tesladata | Poll information from your Tesla and put it in a Mongo

by Mosibi Python Version: Current License: Apache-2.0

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kandi X-RAY | tesladata Summary

tesladata is a Python library. tesladata has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

I stopped developing Tesladata and started using TeslaMate. When you want to have a non-cloud logger for your Tesla, my advice is to checkout TeslaMate. For future reference, this project will be hosted on Github, the previous README.md is moved to OLD_README.md.

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Quality

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License

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Support

tesladata has a low active ecosystem.

It has 0 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

tesladata has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tesladata is current.

Quality

tesladata has no bugs reported.

Security

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

License

tesladata is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

tesladata releases are not available. You will need to build from source code and install.

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

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tesladata Key Features

No Key Features are available at this moment for tesladata.

tesladata Examples and Code Snippets

No Code Snippets are available at this moment for tesladata.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install tesladata

You can download it from GitHub.
You can use tesladata 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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