intern
intern (Integrated Toolkit for Extensible and Reproducible Neuroscience) is a Python 2/3 module that enables big-data neuroscience. Currently, it provides an interface to the Boss API, and in the future may provide interfaces to other neuroscience databases.
intern is inspired by the NeuroData ndio package:
https://github.com/neurodata/ndio
The Boss Legal Notes
Use or redistribution of the Boss system in source and/or binary forms, with or without modification, are permitted provided that the following conditions are met:
- Redistributions of source code or binary forms must adhere to the terms and conditions of any applicable software licenses.
- End-user documentation or notices, whether included as part of a redistribution or disseminated as part of a legal or scientific disclosure (e.g. publication) or advertisement, must include the following acknowledgement: The Boss software system was designed and developed by the Johns Hopkins University Applied Physics Laboratory (JHU/APL).
- The names "The Boss", "JHU/APL", "Johns Hopkins University", "Applied Physics Laboratory", "MICrONS", or "IARPA" must not be used to endorse or promote products derived from this software without prior written permission. For written permission, please contact BossAdmin@jhuapl.edu.
- This source code and library is distributed in the hope that it will be useful, but is provided without any warranty of any kind.
Installation
-
It's always a good idea to use virtualenv to isolate your work from your system Python installation
- Using virtualenv:
virtualenv intern . intern/bin/activate- Using virtualenvwrapper:
mkvirtualenv intern -
(Preferred) Install via pypi
pip install intern -
Install via git
Clone the repository from https://github.com/jhuapl-boss/intern and run
pip install -r requirements.txtfrom the repository's location on your system.Add
<repository location>to yourPYTHONPATH.For example, on a *nix system, if intern was cloned to ~/intern:
export PYTHONPATH=$PYTHONPATH:~/intern
Getting Started
To quickly get started with intern, check out the wiki: https://github.com/jhuapl-boss/intern/wiki
Documentation
Full detailed documentation can be found here: https://jhuapl-boss.github.io/intern/
Contributing
Please submit bug reports, or get in touch using GitHub Issues.
2 maintainers
Release files for intern 0.9.12
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| intern-0.9.12.tar.gz | 59.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| intern-0.9.12-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 148.8 kB
Release files / intern-0.9.12.tar.gz
| Download URL | intern-0.9.12.tar.gz |
|---|---|
| Size | 59.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.10
|
Release files / intern-0.9.12-py2.py3-none-any.whl
| Download URL | intern-0.9.12-py2.py3-none-any.whl |
|---|---|
| Size | 89.3 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.10
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