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.
Metadata
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 | Provenance | Actions |
|---|---|---|---|---|
| intern-0.9.12.tar.gz | 59.5 kB | Without provenance | Details for intern-0.9.12.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| intern-0.9.12-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for intern-0.9.12-py2.py3-none-any.whl |
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 |
49ac9f60748e57e32320f454f9e77daab6f87b0b0a58b92438ae4428e78f3704
|
|
BLAKE2b-256 checksum How to use checksums |
31fbdd9833868bf92ef5ed36611aedfd134af69e587c9fb4fd3ac140c1c1965b
|
| Upload date | |
|
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
|
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 |
ec6ca751c041d6f6a92cc4e4a07df60a91edba69ee7334a3f57367235c24e300
|
|
BLAKE2b-256 checksum How to use checksums |
c050ac88ed4dc9cb85b197be203999a3d48825957be02738a8b35072d9bb888c
|
| Upload date | |
|
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
|
Security for intern 0.9.12
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.