ResumeParser | parse resumes , extract contact

by bjherger Python Version: Current License: No License

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

kandi X-RAY | ResumeParser Summary

ResumeParser is a Python library. ResumeParser has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

A utility to make handling many resumes easier by automatically pulling contact information, required skills and custom text fields. These results are then surfaced as a convenient summary CSV.

Support

Quality

Security

License

Reuse

Support

ResumeParser has a low active ecosystem.

It has 292 star(s) with 207 fork(s). There are 22 watchers for this library.

It had no major release in the last 6 months.

There are 14 open issues and 20 have been closed. On average issues are closed in 112 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ResumeParser is current.

Quality

ResumeParser has 0 bugs and 0 code smells.

Security

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

ResumeParser code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ResumeParser 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

ResumeParser 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.

ResumeParser saves you 106 person hours of effort in developing the same functionality from scratch.

It has 270 lines of code, 17 functions and 7 files.

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

Top functions reviewed by kandi - BETA

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

Archive Dataset schemas
Loads configuration file
Return the configuration for the given conf_name
Extract fields from text
Extract skills from the resume text
Extract text files
Extract candidate files
Argument parser
Transform a JSON object into a dataset
Load observations into a csv file

Get all kandi verified functions for this library.

ResumeParser Key Features

No Key Features are available at this moment for ResumeParser.

ResumeParser Examples and Code Snippets

No Code Snippets are available at this moment for ResumeParser.

Community Discussions

Trending Discussions on ResumeParser

OSError: E053 Could not read config.cfg Spacy on colab

Pass a file's "data" instead of the actual file in Python

QUESTION

OSError: E053 Could not read config.cfg Spacy on colab

Asked 2022-Jan-15 at 11:14

I want to use SpacyTextBlob in google Colab, when I use the formal installation, I got the below error.

...

ANSWER

Answered 2022-Jan-15 at 11:14

I solve the problem by using this installation guide

Source https://stackoverflow.com/questions/70720126

QUESTION

Pass a file's "data" instead of the actual file in Python

Asked 2020-Jul-28 at 03:43

I am using a resume parsing python library that accepts a pdf file and returns JSON. The code is as simple as below:

parsed_data = ResumeParser("file.pdf").get_extracted_data()

I wanted to expose an API around this, so in API the pdf data is sent as a base64 string. So, I first write the data to a file and then run the above code. My current code looks as below:

...

ANSWER

Answered 2020-Jul-28 at 03:43

The library that you are using appears to accept a BytesIO object as an alternative to passing it a string that contains a filename. However, it also appears to expect that this BytesIO object has a name attribute from which it extracts an extension so it can determine the filetype. So, we will add a bogus name attribute that contains the string .pdf to our BytesIO object.

So, we should be able to use something like this:

Source https://stackoverflow.com/questions/63126346

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

Vulnerabilities

No vulnerabilities reported

Install ResumeParser

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