https://github.com/lincc-frameworks/lsdb-custom-graphs
https://github.com/lincc-frameworks/lsdb-custom-graphs
Last synced: 19 days ago
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- Host: GitHub
- URL: https://github.com/lincc-frameworks/lsdb-custom-graphs
- Owner: lincc-frameworks
- License: mit
- Created: 2026-04-07T02:16:14.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2026-04-23T23:10:25.000Z (2 months ago)
- Last Synced: 2026-04-24T00:28:08.761Z (2 months ago)
- Language: Python
- Size: 866 KB
- Stars: 0
- Watchers: 0
- Forks: 1
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# lsdb-custom-graphs
[](https://lincc-ppt.readthedocs.io/en/latest/)
[](https://pypi.org/project/lsdb-custom-graphs/)
[](https://github.com/smcguire-cmu/lsdb-custom-graphs/actions/workflows/smoke-test.yml)
[](https://codecov.io/gh/smcguire-cmu/lsdb-custom-graphs)
[](https://smcguire-cmu.github.io/lsdb-custom-graphs/)
This project was automatically generated using the LINCC-Frameworks
[python-project-template](https://github.com/lincc-frameworks/python-project-template).
A repository badge was added to show that this project uses the python-project-template, however it's up to
you whether or not you'd like to display it!
For more information about the project template see the
[documentation](https://lincc-ppt.readthedocs.io/en/latest/).
## Dev Guide - Getting Started
Before installing any dependencies or writing code, it's a great idea to create a
virtual environment. LINCC-Frameworks engineers primarily use `conda` to manage virtual
environments. If you have conda installed locally, you can run the following to
create and activate a new environment.
```
>> conda create -n python=3.11
>> conda activate
```
Once you have created a new environment, you can install this project for local
development using the following commands:
```
>> ./.setup_dev.sh
>> conda install pandoc
```
Notes:
1. `./.setup_dev.sh` will initialize pre-commit for this local repository, so
that a set of tests will be run prior to completing a local commit. For more
information, see the Python Project Template documentation on
[pre-commit](https://lincc-ppt.readthedocs.io/en/latest/practices/precommit.html)