aping | Latency monitoring using python asyncio , influxdb | Dashboard library

by zehome Python Version: Current License: No License

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

kandi X-RAY | aping Summary

aping is a Python library typically used in Analytics, Dashboard, Grafana applications. aping has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Latency monitoring (a bit like smokeping) using python asyncio, influxdb and grafana.

Support

Quality

Security

License

Reuse

Support

aping has a low active ecosystem.

It has 7 star(s) with 3 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of aping is current.

Quality

aping has 0 bugs and 0 code smells.

Security

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

aping code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

aping 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.

Reuse

aping 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.

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

It has 313 lines of code, 28 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Monitor tasks on InfluxDB
Parse build_targets file .
read line from Influxdb
Get fping probers
Run the application .
Encodes the message into a line .
Initialize connection .
Return a dict representation of the connection .
Splits l into lists .
Return the tags for the given probername .

Get all kandi verified functions for this library.

aping Key Features

No Key Features are available at this moment for aping.

aping Examples and Code Snippets

No Code Snippets are available at this moment for aping.

Community Discussions

Trending Discussions on aping

How can I write a SQL query to calculate the quantity of components sold with their parent assemblies? (Postgres 11/recursive CTE?)

QUESTION

How can I write a SQL query to calculate the quantity of components sold with their parent assemblies? (Postgres 11/recursive CTE?)

Asked 2021-Mar-05 at 08:05

My goal

To calculate the sum of components sold as part of their parent assemblies.

I'm sure this must be a common use case, but I haven't yet found documentation that leads to the result I'm looking for.

Background

I'm running Postgres 11 on CentOS 7. I have some tables like as follows:

...

ANSWER

Answered 2021-Mar-05 at 07:55

Well, I figured out that the CTE can be used as a subquery, which permits the filtering and aggregation that I needed :

Source https://stackoverflow.com/questions/66488482

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

Vulnerabilities

No vulnerabilities reported

Install aping

You can download it from GitHub.
You can use aping 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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