Let's get the band back together!
There have been so many nice things published recently that it's worth warming this back up.
Some ideas (please feel free to add more):
Packages
| new? |
package |
version |
conda-forge? |
rf4? |
notes |
| 0 |
Python |
3.8 |
1 |
1 |
|
| 0 |
JupyterLab 3 |
3.0.x |
1 |
- |
|
| 0 |
Robot Framwork |
4.x |
1 |
1 |
|
| 0 |
Firefox |
78 LTS |
1 |
- |
|
| ? |
xeus-robot |
0.3.3 |
1 |
1 |
discussion below |
| 0 |
robotkernel |
1.5.0 |
1 |
1 |
|
| 0 |
robotframework-jupyterlibrary |
0.3.1 |
1 |
1 |
|
| 1 |
jupyterlab_robotmode |
0.3.1 |
1 |
1 |
|
| 0 |
jupyterlab-starters |
1.0.2 |
1 |
- |
|
| 1 |
jupyterlab-tour |
3.0.1 |
1 |
- |
|
| 1 |
jupyterlab-lsp |
3.6.0 |
1 |
- |
|
| 1 |
robotframework-lsp |
0.15.0 |
1 |
1 |
|
| 1 |
robotframework-robocop |
1.7.1 |
1 |
1 |
|
| 0 |
restinstance |
1.0.2 |
1 |
? |
|
Infra
- adapt build from gt-coarl-lab
- use
doit
- use GitHub Actions (it actually generates most of the workflow scripts)
for posterity:
Hooray JupyterLab 2.0!
https://pypi.org/project/jupyterlab/2.0.0/
Looks like RF 3.2 is also dangerously close:
https://github.com/robotframework/robotframework/milestone/48
It may also be worth considering moving to python 3.8, as the whole Jupyter stack (at least) is good to go on windows (that was a mess 😝)
I can't commit to a bunch of time to move the ball forward right now, but am going to start tinkering on various things (like jupyterlab-starters) so that we're in a better spot when it's go-time.
Let's get the band back together!
There have been so many nice things published recently that it's worth warming this back up.
Some ideas (please feel free to add more):
Packages
3.83.0.x4.x78 LTS0.3.31.5.00.3.10.3.11.0.23.0.13.6.00.15.01.7.11.0.2Infra
doit