https://github.com/arviz-devs/arviz_dashboard
Bayesian Dashboard built on top of Panel
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (13.9%) to scientific vocabulary
Keywords from Contributors
Repository
Bayesian Dashboard built on top of Panel
Basic Info
- Host: GitHub
- Owner: arviz-devs
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 108 MB
Statistics
- Stars: 8
- Watchers: 9
- Forks: 1
- Open Issues: 22
- Releases: 0
Metadata Files
README.md
ArviZ Dashboard
Exploratory analysis of Bayesian models with dashboards.
Project Overview
This project brings dashboards to ArviZ enabling users to compare different visualizations in the same view and interact with them.
Installation
Contributor installation
We will use mamba to create a virtual environment where we will install a development version of
ArviZ Dashboard. The first step is to follow the instructions here
https://github.com/conda-forge/miniforge#mambaforge
to install the correct version of mamba for your operating system. Note that if you have
conda installed already, you can exchange the command mamba for conda with the same results.
bash
mamba create --name arviz-dashboard pip python
mamba activate arviz-dashboard
Once the virtual environment has been created, and you have activated it with the above commands,
you can install the development requirements for arviz_dashboard with the following commands.
bash
git clone https://github.com/arviz-devs/arviz_dashboard
cd arviz_dashboard
pip install --editable '.[dev,examples]'
Once the package has been installed, we need to install the pre-commit hooks used for maintaining
code hygiene. Run the following commands to set up the required pre-commit hooks for development.
bash
pre-commit install
When you commit your changes to your branch, pre-commit will install the tools defined in the
config file, and check give feedback about required changes in order for the push to pass linting
and formatting tests.
If you add a new hook to the .pre-commit-config.yaml file, run the following command in order to
check if your hook is working against all the files.
bash
pre-commit run --all-files
Contributor installation test
TBD
bash
pytest
Usage
Dashboard usually includes multiple visualizations with different purposes. If you have any problems with certain visualizations, you can find more explanations for the ArviZ visualizations in ArviZ and Bayesian Modeling and Computation in Python
Sponsors
Owner
- Name: ArviZ
- Login: arviz-devs
- Kind: organization
- Website: https://www.arviz.org
- Twitter: arviz_devs
- Repositories: 31
- Profile: https://github.com/arviz-devs
GitHub Events
Total
- Issues event: 12
- Watch event: 2
- Delete event: 2
- Issue comment event: 7
- Push event: 5
- Pull request event: 3
- Pull request review event: 2
- Pull request review comment event: 2
- Create event: 2
Last Year
- Issues event: 12
- Watch event: 2
- Delete event: 2
- Issue comment event: 7
- Push event: 5
- Pull request event: 3
- Pull request review event: 2
- Pull request review comment event: 2
- Create event: 2
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Yilin Xia | x****l@o****m | 5 |
| Andy Maloney | 6****s | 5 |
| Ari Hartikainen | a****n | 3 |
| Osvaldo A Martin | a****a@g****m | 2 |
| ahartikainen | a****n@g****m | 2 |
| Andy Maloney | a****y@m****g | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 29
- Total pull requests: 18
- Average time to close issues: 3 months
- Average time to close pull requests: 2 months
- Total issue authors: 7
- Total pull request authors: 5
- Average comments per issue: 1.21
- Average comments per pull request: 2.06
- Merged pull requests: 13
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 11
- Pull requests: 3
- Average time to close issues: 4 days
- Average time to close pull requests: 8 days
- Issue authors: 4
- Pull request authors: 2
- Average comments per issue: 0.18
- Average comments per pull request: 2.0
- Merged pull requests: 3
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- yilinxia (9)
- amaloney (6)
- ndmlny-qs (6)
- aloctavodia (4)
- zaxtax (2)
- Ganidu123 (1)
- ahartikainen (1)
Pull Request Authors
- yilinxia (7)
- amaloney (6)
- ndmlny-qs (5)
- ahartikainen (2)
- aloctavodia (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- arviz *
- bokeh *
- panel *
- streamz *