teler | Real-time HTTP Intrusion Detection | Security library

by kitabisa Go Version: v2.0.0-dev.3 License: Apache-2.0

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

kandi X-RAY | teler Summary

teler is a Go library typically used in Security applications. teler has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

teler was designed to be a fast, terminal-based threat analyzer. Its core idea is to quickly analyze and hunt threats in real time!.

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Quality

Security

License

Reuse

Support

teler has a medium active ecosystem.

It has 2446 star(s) with 207 fork(s). There are 49 watchers for this library.

It had no major release in the last 12 months.

There are 6 open issues and 57 have been closed. On average issues are closed in 58 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of teler is v2.0.0-dev.3

Quality

teler has 0 bugs and 0 code smells.

Security

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

teler code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

teler is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

teler releases are available to install and integrate.

It has 1845 lines of code, 65 functions and 44 files.

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

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teler Key Features

No Key Features are available at this moment for teler.

teler Examples and Code Snippets

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Community Discussions

Trending Discussions on teler

Difficulties creating dataframe out of 180 xml files

QUESTION

Difficulties creating dataframe out of 180 xml files

Asked 2020-Jun-14 at 04:41

I have around 180 xml files that are in a list xml_files. Now I need to iterate through those files, and combine them in 1 pandas dataframe. All xml files follow the same structure.

Can someone help me out with my code, I'm stuck at the point where I need to create 1 dataframe out of all the xml files. The doc variable contains the right structure that I need from the xml file.

...

ANSWER

Answered 2020-Jun-14 at 04:41

One way to do that is to use pd.concat, as follows. Please note that some of the XML documents were invalid, and required preprocessing. Also, I had to distinguish between documents with a single row and documents with multiple rows.

Source https://stackoverflow.com/questions/62360572

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