EnTiSe
Provides a flexible, pipeline- and strategy-based approach to create time series for different applications including HVAC, domestic hot water, electricity, mobility, and occupancy patterns.
https://github.com/tum-ens/entise
Category: Energy Systems
Sub Category: Load and Demand Forecasting
Keywords
demand energy generation time-series
Last synced: about 1 hour ago
JSON representation
Repository metadata
A python package to create energy time series
- Host: GitHub
- URL: https://github.com/tum-ens/entise
- Owner: tum-ens
- License: mit
- Created: 2025-04-08T08:31:02.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2026-07-06T10:20:18.000Z (22 days ago)
- Last Synced: 2026-07-12T18:03:10.714Z (15 days ago)
- Topics: demand, energy, generation, time-series
- Language: Python
- Homepage: https://entise.readthedocs.io
- Size: 39 MB
- Stars: 4
- Watchers: 6
- Forks: 1
- Open Issues: 1
- Releases: 5
-
Metadata Files:
- Readme: .gitlab/README.md
- Changelog: CHANGELOG.md
- License: LICENSE
.gitlab/README.md
Note
The templates are both in .md and .yml. For now gitlab does not support .yml files in the .gitlab folder. So we will
use the .md files. Delete them once .yml files are supported.
Owner metadata
- Name: Chair of Renewable and Sustainable Energy Systems
- Login: tum-ens
- Email:
- Kind: organization
- Description:
- Website: http://www.ens.ei.tum.de
- Location: Technical University of Munich
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/8157454?v=4
- Repositories: 18
- Last ynced at: 2024-03-18T00:21:03.075Z
- Profile URL: https://github.com/tum-ens
GitHub Events
Total
- Release event: 1
- Delete event: 2
- Push event: 33
- Create event: 6
Last Year
- Delete event: 2
- Push event: 17
Committers metadata
Last synced: 3 days ago
Total Commits: 382
Total Committers: 3
Avg Commits per committer: 127.333
Development Distribution Score (DDS): 0.039
Commits in past year: 168
Committers in past year: 3
Avg Commits per committer in past year: 56.0
Development Distribution Score (DDS) in past year: 0.089
| Name | Commits | |
|---|---|---|
| TUM-Doepfert | m****t@t****e | 367 |
| 0000000014B3A66 | g****d@t****e | 12 |
| Maximiliano Fernando Escobar Viegas | g****h@m****e | 3 |
Committer domains:
Issue and Pull Request metadata
Last synced: 13 days ago
Total issues: 0
Total pull requests: 1
Average time to close issues: N/A
Average time to close pull requests: 23 days
Total issue authors: 0
Total pull request authors: 1
Average comments per issue: 0
Average comments per pull request: 1.0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 1
Past year average time to close issues: N/A
Past year average time to close pull requests: 23 days
Past year issue authors: 0
Past year pull request authors: 1
Past year average comments per issue: 0
Past year average comments per pull request: 1.0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
Top Pull Request Authors
- kadirrkalkann (1)
Top Issue Labels
Top Pull Request Labels
- enhancement (1)
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 196 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 6
- Total maintainers: 2
pypi.org: entise
A tool for generating time series data related to energy systems and building operations
- Homepage: https://gitlab.lrz.de/tum-ens/need/entise
- Documentation: https://entise.readthedocs.io
- Licenses: MIT
- Latest release: 1.3.0 (published 22 days ago)
- Last Synced: 2026-07-25T00:00:53.673Z (3 days ago)
- Versions: 6
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 196 Last month
-
Rankings:
- Dependent packages count: 9.039%
- Average: 29.984%
- Dependent repos count: 50.929%
- Maintainers (2)
Dependencies
- Jinja2 *
- myst-nb *
- sphinx *
- sphinx-autoapi *
- sphinx_rtd_theme *
- sphinxcontrib-mermaid *
- cattrs *
- chardet >=5.0.0
- demandlib *
- holidays >=0.50
- joblib >=1.0.0
- matplotlib >=3.1.0
- notebook >=7.5.4
- numpy >=2.0.0
- openmeteo-requests *
- pandas <3.0.0
- pint *
- pvlib >=0.12.0
- pyloadprofilegenerator *
- requests-cache *
- retry-requests *
- tqdm >=4.0.0
- windpowerlib *
- actions/checkout v3 composite
- actions/setup-python v4 composite
Score: 7.996317231796745