piku | tiniest PaaS | Platform As A Service library

by piku Python Version: legacy License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | piku Summary

piku is a Python library typically used in Cloud, Platform As A Service, Nodejs, Docker, Raspberry Pi, Ubuntu applications. piku 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.

The tiniest Heroku/CloudFoundry-like PaaS you've ever seen. piku, inspired by dokku, allows you do git push deployments to your own servers.

Support

Quality

Security

License

Reuse

Support

piku has a medium active ecosystem.

It has 2198 star(s) with 72 fork(s). There are 27 watchers for this library.

It had no major release in the last 12 months.

There are 12 open issues and 135 have been closed. On average issues are closed in 140 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of piku is legacy

Quality

piku has 0 bugs and 0 code smells.

Security

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

piku code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

piku 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

piku releases are available to install and integrate.

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

Installation instructions, examples and code snippets are available.

It has 1355 lines of code, 53 functions and 9 files.

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

Top functions reviewed by kandi - BETA

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

Spawns an application .
Spawn a worker .
Deploy the app .
Create a node for an app .
Return a list of log files .
Setup the environment .
Parse a procfile .
Deploy the given app to the repo .
Delete all files
Deploys the given app into the environment .

Get all kandi verified functions for this library.

piku Key Features

No Key Features are available at this moment for piku.

piku Examples and Code Snippets

Making a spirit level

Lines of Code : 0

License : Non-SPDX (NOASSERTION)

Copy

xlights = (pyb.LED(2), pyb.LED(3))
ylights = (pyb.LED(1), pyb.LED(4))
accel = pyb.Accel()
SENSITIVITY = 3
while True:
    x = accel.x()
    if x > SENSITIVITY:
        xlights[0].on()
        xlights[1].off()
    elif x < -SENSITIVITY:

Community Discussions

Trending Discussions on piku

How does average_neighbor_degree method works in networkX for directed graphs?

create view for two different dataframe in scala spark

bash group by word and concat

QUESTION

How does average_neighbor_degree method works in networkX for directed graphs?

Asked 2022-Mar-10 at 09:18

Could someone explain me how does method average_neighbor_degree from networkX works? For normal graphs (not directed) results match with my intuition and my hand calculation, but I have problem with directed graphs - I don't understand how it's calculated and my hand calculation give different results then this method. My graph:

[Example directed graph]

I've run average_neighbor_degree with every possible combination with params source and target which implies basic attributes for directed graph. Here's my code and results:

...

ANSWER

Answered 2022-Mar-10 at 09:18

I think you ran into this issue. The old code contained some weird normalisation (setting to 1 if respective degree is 0). This was changed in 2.6. The latest version, see code here should work as intended.

Source https://stackoverflow.com/questions/71414368

QUESTION

create view for two different dataframe in scala spark

Asked 2020-Sep-03 at 14:47

I have a code snippet that will read a Json array of the file path and then union the output and gives me two different tables. So I want to create two different createOrReplaceview(name) for those two tables and the name will be available in json array like below:

...

ANSWER

Answered 2020-Sep-03 at 14:47

Since you already have your data wrangled into shape and have your rows in DataFrames and simply want to access them as temporary views, I suppose you are looking for the function(s):

They can be invoked from a DataFrame/Dataset.

Source https://stackoverflow.com/questions/63721220

QUESTION

bash group by word and concat

Asked 2020-Jan-13 at 06:10

I have a file that looks like:

...

ANSWER

Answered 2020-Jan-09 at 17:27

Could you please try following.

Source https://stackoverflow.com/questions/59668871

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

Vulnerabilities

No vulnerabilities reported

Install piku

To use piku you need a VPS, Raspberry Pi, or other server bootstrapped with piku's requirements. You can use a single server to run multiple piku apps.
Use cloud-init when creating a new virtual machine (check this repository for an example suitable for most public cloud providers)
Use piku-bootstrap to reconfigure a new or existing virtual machine

Support

piku is intended to work in any POSIX-like environment where you have Python, uWSGI and SSH, i.e.: Linux, FreeBSD, Cygwin and the Windows Subsystem for Linux. As a baseline, it began its development on an original, 256MB Rasbperry Pi Model B, and still runs reliably on it. Since I have an ODROID-U2, a bunch of Pi 2s and a few more ARM boards on the way, it is often tested on a number of places where running x64 binaries is unfeasible. But there are already a few folk using piku on vanilla x64 Linux without any issues whatsoever, so yes, you can use it as a micro-PaaS for 'real' stuff. Your mileage may vary.

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