Hiss Byte Notation
Library to make it easy to use python literal syntax as a data format. No JavaScript and fast.
Have you seen people try to print a dict and then use the JSON library to parse the output? This library is some helper function for that scenario. It has an API similar to other serialization libraries with dumps, loads and so on.
It is a small wrapper all the ways that python has to convert python literals to live python
- ast.literal_eval
- import
- etc.
However, I don't recommend using any of those except Pickle because performance is so bad. Instead use hsbn with the rust speed ups which are now the default.
Safety
ast.literal_eval is safer than eval but the python docs still imply that there are malicious payloads. I'm not
sure if they are the same problems that could affect json or other formats.
The Rust parser (by_rust=True) is safe — it only parses literal syntax and never executes arbitrary code.
Installation
Install the base package with:
pip install hissbytenotation
To install every optional Python integration in one shot, use:
pip install "hissbytenotation[all]"
If you use uv, the equivalent command is:
uv sync --extra all
Install just one optional feature with one of these extras:
fmtforhbn fmt/ Black integration:pip install "hissbytenotation[fmt]"oruv sync --extra fmtglomfor query and mutation commands:pip install "hissbytenotation[glom]"oruv sync --extra glomvalidatefor Cerberus-backed schema validation:pip install "hissbytenotation[validate]"oruv sync --extra validate
The optional Rust speedups are bundled in supported platform wheels for hissbytenotation; if your platform does not
have a wheel yet, install the package normally and fall back to the pure-Python path, or build the extension locally:
cd rust && maturin develop --release
Usage
Learn how to use it with the GUI which demos all the features
hissbytenotation gui
Normal usage is as a library.
import hissbytenotation as hbn
data = {
"mammal": "cat",
"reptile": ["snake", "lizard"],
"version": 1
}
data_as_string = hbn.dumps(data)
rehydrated = hbn.loads(data_as_string)
print(rehydrated)
# {'mammal': 'cat', 'reptile': ['snake', 'lizard'], 'version': 1}
CLI
It now has a Bash-first CLI with the hbn command:
uv run hbn dump --arg "{'mammal': 'cat', 'version': 1}"
uv run hbn convert --from json --to hbn --arg '{"mammal": "cat", "version": 1}'
uv run hbn keys --arg "{'mammal': 'cat', 'version': 1}" --lines
uv run hbn dump --arg "['cat', 'snake']" --bash-array animals
uv run hbn dump --arg "{'host': 'db', 'port': '5432'}" --bash-assoc cfg
uv run hbn get users.0.email users.hbn --raw
uv run hbn q --glom "{'emails': ('users', ['email'])}" users.hbn
uv run hbn set users.0.role --value "'admin'" users.hbn
uv run hbn merge left.hbn right.hbn
uv run hbn merge --strategy append-lists left.hbn right.hbn
uv run hbn diff left.hbn right.hbn
uv run hbn doctor --to json --pretty
uv run hbn repl users.hbn
Supported core formats:
- HBN input and output
- JSON input and output
- TOML input
- XML input and output via a simple
@attrs/#textmapping - Bash Map Notation (
bmn) for flat dicts and scalar arrays
Useful shell-oriented output flags:
--raw--lines--nul--shell-quote--shell-assign NAME--shell-export NAME--bash-array NAME--bash-assoc NAME--default VALUE
For nested traversal and mutation, install hissbytenotation[all] or just the glom extra:
uv sync --extra glom
uv run hbn q users.0.email users.hbn --raw
uv run hbn q --glom "{'emails': ('users', ['email'])}" users.hbn
uv run hbn append users --value "{'email': 'new@example.com'}" users.hbn
It now has glom commands, which is a query language for python dicts and types:
q/querygetsetdelappendinsert
Glom query mode supports:
- simple dot-path lookups such as
users.0.email --glom SPECfor explicit glom specs written in HBN / Python literal syntax--spec-file PATHfor reusable glom specs
It supports merge and mutation workflows:
merge- merge strategies:
replace,shallow,deep,append-lists,set-union-lists - conflict policies:
error,left-wins,right-wins - file mutation flags:
--in-place,--backup SUFFIX,--atomic,--check
Examples:
uv run hbn merge --conflict right-wins --left-arg "{'a': 1}" --right-arg "{'a': 2}"
uv run hbn set config.port --value 6432 --in-place settings.hbn
uv run hbn append users --value "{'email': 'new@example.com'}" --backup .bak users.hbn
It supports some discoverability and interactive workflows:
repldoctor- friendly aliases such as
show,format,delete, andcount - richer help and examples topics via
hbn help TOPICandhbn examples TOPIC - shell completion scripts for Bash, Zsh, Fish, and PowerShell
Examples:
uv run hbn show --arg "{'a': 1}"
uv run hbn delete users.0.role users.hbn
uv run hbn count --arg "[1, 2, 3]"
uv run hbn doctor --compact
uv run hbn completion powershell
uv run hbn repl users.hbn
Inside the REPL:
load {'users': [{'email': 'a@example.com'}]}
get users.0.email --raw
set users.0.role --value "'admin'"
merge --value "{'users': [{'email': 'b@example.com'}]}" --strategy append-lists
write session.json --to json --pretty
The doctor command reports optional capabilities and install hints for:
- formatter support via
black - diff helper support, preferring
git diff --no-indexwhen available - optional
glomintegration - optional
hbn_rustacceleration uvandgitavailability onPATH
Install shell completions by evaluating or sourcing the generated script for your shell:
uv run hbn completion bash
uv run hbn completion zsh
uv run hbn completion fish
uv run hbn completion powershell
For formatter support, install hissbytenotation[all] or just the fmt extra and use hbn fmt:
uv sync --extra fmt
uv run hbn fmt --arg "{'b':2,'a':1}"
hbn fmt prefers shelling out to the black executable when it is available and falls back to the Python package API when it is installed without the command on PATH.
It supports optional extras and helpers:
fmtfor formatter integrationdifffor canonicalized text diffs
Examples:
uv run hbn diff left.hbn right.hbn
uv run hbn diff --to json left.hbn right.hbn
uv run hbn diff --tool builtin --left-arg "{'a': 1}" --right-arg "{'a': 2}"
uv run hbn fmt --arg "{'b':2,'a':1}"
The diff command:
- canonicalizes both inputs as HBN or JSON
- prefers
git diff --no-indexwhengitis available - falls back to a builtin unified diff renderer otherwise
- returns
0for no diff and1when differences are found
Rust-accelerated parsing
Install hissbytenotation normally, or pip install "hissbytenotation[all]" if you also want all Python extras. Platform wheels can include the optional Rust parser for a ~14x speedup over ast.literal_eval; source installs fall back to the pure-Python implementation:
pip install hissbytenotation
# or build the optional extension from source:
cd rust && maturin develop --release
fast = hbn.loads(data_as_string, by_rust=True)
How it works
Serialization is done by calling repr, checking if ast.literal_eval can read it. Repr can be called on more data structures than ast.literal_eval can handle.
Because ast.literal_eval is so slow, there are other options for deserialization:
- Rust parser (
by_rust=True): ~14x faster than ast.literal_eval. Safe — no code execution. Available when the optional Rust extension is present. - default: ast.literal_eval with validation enabled. Very slow, very safe.
- eval (
by_eval=True): Slow, only for trusted data. - exec (
by_exec=True): Slow, only for trusted data. - import (
by_import=True): Two times faster than exec, only for trusted data.
Deserialization benchmark — 1,000 iterations
| Method | Time | Notes |
|---|---|---|
| Pickle | 0.084s | |
| JSON | 0.252s | |
| HBN (Rust parser) | 0.510s | safe |
| HBN (eval) | 4.968s | unsafe |
| HBN (ast.literal_eval) | 6.984s | safe |
| HBN (exec) | 5.357s | unsafe |
| HBN (import) | 10.790s | unsafe |
| repr() only | 0.339s | serialize |
Rust parser is ~14x faster than ast.literal_eval and the fastest safe option.
Run the benchmark yourself:
python -m benchmark
python -m benchmark -n 5000 # more iterations
Prior art
-
literal-python-to-pickle A faster replacement for ast.literal_eval and corresponding question on stackoverflow.
-
You could just call
reprandast.literal_evaldirectly.
Possibly astor which serializes to a string representation of the AST, which looks nothing like the source code, nor json.
Metadata
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