Pros of mozilla/readability

• Actively maintained and updated, with the latest commit being within the past year.
• Supports a wider range of input formats, including HTML, XML, and Markdown.
• Provides more detailed configuration options for customizing the extraction process.

Cons of mozilla/readability

• Larger codebase and more complex, which may make it more challenging to understand and contribute to.
• Slower performance compared to buriy/python-readability, especially on larger documents.
• Requires additional dependencies, such as lxml, which may increase the complexity of the setup process.

Code Comparison

buriy/python-readability:

from readability.readability import Readability

url = "https://example.com/article"
html = requests.get(url).text
doc = Readability(html).get_article()
content = doc.content

mozilla/readability:

from readability.readability import Readability

url = "https://example.com/article"
html = requests.get(url).text
reader = Readability(html)
doc = reader.parse()
content = doc.content

The main difference in the code is the usage of the parse() method in mozilla/readability, which provides more detailed configuration options compared to the simpler get_article() method in buriy/python-readability.

Pros of Newspaper

• Newspaper provides a more comprehensive set of features, including article extraction, image extraction, and text summarization.
• Newspaper has better support for handling different types of web pages, including news articles, blogs, and forums.
• Newspaper has a more active development community, with more contributors and more frequent updates.

Cons of Newspaper

• Newspaper can be slower and more resource-intensive than python-readability, especially for simple web page extraction tasks.
• Newspaper has a steeper learning curve, with more complex configuration options and a larger API.
• Newspaper may not be as accurate as python-readability for certain types of web pages, particularly those with non-standard layouts.

Code Comparison

python-readability:

from readability.readability import Readability

url = "https://www.example.com/article"
r = Readability(url)
content = r.get_article().content

Newspaper:

from newspaper import Article

url = "https://www.example.com/article"
article = Article(url)
article.download()
article.parse()
content = article.text

Pros of Goose

• Goose provides a more robust and feature-rich set of tools for extracting content from web pages, including support for video and image extraction.
• Goose has a larger and more active community, with more contributors and more frequent updates.
• Goose has better support for handling different types of web content, including pages with complex layouts and dynamic content.

Cons of Goose

• Goose can be more complex to set up and configure, with more dependencies and a steeper learning curve.
• Goose may be overkill for simple use cases where Readability's more lightweight approach is sufficient.
• Goose's codebase is larger and more complex, which can make it more difficult to understand and modify.

Code Comparison

Readability:

from readability.readability import Readability

url = 'https://example.com/article'
article = Readability(url).get_article()
content = article.content

Goose:

from goose3 import Goose

url = 'https://example.com/article'
g = Goose()
article = g.extract(url=url)
content = article.cleaned_text

Pros of psycopg2

• Robust and mature library for interacting with PostgreSQL databases in Python
• Supports a wide range of PostgreSQL features, including transactions, prepared statements, and asynchronous operations
• Provides a simple and intuitive API for common database operations

Cons of psycopg2

• Primarily focused on PostgreSQL, so it may not be the best choice for working with other database systems
• Can be more complex to set up and configure compared to some other database libraries

Code Comparison

psycopg2:

import psycopg2

conn = psycopg2.connect("dbname=mydb user=myuser password=mypass")
cur = conn.cursor()
cur.execute("SELECT * FROM mytable WHERE id = %s", (1,))
result = cur.fetchone()
print(result)

python-readability:

from readability.readability import Readability

url = "https://example.com"
r = Readability(url)
content = r.get_content()
print(content)

Pros of Sumy

• Sumy provides a wider range of text summarization algorithms, including Luhn, Edmundson, and TextRank, allowing for more flexibility in summarization approaches.
• Sumy supports multiple languages, including English, French, German, and Russian, making it more versatile for international use cases.
• Sumy has a more active development community, with regular updates and bug fixes.

Cons of Sumy

• Sumy has a more complex API and requires more setup and configuration compared to python-readability.
• Sumy may have a higher learning curve for users who are primarily interested in simple text extraction and cleaning.
• Sumy's performance may be slower than python-readability for certain tasks, especially on larger documents.

Code Comparison

Python-readability:

from readability.readability import Readability

url = "https://example.com"
article = Readability(url).get_article()
print(article.title)
print(article.content)

Sumy:

from sumy.parsers.html import HtmlParser
from sumy.nlp.tokenizers import Tokenizer
from sumy.summarizers.lsa import LsaSummarizer

url = "https://example.com"
parser = HtmlParser.from_url(url, Tokenizer("english"))
summarizer = LsaSummarizer()
summary = summarizer(parser.document, sentences_count=3)

for sentence in summary:
    print(sentence)