I intend to publish the code for my thesis under an appropriate open-source license, such as GPL v3. The code consists of Python and compiled C code that either imports or is statically linked to certain python/other modules. I have not modified any of these external modules. However, I will not distribute any of the code or modules myself, leaving that task to the user during the installation process.
I have three questions:
- Is it necessary to distribute all the licenses separately, or is that requirement satisfied when the user installs the modules themselves?
- Can I release my code under GPL v3?
- Are there any other obligations or advice I should be aware of?
As this is my first question on StackExchange, I hope that I have adhered to the general conventions when posing questions to the community.
External modules | Version | Licence |
---|---|---|
cryptography | 3.4.7 | Apache |
dataclasses | 0.6 | Apache |
importlib-metadata | 6.1.0 | Apache |
packaging | 21 | Apache |
pyOpenSSL | 20.0.1 | Apache |
python-dateutil | 2.8.1 | Apache |
python-dateutil | 2.8.2 | Apache |
python-editor | 1.0.4 | Apache |
requests | 2.26.0 | Apache |
tornado | 6.1 | Apache |
click | 7.1.2 | BSD |
cloudpickle | 1.6.0 | BSD |
cycler | 0.10.0 | BSD |
cytoolz | 0.11.0 | BSD |
dask | 2021.8.0 | BSD |
decorator | 4.4.2 | BSD |
Flask-SQLAlchemy | 2.4.4 | BSD |
Flask-WTF | 0.14.3 | BSD |
fsspec | 2021.7.0 | BSD |
idna | 2.1 | BSD |
idna | 3.1 | BSD |
imagecodecs | 2021.7.30 | BSD |
imageio | 2.8.0 | BSD |
imageio | 2.9.0 | BSD |
itsdangerous | 1.1.0 | BSD |
Jinja2 | 2.11.2 | BSD |
joblib | 1.0.1 | BSD |
kiwisolver | 1.3.1 | BSD |
llvmlite | 0.39.1 | BSD |
locket | 0.2.0 | BSD |
MarkupSafe | 1.1.1 | BSD |
networkx | 2.6.2 | BSD |
numba | 0.56.4 | BSD |
numpy | 1.17.3 | BSD |
numpy | 1.21.2 | BSD |
olefile | 0.46 | BSD |
pandas | 1.0.3 | BSD |
pandas | 1.3.2 | BSD |
partd | 1.2.0 | BSD |
pooch | 1.4.0 | BSD |
PTable | 0.9.2 | BSD |
pycparser | 2.2 | BSD |
pyserial | 3.4 | BSD |
PySocks | 1.7.1 | BSD |
pywin32-ctypes | 0.2.0 | BSD |
scikit-image | 0.18.2 | BSD |
scipy | 1.4.1 | BSD |
scipy | 1.7.1 | BSD |
threadpoolctl | 2.2.0 | BSD |
tifffile | 2021.8.8 | BSD |
toolz | 0.11.1 | BSD |
Werkzeug | 1.0.1 | BSD |
WTForms | 2.3.3 | BSD |
sklearn | 0 | BSD v3 |
Arrayfire | v3.7.2 | BSD-3 |
Flask | 1.1.2 | BSD-3-Clause |
Flask-Bootstrap | 3.3.7.1 | BSD-3-Clause |
email-validator | 1.1.1 | CC0 |
win-inet-pton | 1.1.0 | Custom |
emailvalidator | 0.3 | Freeware |
chardet | 4.0.0 | LGPL v2.0 |
Pillow | 7.1.2 | HPND |
Pillow | 8.3.1 | HPND |
dnspython | 2.0.0 | ISC |
pygame | 1.9.6 | LGPL |
dominate | 2.5.2 | LGPLv3 |
alembic | 1.4.3 | MIT |
altgraph | 0.17 | MIT |
appdirs | 1.4.4 | MIT |
brotlipy | 0.7.0 | MIT |
cffi | 1.14.6 | MIT |
charset-normalizer | 2.0.0 | MIT |
Flask-Login | 0.5.0 | MIT |
Flask-Migrate | 2.5.3 | MIT |
future | 0.18.2 | MIT |
imutils | 0.5.4 | MIT |
Mako | 1.1.3 | MIT |
nidaqmx | 0.5.7 | MIT |
opencv-python | 4.2.0.34 | MIT |
pyparsing | 2.4.7 | MIT |
pytz | 2019.3 | MIT |
pytz | 2021.1 | MIT |
PyWavelets | 1.1.1 | MIT |
PyYAML | 5.4.1 | MIT |
RangeSlider | 2021.7.4 | MIT |
screeninfo | 0.6.5 | MIT |
six | 1.12.0 | MIT |
six | 1.16.0 | MIT |
SQLAlchemy | 1.3.19 | MIT |
toml | 0.10.2 | MIT |
urllib3 | 1.26.6 | MIT |
visitor | 0.1.3 | MIT |
vulture | 2.7 | MIT |
xmltodict | 0.12.0 | MIT |
zipp | 3.15.0 | MIT |
certifi | 2021.5.30 | Mozilla |
scikit-learn | 0.24.2 | BSD-3 |
Anaconda Python | Propietory | |
Visual Studio 17 Community Edition | 17 | Proprietary |
matplotlib | 3.4.3 | BSD/PSF |
regex | 2019.06.08 | Python |
wincertstore | 0.2 | Python |
pefile | 2019.4.18 | MIT |