Arpeggio
Packrat parser interpreter
Decision gist · record as of 2026-08-14
Yes. Arpeggio is a stable, actively maintained parser library with no dependencies and permissive licensing. Install it if you need to build a parser for a custom grammar or language; if you want a higher-level interface for language definition, consider textX instead.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with no runtime dependencies.
- Active maintenance with a recent release in 2025-09-12 and last commit on 2026-08-02; the repository is not archived and has 288 stars.
License · maintenance · safety
MIT (permissive) — MIT license is permissive, allowing use in commercial and proprietary projects with minimal restrictions beyond attribution.
last release 2025-09-12 (336 days) · last repo commit 2026-08-02 · 288 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,075,233 downloads/mo, #3,316 on PyPI
Alternatives
Verify before relying
pip install arpeggio
from arpeggio import ParsingExpression, ZeroOrMore, OneOrMore, Optional
from arpeggio import PTNodeVisitor, visit_parse_tree
# Define a simple grammar and parse input
grammar = OneOrMore(ParsingExpression(...))
parse_tree = grammar.parse(input_string)- Whether Arpeggio handles left-recursive grammars or has known limitations with certain PEG patterns
- Performance characteristics when parsing large inputs or deeply nested structures
- Whether the package includes built-in error recovery or reporting mechanisms
What it is and what it does
Arpeggio is a parser library that implements Packrat parsing using Parsing Expression Grammars (PEG). It uses recursive descent with memoization to parse input according to user-defined grammar rules. The library is designed for developers who need to build parsers for domain-specific languages, configuration formats, or other structured text without writing hand-coded parsing logic.
The package has no runtime dependencies and is marked as Production/Stable. It supports Python 3.6 through 3.10 and has been actively maintained since its first release in 2014-08-16. The documentation notes that textX provides a higher-level interface to Arpeggio if you need a more convenient API for language definition.
Use it for
- Build a parser for a custom configuration file format or domain-specific language
- Parse structured text data where you want to define grammar rules declaratively rather than write parsing code
- Create an interpreter or compiler frontend that needs to consume and validate input against a formal grammar
- Extract and transform data from text files with complex, nested structures
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Arpeggio is a stable, actively maintained parser library with no dependencies and permissive licensing. Install it if you need to build a parser for a custom grammar or language; if you want a higher-level interface for language definition, consider textX instead.
Install
arpeggio on PyPI
Before you install
Low install friction with no runtime dependencies. Active maintenance with a recent release in 2025-09-12 and last commit on 2026-08-02; the repository is not archived and has 288 stars.
License in practice
MIT license is permissive, allowing use in commercial and proprietary projects with minimal restrictions beyond attribution.
Quickstart
pip install arpeggio
from arpeggio import ParsingExpression, ZeroOrMore, OneOrMore, Optional
from arpeggio import PTNodeVisitor, visit_parse_tree
# Define a simple grammar and parse input
grammar = OneOrMore(ParsingExpression(...))
parse_tree = grammar.parse(input_string)
Verify before relying
- Whether Arpeggio handles left-recursive grammars or has known limitations with certain PEG patterns
- Performance characteristics when parsing large inputs or deeply nested structures
- Whether the package includes built-in error recovery or reporting mechanisms
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 336 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 2,075,233 / month, #3,316 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: Information TechnologyIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: CompilersTopic :: Software Development :: InterpretersTopic :: Software Development :: Libraries :: Python Modules |
Evidence: Arpeggio-2.0.3-py2.py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “PEG parser”
- ArpeggioArpeggio is a recursive descent parser with memoization that…
- TatSuTatSu compiles extended EBNF grammars into memoizing PEG parsers in…
- pyPEG2pyPEG2 is a PEG (Parsing Expression Grammar) parser generator that…
Give your agent the search over MCP, or paste the wish link into any chat.
More Python Modules packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.
Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…
Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.
See also TatSu · textparser · textX · parsimonious · funcparserlib · parsy · PyMeta3 · pyPEG2 · mo-parsing · Parsley