
Keywords: computational neuroscience,brain-inspired computation,dynamical systems,differential equations,numerical integration,ordinary differential equations,stochastic differential equations,delay differential equations,fractional differential equations,ODE,SDE,DDE,FDE
Platform: UNKNOWN
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries
Requires-Python: >=3.6
