pretty-mod 0.1.1

A module tree explorer for LLMs (and humans)

pretty-mod

a module tree explorer for LLMs (and humans)

[!IMPORTANT] for all versions >=0.1.0, wheels for different operating systems are built via maturin and published to pypi, install <0.1.0 for a pure python version

» uvx pretty-mod tree json
📦 json
├── 📜 __all__: dump, dumps, load, loads, JSONDecoder, JSONDecodeError, JSONEncoder
├── ⚡ functions: dump, dumps, load, loads
├── 📦 decoder
│   ├── 📜 __all__: JSONDecoder, JSONDecodeError
│   └── 🔷 classes: JSONDecodeError, JSONDecoder
├── 📦 encoder
│   ├── 🔷 classes: JSONEncoder
│   └── ⚡ functions: py_encode_basestring, py_encode_basestring_ascii
├── 📦 scanner
│   └── 📜 __all__: make_scanner
└── 📦 tool
    └── ⚡ functions: main

» uvx pretty-mod sig fastmcp:FastMCP
📎 FastMCP
├── Parameters:
├── name: str | None=None
├── instructions: str | None=None
├── auth: OAuthProvider | None=None
├── lifespan: Callable[[FastMCP[LifespanResultT]], AbstractAsyncContextManager[LifespanResultT]] | None=None
├── tags: set[str] | None=None
├── dependencies: list[str] | None=None
├── tool_serializer: Callable[[Any], str] | None=None
├── cache_expiration_seconds: float | None=None
├── on_duplicate_tools: DuplicateBehavior | None=None
├── on_duplicate_resources: DuplicateBehavior | None=None
├── on_duplicate_prompts: DuplicateBehavior | None=None
├── resource_prefix_format: Literal['protocol', 'path'] | None=None
├── mask_error_details: bool | None=None
├── tools: list[Tool | Callable[..., Any]] | None=None
└── **settings: Any

Installation

uv add pretty-mod

Usage

from pretty_mod import display_tree

# Explore a module structure  
display_tree("collections", max_depth=2)

Example output

display_tree("collections", max_depth=2)

📦 collections
├── 📜 __all__: ChainMap, Counter, OrderedDict, UserDict, UserList, UserString, defaultdict, deque, namedtuple
├── 🔷 classes: ChainMap, Counter, OrderedDict, UserDict, UserList, UserString, defaultdict, deque
├── ⚡ functions: namedtuple
└── 📦 abc
    ├── 📜 __all__: Awaitable, Coroutine, AsyncIterable, AsyncIterator, AsyncGenerator, Hashable, Iterable, Iterator, Generator, Reversible, Sized, Container, Callable, Collection, Set, MutableSet, Mapping, MutableMapping, MappingView, KeysView, ItemsView, ValuesView, Sequence, MutableSequence, ByteString, Buffer
    └── 🔷 classes: AsyncGenerator, AsyncIterable, AsyncIterator, Awaitable, Buffer, ByteString, Callable, Collection, Container, Coroutine, Generator, Hashable, ItemsView, Iterable, Iterator, KeysView, Mapping, MappingView, MutableMapping, MutableSequence, MutableSet, Reversible, Sequence, Set, Sized, ValuesView

from pretty_mod import display_signature

# Display the signature of a callable (function, class constructor, etc.)
print(display_signature("json:loads"))

Example output

📎 loads
├── Parameters:
├── s
├── *
├── cls=None
├── object_hook=None
├── parse_float=None
├── parse_int=None
├── parse_constant=None
├── object_pairs_hook=None
└── **kw

CLI

Pretty-mod includes a command-line interface for quick exploration:

# Explore module structure
pretty-mod tree json

# Go deeper into the tree with --depth
pretty-mod tree requests --depth 3

# Display function signatures  
pretty-mod sig json:loads
pretty-mod sig os.path:join

# Explore packages even without having them installed
pretty-mod tree django
pretty-mod tree flask --depth 1

# Use --quiet to suppress download messages when you don't have the package installed
pretty-mod tree requests --quiet

Examples

See the examples/ directory for more detailed usage patterns and advanced features.

Development

gh repo clone zzstoatzz/pretty-mod && cd pretty-mod
just --list # see https://github.com/casey/just

Performance Testing

The performance test script (scripts/perf_test.py) supports both single-run exploration and proper benchmarking with multiple iterations:

# Run a proper benchmark with multiple iterations
./scripts/perf_test.py json --benchmark
./scripts/perf_test.py urllib --benchmark --runs 100 --warmup 10

# Compare performance between local and published versions
just compare-perf prefect 2

# Benchmark multiple modules
just benchmark-modules

# Or use shell timing for quick single-run comparisons
time ./scripts/perf_test.py numpy --depth 3
time uvx pretty-mod tree numpy --depth 3

Benchmark mode provides:

• Warmup runs to account for cold starts
• Multiple iterations for statistical significance
• Mean, standard deviation, min/max timing statistics
• Silent operation (no tree output) for accurate timing