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I tried this a couple of months ago, I found what it's trying to do very pleasant to use but the tooling around it is very annoying. The up-to-date version 2 is

I tried this a couple of months ago, I found what it's trying to do very pleasant to use but the tooling around it is very annoying. The up-to-date version 2 isn't on pypi, conda is thoroughly unpleasant to have as an environment. There seems to be a drive to using it inside it's own editor https://github.com/CadQuery/CQ-editor https://github.com/CadQuery/CQ-editor while nice seems like wasted engineering effort in developing an editor when the language needs so much work. I didn't have much success structuring cad into modules as they wouldn't import well. The point IMO of parametric cad in an existing language is to use the ecosystem. Lots of choices in this project make that really hard.

bb88 5y ago
Yeah, I think their approach to blaming PyPi for not being able to distribute their 1GB standard install is really putting the blame on the wrong people. https://github.com/CadQuery/cadquery/issues/153#issuecomment-867371860 https://github.com/CadQuery/cadquery/issues/153#issuecomment... As an example of an approach that doesn't break Pypi, nltk distributes through Pypi but has an download() method for installation. https://pypi.org/project/nltk/ https://pypi.org/project/nltk/ https://www.nltk.org/data.html https://www.nltk.org/data.html The fact they're hostile towards pip (and ergo pipenv and poetry) just make it less than appealing software to want to use.
- dr_zoidberg 5y ago
  1GB is huge for PyPI. In this kind of situations, is there a good way to provide a PyPI install while providing a secondary channel to download the massive assests? Say that I was distributing a project that relies on a few large binaries, and still want it to be pip-installable, what would be the best way to do that?
ur-whale 5y ago
> conda is thoroughly unpleasant to have as an environment. Understatement, if there ever was one. Installing conda will maim your system irrevocably.
jkic47 5y ago
I actually found it fairly intuitive to use for an admittedly simple use-case, but I agree with you on CQ-editor being sub-optimal. The docs could have provided an example of displaying / saving assemblies to popular image formats
ireneu 5y ago
Fully agree that the tooling and setup are not ideal. In case this may help others, I've been using Jupyter-CadQuery [0], an extension for JupyterLab to view your models in a side panel within the Jupyter notebook web interface. There's a docker image that packages the whole thing (CadQuery + JupyterLab + the extension) in the docker folder, making it easy to run and to update. The image is also available from docker hub [1]. On a more general note, I've mostly been using CadQuery to model pieces for 3d printing and the experience has been quite fun. Errors are not always easy to figure out and there's a learning curve to consider, but being able to "simply" describe my model in code instead of relying lots of [point|drag|click] is totally worth it. It was also a nice way to refresh my geometry knowledge. [0] https://github.com/bernhard-42/jupyter-cadquery https://github.com/bernhard-42/jupyter-cadquery [1] https://hub.docker.com/r/bwalter42/jupyter_cadquery https://hub.docker.com/r/bwalter42/jupyter_cadquery

bb88 5y ago

Yeah, I think their approach to blaming PyPi for not being able to distribute their 1GB standard install is really putting the blame on the wrong people. https://github.com/CadQuery/cadquery/issues/153#issuecomment-867371860 https://github.com/CadQuery/cadquery/issues/153#issuecomment... As an example of an approach that doesn't break Pypi, nltk distributes through Pypi but has an download() method for installation. https://pypi.org/project/nltk/ https://pypi.org/project/nltk/ https://www.nltk.org/data.html https://www.nltk.org/data.html The fact they're hostile towards pip (and ergo pipenv and poetry) just make it less than appealing software to want to use.

dr_zoidberg 5y ago
1GB is huge for PyPI. In this kind of situations, is there a good way to provide a PyPI install while providing a secondary channel to download the massive assests? Say that I was distributing a project that relies on a few large binaries, and still want it to be pip-installable, what would be the best way to do that?

ur-whale 5y ago

> conda is thoroughly unpleasant to have as an environment. Understatement, if there ever was one. Installing conda will maim your system irrevocably.

jkic47 5y ago

I actually found it fairly intuitive to use for an admittedly simple use-case, but I agree with you on CQ-editor being sub-optimal. The docs could have provided an example of displaying / saving assemblies to popular image formats

ireneu 5y ago

Fully agree that the tooling and setup are not ideal. In case this may help others, I've been using Jupyter-CadQuery [0], an extension for JupyterLab to view your models in a side panel within the Jupyter notebook web interface. There's a docker image that packages the whole thing (CadQuery + JupyterLab + the extension) in the docker folder, making it easy to run and to update. The image is also available from docker hub [1]. On a more general note, I've mostly been using CadQuery to model pieces for 3d printing and the experience has been quite fun. Errors are not always easy to figure out and there's a learning curve to consider, but being able to "simply" describe my model in code instead of relying lots of [point|drag|click] is totally worth it. It was also a nice way to refresh my geometry knowledge. [0] https://github.com/bernhard-42/jupyter-cadquery https://github.com/bernhard-42/jupyter-cadquery [1] https://hub.docker.com/r/bwalter42/jupyter_cadquery https://hub.docker.com/r/bwalter42/jupyter_cadquery