demandlib | Creating heat and power demand profiles from annual values

by oemof Python Version: 0.1.9 License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | demandlib Summary

demandlib is a Python library. demandlib has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install demandlib' or download it from GitHub, PyPI.

Creating heat and power demand profiles from annual values.

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Quality

Security

License

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Support

demandlib has a low active ecosystem.

It has 32 star(s) with 26 fork(s). There are 11 watchers for this library.

It had no major release in the last 12 months.

There are 9 open issues and 21 have been closed. On average issues are closed in 311 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of demandlib is 0.1.9

Quality

demandlib has 0 bugs and 0 code smells.

Security

demandlib has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

demandlib code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

demandlib is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

demandlib releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

It has 473 lines of code, 20 functions and 13 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed demandlib and discovered the below as its top functions. This is intended to give you an instant insight into demandlib implemented functionality, and help decide if they suit your requirements.

Returns the bewee profile
Get the temperature interval
Reads the csv file
Calculate the weighted average temperature
Retrieve weekday parameters from a csv file
Reads the sigmoid factors from a csv file
Calculates the normalized heat profile
Compute all load profiles
Create a bew load profile
Add weekdays to a DataFrame
Creates a bootstrap environment
Runs subprocess
Plots a simple profile
Compute the profile for the given ann
Read a file
Setup sphinx extension

Get all kandi verified functions for this library.

demandlib Key Features

No Key Features are available at this moment for demandlib.

demandlib Examples and Code Snippets

No Code Snippets are available at this moment for demandlib.

Community Discussions

No Community Discussions are available at this moment for demandlib.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install demandlib

You can install using 'pip install demandlib' or download it from GitHub, PyPI.
You can use demandlib like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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