fit-weight-scale | Quick hack to create weight scale .FIT files
kandi X-RAY | fit-weight-scale Summary
kandi X-RAY | fit-weight-scale Summary
fit-weight-scale is a Python library. fit-weight-scale has no bugs, it has no vulnerabilities and it has low support. However fit-weight-scale build file is not available. You can download it from GitHub.
Garmin .FIT file weight scale creator for Python. Using the file encoder from ikasamah/withings-garmin, simplified to only support weight measurements. Also making use of dtcooper/python-fitparse, to print out FIT file contents. This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License.
Garmin .FIT file weight scale creator for Python. Using the file encoder from ikasamah/withings-garmin, simplified to only support weight measurements. Also making use of dtcooper/python-fitparse, to print out FIT file contents. This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License.
Support
Quality
Security
License
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Support
fit-weight-scale has a low active ecosystem.
It has 3 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
fit-weight-scale has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of fit-weight-scale is current.
Quality
fit-weight-scale has no bugs reported.
Security
fit-weight-scale has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
fit-weight-scale does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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fit-weight-scale releases are not available. You will need to build from source code and install.
fit-weight-scale has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed fit-weight-scale and discovered the below as its top functions. This is intended to give you an instant insight into fit-weight-scale implemented functionality, and help decide if they suit your requirements.
- Write a weight scale
- Get the file format
- Parses the content of the given content
- Pack value into binary format
- Create record header
- Convert timestamp to UTC
- Write the header
- Calculate the checksum of a given byte array
- Calculate the CRC of the packet
- Get the size of the buffer
- Write a fits header
- Return a dict representation of the object
- Return an iterator over the fields
- Items and data
Get all kandi verified functions for this library.
fit-weight-scale Key Features
No Key Features are available at this moment for fit-weight-scale.
fit-weight-scale Examples and Code Snippets
No Code Snippets are available at this moment for fit-weight-scale.
Community Discussions
No Community Discussions are available at this moment for fit-weight-scale.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install fit-weight-scale
You can download it from GitHub.
You can use fit-weight-scale 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.
You can use fit-weight-scale 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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