Reticulum | based networking stack for building unstoppable networks | Networking library

by markqvist Python Version: 0.5.5 License: MIT

X-Ray Key Features Code Snippets(2)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | Reticulum Summary

Reticulum is a Python library typically used in Telecommunications, Media, Media, Entertainment, Networking applications. Reticulum has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

Reticulum Network Stack β.

Support

Quality

Security

License

Reuse

Support

Reticulum has a medium active ecosystem.

It has 1195 star(s) with 77 fork(s). There are 46 watchers for this library.

There were 5 major release(s) in the last 12 months.

There are 5 open issues and 71 have been closed. On average issues are closed in 8 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Reticulum is 0.5.5

Quality

Reticulum has 0 bugs and 0 code smells.

Security

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

Reticulum code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Reticulum 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

Reticulum releases are available to install and integrate.

Build file is available. You can 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 Reticulum and discovered the below as its top functions. This is intended to give you an instant insight into Reticulum implemented functionality, and help decide if they suit your requirements.

Outbound packet
Return the announcement announced
Load private key
Create an identity from a bytes object
Execute rNS
Identify the identity of the sender
Saves the identity to a file
Prepare an identity file
Perform a resource request
Initialise a client
Execute a received command
Start a new RNS tunnel
Start a new I2P tunnel
Send a configuration file to a destination
Start the Transport
Read data from the process
Send a request
Receive messages from configdir
Start the connection
Validate incoming packet
Listen to events
Generate an element of the given seed
Test the AES class
Setup reticulum
Read loop
Handle incoming packet

Get all kandi verified functions for this library.

Reticulum Key Features

No Key Features are available at this moment for Reticulum.

Reticulum Examples and Code Snippets

Sideband,How do I get started?

Python

Lines of Code : 6

License : Strong Copyleft (GPL-3.0)

Copy

# Install Sideband and dependencies
pip install sbapp

# Run it
sideband

ERNet - Segmentation of Endoplasmic Reticulum microscopy images,Training data :bar_chart:

Jupyter Notebook

Lines of Code : 1

License : No License

Copy

python buildTrainingData.py

Community Discussions

Trending Discussions on Reticulum

Dash: How to select data points either in the table which updates the plot and on the graph which updates the selection on the table?

Plot table next to plot and below legend in ggplot2

Plotly/Dash: How to make row indices unique?

QUESTION

Dash: How to select data points either in the table which updates the plot and on the graph which updates the selection on the table?

Asked 2022-Jan-13 at 09:35

I am new on dash and plotly solutions. I am wondering if it is possible to join both approaches in the same application. Selecting the points, update the checkbox and then unselect some checkbox updating the row color. I have this code that i found here: https://community.plotly.com/t/dash-how-to-select-data-points-either-in-the-table-which-updates-the-plot-or-on-the-graph-which-updates-the-selection-on-the-table/46674, but I don't know how to do. Thanks.

...

ANSWER

Answered 2022-Jan-12 at 08:44

You should combine the two callbacks into one, using dash.callback_context to flow-control as explained in the documentation here.

As possible solution:

Source https://stackoverflow.com/questions/70673783

QUESTION

Plot table next to plot and below legend in ggplot2

Asked 2021-Mar-26 at 09:56

I have this data frame and table:

...

ANSWER

Answered 2021-Mar-26 at 09:06

Extract the legend as grob, then use layout matrix, see example:

Source https://stackoverflow.com/questions/66813118

QUESTION

Plotly/Dash: How to make row indices unique?

Asked 2020-Oct-20 at 12:27

The goal: Selected points (use Lasso-tool) in the scatter-plot should be highlighted in the data-table. Use dash-JS-callbacks if possible, but any other solution would also be greatly appreciated.

The issue: The row_index is not unique, but they are repeated within each category (trace). Therefore, if you e.g. highlight the 3 largest dots in the top left of the scatter-plot. Only 2 but not 3 rows get highlighted. And only 1 of the 2 is actually correct. Please check this by comparing the labels on hovering over a point in the plot with the information in the data-table.

The question/solution: How can I make the row-indices of the data-table unique? Or select the proper rows to highlight in another way?

Requirements:

pandas
dash
dash_bootstrap_components
plotly

The code:

...

ANSWER

Answered 2020-Oct-20 at 12:27

The following code blocks need to be substituted. Then it works. The trick is to not use the redundant row_indices, but to use the "term" column as "id". Since the "term" can be extracted from the "point" of the scatter-plot via "custom_data", it can subsequently be used with a "filter_query" to find the corresponding row in the data_table.

Source https://stackoverflow.com/questions/64429521

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

Vulnerabilities

No vulnerabilities reported

Install Reticulum

You can download it from GitHub.
You can use Reticulum 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 .

Find more information at: