Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (13.2%) to scientific vocabulary
Keywords
Repository
Power tree analysis of circuits, boards and systems.
Basic Info
- Host: GitHub
- Owner: geddy11
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://sysloss.readthedocs.io/en/latest/Getting%20started.html
- Size: 4.31 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 14
Topics
Metadata Files
README.md
sysLoss
sysLoss is a tool for analyzing power trees, system power and losses. From the smallest IoT sensor to large industrial installations. The tool is efficient and easy to use, the analysis result provides a detailed report on voltages, currents, power and efficiency for every component defined in the system. Output format is Pandas DataFrame: Create charts, plots and export to Excel and other formats.
Installation
bash
$ pip install sysloss
or
bash
$ conda install conda-forge::sysloss
Usage
Analyze the power tree of a simple battery-powered bluetooth sensor: ```python from sysloss.components import * from sysloss.system import System
bts = System("Bluetooth sensor", Source("CR2032", vo=3.0, rs=10))
bts.addcomp("CR2032", comp=Converter("Buck 1.8V", vo=1.8, eff=0.87))
bts.addcomp("Buck 1.8V", comp=PLoad("MCU", pwr=13e-3))
bts.addcomp("CR2032", comp=Converter("Boost 5V", vo=5.0, eff=0.82))
bts.addcomp("Boost 5V", comp=RLoss("RC filter", rs=6.8))
bts.add_comp("RC filter", comp=ILoad("Sensor", ii=6e-3))
bts.tree()
Bluetooth sensor
└── CR2032
├── Boost 5V
│ └── RC filter
│ └── Sensor
└── Buck 1.8V
└── MCU
python
df = bts.solve()
print(df)
```

Create graphical power tree diagrams: ```python import sysloss.diagram as sd
sd.make_diag(bts, fname="bts.png")
```

And heat diagrams:
python
sd.make_hdiag(bts, fname="bts-heat.png")

Documentation
The documentation includes tutorials in the form of Jupyter notebooks, located in docs/nb.
Contributing
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
License
sysloss was created by Geir Drange. It is licensed under the terms of the MIT license.
Owner
- Name: Geir Drange
- Login: geddy11
- Kind: user
- Location: Norway
- Repositories: 5
- Profile: https://github.com/geddy11
Citation (CITATION.cff)
cff-version: 1.2.0
title: sysLoss
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Geir
family-names: Drange
affiliation: Inventas AS
orcid: 'https://orcid.org/0009-0009-6795-8583'
identifiers:
- type: doi
value: 10.5281/zenodo.11086060
repository-code: 'https://github.com/geddy11/sysloss'
url: 'https://github.com/geddy11/sysloss'
abstract: sysLoss is a tool for analyzing system power and losses.
keywords:
- system
- power
- loss
license: MIT
version: "1.10.0"
GitHub Events
Total
- Create event: 6
- Issues event: 1
- Release event: 6
- Push event: 35
Last Year
- Create event: 6
- Issues event: 1
- Release event: 6
- Push event: 35