pdfparanoia | pdf watermark removal library for academic papers

by kanzure Python Version: 0.0.16 License: No License

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

kandi X-RAY | pdfparanoia Summary

pdfparanoia is a Python library. pdfparanoia has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install pdfparanoia' or download it from GitHub, PyPI.

pdfparanoia is a PDF watermark removal library for academic papers. Some publishers include private information like institution names, personal names, ip addresses, timestamps and other identifying information in watermarks on each page. pdfparanoia это библиотека для удаления водяных знаков из PDF файлов научных статей. Некоторые издатели включают личную информацию, такую как названия институтов, имена, IP-адреса, время и дату и другую информацию в водяные знаки содержащиеся на каждой странице.

Support

Quality

Security

License

Reuse

Support

pdfparanoia has a low active ecosystem.

It has 508 star(s) with 58 fork(s). There are 23 watchers for this library.

It had no major release in the last 12 months.

There are 34 open issues and 12 have been closed. On average issues are closed in 130 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pdfparanoia is 0.0.16

Quality

pdfparanoia has 0 bugs and 0 code smells.

Security

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

pdfparanoia code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pdfparanoia 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

pdfparanoia releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

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

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

pdfparanoia saves you 171 person hours of effort in developing the same functionality from scratch.

It has 423 lines of code, 24 functions and 20 files.

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

Top functions reviewed by kandi - BETA

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

Scrub the content of a pdf
Apply callback to PDF
Replace object with replacement
Parse PDF data
Parse PDF content
Scrub a PDF file
Find plugins
Scrub the content of a PDF
Scrub a PDF
Deflate a PDF document
Scrub objects from a PDF
Remove ads from PDF

Get all kandi verified functions for this library.

pdfparanoia Key Features

No Key Features are available at this moment for pdfparanoia.

pdfparanoia Examples and Code Snippets

No Code Snippets are available at this moment for pdfparanoia.

Community Discussions

No Community Discussions are available at this moment for pdfparanoia.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install pdfparanoia

You can install using 'pip install pdfparanoia' or download it from GitHub, PyPI.
You can use pdfparanoia 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.