add citation information
Nobody has claimed this yet.
Assessment
- Difficulty
- 1/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 35/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- jupyter-notebook
- Domain
- documentation
Research direction
Start by checking the repository README and any existing citation metadata. Determine the preferred authorship and citation format from the repository information, then document it in the README or a citation file so users can cite ipympl consistently.
Written by the indexing model from the issue text.
Description
I'd like to cite jupyter-matplotlib in something I'm working on. What is the preferred citation information for this repository? If I use Zotero to scrape the metadata this is what I get:
@misc{jupyter-matplotlib_2019,
title = {jupyter-matplotlib},
copyright = {BSD-3-Clause},
url = {https://github.com/matplotlib/jupyter-matplotlib},
abstract = {Matplotlib Jupyter Extension. Contribute to matplotlib/jupyter-matplotlib development by creating an account on GitHub.},
urldate = {2019-11-19},
publisher = {{Matplotlib Developers}},
month = nov,
year = {2019},
note = {original-date: 2016-07-21T14:38:56Z},
}
however, I'm not sure of how authorship should be determined? I could list all 13 contributors of this repository, or it could be "Matplotlib Developers", or something else? What would be best here?
I'm happy to contribute this information back into the repo in the readme or a citation file if you'd like too.
- Dominant language
- Jupyter Notebook
- Stars
- 1.7k
- Forks
- 234
- PR merge metrics
- No merged PRs in 30d
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from matplotlib/ipympl
-
Difficulty 4/5 3-5 days Newbie friendliness 35/100
matplotlib/ipympl#623 · 1 comment ·
-
Difficulty 4/5 3-5 days Newbie friendliness 35/100
matplotlib/ipympl#622 · 13 comments ·
-
Difficulty 4/5 3-5 days Newbie friendliness 42/100
matplotlib/ipympl#612 ·
-
Difficulty 3/5 1-2 days Newbie friendliness 45/100
matplotlib/ipympl#611 · 4 comments ·
-
Difficulty 4/5 3-5 days Newbie friendliness 42/100
matplotlib/ipympl#609 · 7 comments ·
All issues in matplotlib/ipympl
Similar issues
-
triage
Difficulty 1/5 1-3 hours Newbie friendliness 88/100
-
enhancement
Difficulty 2/5 1-3 hours Newbie friendliness 72/100
-
feature pydanty:is-working
Difficulty 1/5 Under an hour Newbie friendliness 88/100
pydantic/pydantic-ai#8647 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
-
:watch: Not Triaged dotnet-fsharp/svc
Difficulty 1/5 Under an hour Newbie friendliness 90/100