Comments (2)
Sorry for late response. Your issue is a special one.
I only started NEST Desktop from bash but I assume
that it would be possible to start it from the Python interface.
I notice two things in your screenshots:
- You have to start NEST Server before starting NEST Desktop. Starting NEST Server from Python will cause some unidentified error that crash the flask server instance. I fixed this problem, when I use older Flask ( < v1.0).
- I registered that NEST Desktop is not able to load json from assets folder.
Is it a kind of permission issue of Jupyter notebook?
I am forward hearing from you whether jupyter notebook is able to work with NEST Desktop and NEST Server.
from nest-desktop-legacy.
I will continue my tests with the nest server in the next days. But I remember to started it, maybe not in the runs with the screenshots.
The second point is exactly the reason, why I opened this issue. NEST Desktop is looking at the wrong place for the assets folder. I want NEST Desktop to look here: "https://jupyter-jsc.fz-juelich.de/user/[email protected]/my_jupyterlab_name/proxy/8050/assets" instead of "https://jupyter-jsc.fz-juelich.de/hub/assets". Is there a way to change the prefix path for the assets folder?
from nest-desktop-legacy.
Related Issues (8)
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from nest-desktop-legacy.