ltron | LTRON is an environment for interactive machine learning

by aaronwalsman Python Version: 1.0.4 License: Non-SPDX

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

kandi X-RAY | ltron Summary

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

ltron

Support

Quality

Security

License

Reuse

Support

ltron has a low active ecosystem.

It has 50 star(s) with 5 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 1 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ltron is 1.0.4

Quality

ltron has no bugs reported.

Security

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

License

ltron has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

Deployable package is available in PyPI.

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

Installation instructions are not available. Examples and code snippets are available.

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ltron Key Features

No Key Features are available at this moment for ltron.

ltron Examples and Code Snippets

No Code Snippets are available at this moment for ltron.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install ltron

You can install using 'pip install ltron' or download it from GitHub, PyPI.
You can use ltron 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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