AzureMonitorCommunity
An open repo for Azure Monitor queries, workbooks, alerts and more (by microsoft)
lxml
The lxml XML toolkit for Python (by lxml)
AzureMonitorCommunity | lxml | |
---|---|---|
6 | 17 | |
943 | 2,573 | |
1.3% | 0.8% | |
8.1 | 9.6 | |
3 days ago | 6 days ago | |
PowerShell | Python | |
MIT License | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
AzureMonitorCommunity
Posts with mentions or reviews of AzureMonitorCommunity.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-04.
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AVD Dashboard using Azure Monitor..?
I moved on to trying to use Azure Monitor and setting up a workbook with custom queries. This is all based off log data, so its not truly real time, so its not ideal off the start. I also don't know KQL or the data structure, so I feel like I'm beating a square peg in a round hole. I did find the MS Azure Monitor community and I've been browsing through there to try to learn. ( https://github.com/microsoft/AzureMonitorCommunity )
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Where can I find more learning Material for creating Azure Dashboard (including Pre and Post Patching, Anti Virus, Backup, Compliance)
Azure Workbooks are more flexible to use. Can find many here: https://github.com/microsoft/AzureMonitorCommunity
- There is framework for everything.
- Azure Monitor and Alerting Integration
- Cost Analysis Workbook
- Obtaining cost management data throught REST api
lxml
Posts with mentions or reviews of lxml.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-01.
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8 Most Popular Python HTML Web Scraping Packages with Benchmarks
lxml
- Looking for someone to web scrape housing data needed research. Will pay you for your work!!
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13 ways to scrape any public data from any website
Parsel is a library build to extract data from XML/HTML documents with XPath and CSS selectors support, and could be combined with regular expressions. It's usees lxml parser under the hood by default.
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lazy and fast .mpd file parser - for video streaming
So, now that I no longer work in that industry, and I had some free time, I created a lazy parsing package using lxml instead of the xml parser in the standard library, which can help people who want to have a python only parsing solution.
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Guide to working with fancier XML documents with python?
Seriously, use LXML.
- There is framework for everything.
- how to find text in website ?
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Parsing XML file deletes whitespace. How to avoid it?
I got curious about this now so I did some tests on my own, and it appears that the XML parser implementation in Python does indeed strip all newline characters from attributes. Whether this is according to XML standard I do not know; I also briefly tried an alternative XML implementation for Python and it behaves the same, so I would assume that this is standard behavior, but I'm not knowledgable enough about XML to say for certain.
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Use case for ETL over ELT?
I use lxml for the XML parsing and pyodbc as the ODBC library. We have a small team so I just keep it as simple as possible: 1. A cursor yields the XML documents from a SQL query as a stream 2. A generator function parses the XML document and yields the rows (you could parallelize this step) 3. Stream each of the resulting rows to a single CSV file 4. Scoop up the resulting CSV file into the target database (usually with the DB engine's loader; bulk insert isn't so fast over ODBC) It ends up being a straight forward, low-overhead approach.
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CompactLogix: Implementing HTTP requests & XML Data Transfer via TCP/IP
If that sounds too weird maybe take a look at pycomm3, python also has lxml as well as requests. You could write a script that retrieves the data from the clx using the appropriate pycomm3 driver for cplx and then do xml things with the data using lxml and transmit the data over http using requests.
What are some alternatives?
When comparing AzureMonitorCommunity and lxml you can also consider the following projects:
gspread - Google Sheets Python API
xmltodict - Python module that makes working with XML feel like you are working with JSON
astropy - Astronomy and astrophysics core library
selectolax - Python binding to Modest and Lexbor engines (fast HTML5 parser with CSS selectors).
Ruby on Rails - Ruby on Rails
html5lib - Standards-compliant library for parsing and serializing HTML documents and fragments in Python
Application-Insights-Workbooks - Templates for Azure Monitor Workbooks
untangle - Converts XML to Python objects
NLTK - NLTK Source
bleach - Bleach is an allowed-list-based HTML sanitizing library that escapes or strips markup and attributes
NetworkX - Network Analysis in Python
pyquery - A jquery-like library for python
AzureMonitorCommunity vs gspread
lxml vs xmltodict
AzureMonitorCommunity vs astropy
lxml vs selectolax
AzureMonitorCommunity vs Ruby on Rails
lxml vs html5lib
AzureMonitorCommunity vs Application-Insights-Workbooks
lxml vs untangle
AzureMonitorCommunity vs NLTK
lxml vs bleach
AzureMonitorCommunity vs NetworkX
lxml vs pyquery