https://github.com/nixtla/datasetsforecast
Datasets for time series forecasting
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
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (3.9%) to scientific vocabulary
Keywords
datasets
forecasting
Last synced: 6 months ago
·
JSON representation
Repository
Datasets for time series forecasting
Basic Info
- Host: GitHub
- Owner: Nixtla
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://nixtlaverse.nixtla.io/datasetsforecast
- Size: 1.42 MB
Statistics
- Stars: 107
- Watchers: 8
- Forks: 10
- Open Issues: 6
- Releases: 8
Topics
datasets
forecasting
Created over 3 years ago
· Last pushed 6 months ago
Metadata Files
Readme
Contributing
License
Code of conduct
README.md
datasetsforecast
Datasets for time series forecasting
Install
sh
pip install datasetsforecast
Datasets
How to use
All the modules have a load method which you can use to load the
dataset for a specific group. If you don’t have the data locally it will
be downloaded for you.
python
from datasetsforecast.phm2008 import PHM2008
python
train_df, test_df = PHM2008.load(directory='data', group='FD001')
train_df.shape, test_df.shape
((20631, 17), (13096, 17))
Owner
- Name: Nixtla
- Login: Nixtla
- Kind: organization
- Email: ops@nixtla.io
- Location: United States of America
- Website: https://www.nixtla.io/
- Twitter: nixtlainc
- Repositories: 13
- Profile: https://github.com/Nixtla
Open Source Time Series Ecosystem
GitHub Events
Total
- Create event: 14
- Issues event: 4
- Release event: 1
- Watch event: 28
- Delete event: 10
- Member event: 1
- Issue comment event: 9
- Push event: 36
- Pull request review event: 12
- Pull request review comment event: 11
- Pull request event: 25
- Fork event: 2
Last Year
- Create event: 14
- Issues event: 4
- Release event: 1
- Watch event: 28
- Delete event: 10
- Member event: 1
- Issue comment event: 9
- Push event: 36
- Pull request review event: 12
- Pull request review comment event: 11
- Pull request event: 25
- Fork event: 2
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 12
- Total pull requests: 54
- Average time to close issues: 4 months
- Average time to close pull requests: 4 days
- Total issue authors: 12
- Total pull request authors: 9
- Average comments per issue: 1.25
- Average comments per pull request: 0.54
- Merged pull requests: 45
- Bot issues: 0
- Bot pull requests: 18
Past Year
- Issues: 3
- Pull requests: 23
- Average time to close issues: 3 months
- Average time to close pull requests: about 20 hours
- Issue authors: 3
- Pull request authors: 3
- Average comments per issue: 2.33
- Average comments per pull request: 0.09
- Merged pull requests: 17
- Bot issues: 0
- Bot pull requests: 17
Top Authors
Issue Authors
- mergenthaler (2)
- hewsond (1)
- AzulGarza (1)
- leejoonhun (1)
- hansk0812 (1)
- FedericoGarza (1)
- tianke0711 (1)
- Sandy4321 (1)
- robinzixuan (1)
- kdgutier (1)
- marcopeix (1)
- NasreddineD (1)
Pull Request Authors
- dependabot[bot] (30)
- jmoralez (12)
- FedericoGarza (11)
- kdgutier (4)
- deven367 (4)
- tracykteal (2)
- rpmccarter (2)
- leejoonhun (2)
- hahnbeelee (1)
Top Labels
Issue Labels
awaiting response (1)
bug (1)
Pull Request Labels
dependencies (30)
documentation (4)
github_actions (3)
feature (2)
enhancement (1)
Dependencies
environment.yml
pypi
- nbdev *
- tqdm *
docs/Gemfile
rubygems
- jekyll >= 3.7
- jekyll-remote-theme >= 0