pyNS 🌲
pyNS is a python library to easily interact with the Neuroscout API.
pyNS enables advanced used cases not supported by the neuroscout.org web-based analysis builder, such as batch-creation of analyses, meta-analytic applications, as well as supporting the operations of the neuroscout-cli
Installation
Use pip to install it:
pip install pyns
Documentation 📚
Full documentation can be found at readthedocs.
For API docs, check out the Swagger API UI.
For a tutorial see this jupyter notebook example.
You can also follow the Neuroscout Paper's analyses in this interactive jupyter book.
Testing
We use pytest for testing, and betamax to record HTTP requests used in tests.
To re-run tests locally set theUSER_TEST_EMAIL and USER_TEST_PWD environment variables with valid API credentials.
Metadata
Release files for pyns 0.5.1
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 | |
|---|---|---|---|---|
| pyns-0.5.1.tar.gz | 18.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyns-0.5.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 42.1 kB
Release files / pyns-0.5.1.tar.gz
| Download URL | pyns-0.5.1.tar.gz |
|---|---|
| Size | 18.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.18
|
Release files / pyns-0.5.1-py3-none-any.whl
| Download URL | pyns-0.5.1-py3-none-any.whl |
|---|---|
| Size | 23.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.18
|
Security for pyns 0.5.1
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