betse | * * B * * io * * E * * lectric * * T * * issue * * S * * imulation * * E * * ngine
kandi X-RAY | betse Summary
kandi X-RAY | betse Summary
betse is a Python library. betse has no bugs, it has no vulnerabilities and it has low support. However betse build file is not available and it has a Non-SPDX License. You can download it from GitLab.
# ------------------( DIRECTIVES )------------------. # Fallback language applied to all code blocks failing to specify an. # explicit language. Since the majority of all code blocks in this document. # are Bash one-liners intended to be run interactively, this is "console".
# ------------------( DIRECTIVES )------------------. # Fallback language applied to all code blocks failing to specify an. # explicit language. Since the majority of all code blocks in this document. # are Bash one-liners intended to be run interactively, this is "console".
Support
Quality
Security
License
Reuse
Support
betse has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
betse has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of betse is current.
Quality
betse has no bugs reported.
Security
betse has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
betse has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
Reuse
betse releases are not available. You will need to build from source code and install.
betse has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of betse
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of betse
betse Key Features
No Key Features are available at this moment for betse.
betse Examples and Code Snippets
No Code Snippets are available at this moment for betse.
Community Discussions
No Community Discussions are available at this moment for betse.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install betse
BETSE currently supports Linux, macOS, and Windows out-of-the-box.
Linux, install `these dependencies <dependencies_>`_ via your distribution-specific package manager (e.g., APT under Debian-based distributions). Do not use pip.\ [#pip_not]_
macOS, either:
(\ Recommended\ ) Install the Python 3.x variant of Anaconda_.
Or both: #. Install a third-party package manager (e.g., Homebrew_, MacPorts_). Apple does *not* provide a package manager out-of-the-box. #. Install `these dependencies <dependencies_>`__ via that package manager. Do *not* use ``pip``.\ [#pip_not]_
Windows, install the Python 3.x variant of Anaconda_.\ [#windows]_
The unstable BETSE repository as follows: #. Install Git_. #. Clone the ``master`` branch of this repository. code-block:: console git clone https://gitlab.com/betse/betse.git #. Prepare for installation. code-block:: console cd betse
Any stable BETSE release, including the most recent, as follows: #. Visit our `source tarball archive <tarballs_>`__. #. Click the download icon to the right of the desired release and select *Download tar.gz*. #. Extract the downloaded tarball into the current directory. code-block:: console tar -xvzf betse-*.tar.gz #. (\ *Optional*\ ) Remove this tarball. code-block:: console rm betse-*.tar.gz #. Prepare for installation. code-block:: console cd betse-*
(\ Recommended\ ) Editably, installing a cross-platform symbolic link to the current BETSE codebase. Modifications to this code are applied immediately without requiring reinstallation. code-block:: console sudo python3 setup.py develop
Non-editably, installing a physical copy of the current BETSE codebase. Modifications to this code are ignored and thus require reinstallation. code-block:: console sudo python3 setup.py install
code-block:: console cd /tmp && betse try
[#pip_not] Do not install scientific dependencies (e.g., NumPy_, SciPy_) with either pip or easy_install; doing so typically degrades BETSE to single-core performance. To optimize BETSE across multiple cores, always install these dependencies with your platform-specific package manager (e.g., Homebrew_, APT_).
[#windows] Unlike Linux and macOS, Anaconda_ is (\ effectively\ ) required under Windows. Due to Microsoft’s lack of support for `POSIX`_\ -compliant toolchains, no reasonable alternatives for installing multicore-aware scientific dependencies exist.
Models `ion channel`_ and `gap junction`_ activity.
Tracks changes in ion concentration and net ionic charge.
Calculates endogenous voltages and currents.
Accepts simulation parameters, variables, and options as human-readable, well-commented configuration files in YAML_ format.
Exports simulation results to a variety of output formats, including:
Publication-quality:
Plots, charts, and animations driven by Matplotlib_, the industry standard for open-source plot visualization.
`Directed graphs`_ (i.e., networks) driven by Graphviz_, the industry standard for open-source graph visualization.
Internet-friendly compressed video driven by any of various popular open-source video encoders, including FFmpeg_, Libav_, and MEncoder_.
Post-processable tabular data (e.g., `comma-separated values (CSV) <comma-separated values_>`__).
Imports bitmask images defining the shapes of:
Cell clusters.
Cell cluster regions localizing `ion channel`_ activity, typically signifying disparate types of adjacent tissue.
Linux, install `these dependencies <dependencies_>`_ via your distribution-specific package manager (e.g., APT under Debian-based distributions). Do not use pip.\ [#pip_not]_
macOS, either:
(\ Recommended\ ) Install the Python 3.x variant of Anaconda_.
Or both: #. Install a third-party package manager (e.g., Homebrew_, MacPorts_). Apple does *not* provide a package manager out-of-the-box. #. Install `these dependencies <dependencies_>`__ via that package manager. Do *not* use ``pip``.\ [#pip_not]_
Windows, install the Python 3.x variant of Anaconda_.\ [#windows]_
The unstable BETSE repository as follows: #. Install Git_. #. Clone the ``master`` branch of this repository. code-block:: console git clone https://gitlab.com/betse/betse.git #. Prepare for installation. code-block:: console cd betse
Any stable BETSE release, including the most recent, as follows: #. Visit our `source tarball archive <tarballs_>`__. #. Click the download icon to the right of the desired release and select *Download tar.gz*. #. Extract the downloaded tarball into the current directory. code-block:: console tar -xvzf betse-*.tar.gz #. (\ *Optional*\ ) Remove this tarball. code-block:: console rm betse-*.tar.gz #. Prepare for installation. code-block:: console cd betse-*
(\ Recommended\ ) Editably, installing a cross-platform symbolic link to the current BETSE codebase. Modifications to this code are applied immediately without requiring reinstallation. code-block:: console sudo python3 setup.py develop
Non-editably, installing a physical copy of the current BETSE codebase. Modifications to this code are ignored and thus require reinstallation. code-block:: console sudo python3 setup.py install
code-block:: console cd /tmp && betse try
[#pip_not] Do not install scientific dependencies (e.g., NumPy_, SciPy_) with either pip or easy_install; doing so typically degrades BETSE to single-core performance. To optimize BETSE across multiple cores, always install these dependencies with your platform-specific package manager (e.g., Homebrew_, APT_).
[#windows] Unlike Linux and macOS, Anaconda_ is (\ effectively\ ) required under Windows. Due to Microsoft’s lack of support for `POSIX`_\ -compliant toolchains, no reasonable alternatives for installing multicore-aware scientific dependencies exist.
Models `ion channel`_ and `gap junction`_ activity.
Tracks changes in ion concentration and net ionic charge.
Calculates endogenous voltages and currents.
Accepts simulation parameters, variables, and options as human-readable, well-commented configuration files in YAML_ format.
Exports simulation results to a variety of output formats, including:
Publication-quality:
Plots, charts, and animations driven by Matplotlib_, the industry standard for open-source plot visualization.
`Directed graphs`_ (i.e., networks) driven by Graphviz_, the industry standard for open-source graph visualization.
Internet-friendly compressed video driven by any of various popular open-source video encoders, including FFmpeg_, Libav_, and MEncoder_.
Post-processable tabular data (e.g., `comma-separated values (CSV) <comma-separated values_>`__).
Imports bitmask images defining the shapes of:
Cell clusters.
Cell cluster regions localizing `ion channel`_ activity, typically signifying disparate types of adjacent tissue.
Support
For any new features, suggestions and bugs create an issue on GitLab.
If you have any questions check and ask questions on community page Stack Overflow .
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