lxml vs html5lib

Side-by-side — pricing, strengths, tradeoffs, and fit.

lxml

Fast and easy HTML/XML library for Python

html5lib

Standards-compliant HTML parsing and serialization library.

At a glance

Open SourceFree Tier
● Established·From $0
Open SourceFree Tier
◌ Declining·From $0

Overview

One-liner

Fast and easy HTML/XML library for Python

One-liner

Standards-compliant HTML parsing and serialization library.

Maturity

Established

Maturity

Declining

Open source

✓ Yes

Open source

✓ Yes

Pricing

Free tier

✓ Available

Open source — free to use

Free tier

✓ Available

Open source — free to use

Starts at

$0

Starts at

$0

Model

Flat rate

Model

Flat rate

Enterprise

✕ None

Enterprise

✕ None

Best for

✓ Best for

Developers who need to parse or generate complex XML/HTML documents efficiently
Projects requiring high-performance data extraction from web pages using Python

✓ Best for

Developers working on projects that require parsing and serializing HTML documents accurately
Teams needing a reliable library for handling malformed markup gracefully

Not ideal for

✕ Not for

Applications that require real-time processing of large volumes of HTML/XML data without local processing capabilities
Scenarios where a full Python environment is not available or feasible to use

✕ Not for

Projects requiring real-time performance critical operations as it is not optimized for speed
Applications where the overhead of Python libraries is undesirable

Strengths

↑ Strengths

High performance parsing and serialization of XML/HTML documents
Support for XPath expressions to query elements in the document tree
Easy-to-use API for creating, modifying, and querying XML/HTML structures

↑ Strengths

Standards-compliant HTML parsing and serialization
Handles malformed markup gracefully
Extensive test suite for reliability

Weaknesses

↓ Weaknesses

Limited error messages can complicate debugging
Performance hit when working with very large files
Dependence on C libraries can cause installation issues

↓ Weaknesses

Limited performance for large-scale parsing tasks
Complex setup and configuration
Lack of extensive documentation for advanced features
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