Tomli
A lil' TOML parser
Table of Contents generated with mdformat-toc
Intro
Tomli is a Python library for parsing TOML. It is fully compatible with TOML v1.0.0.
A version of Tomli, the tomllib
module,
was added to the standard library in Python 3.11
via PEP 680.
Tomli continues to provide a backport on PyPI for Python versions
where the standard library module is not available
and that have not yet reached their end-of-life.
Installation
pip install tomli
Usage
Parse a TOML string
import tomli
toml_str = """
[[players]]
name = "Lehtinen"
number = 26
[[players]]
name = "Numminen"
number = 27
"""
toml_dict = tomli.loads(toml_str)
assert toml_dict == {
"players": [{"name": "Lehtinen", "number": 26}, {"name": "Numminen", "number": 27}]
}
Parse a TOML file
import tomli
with open("path_to_file/conf.toml", "rb") as f:
toml_dict = tomli.load(f)
The file must be opened in binary mode (with the "rb"
flag).
Binary mode will enforce decoding the file as UTF-8 with universal newlines disabled,
both of which are required to correctly parse TOML.
Handle invalid TOML
import tomli
try:
toml_dict = tomli.loads("]] this is invalid TOML [[")
except tomli.TOMLDecodeError:
print("Yep, definitely not valid.")
Note that error messages are considered informational only. They should not be assumed to stay constant across Tomli versions.
decimal.Decimal
s from TOML floats
Construct from decimal import Decimal
import tomli
toml_dict = tomli.loads("precision-matters = 0.982492", parse_float=Decimal)
assert isinstance(toml_dict["precision-matters"], Decimal)
assert toml_dict["precision-matters"] == Decimal("0.982492")
Note that decimal.Decimal
can be replaced with another callable that converts a TOML float from string to a Python type.
The decimal.Decimal
is, however, a practical choice for use cases where float inaccuracies can not be tolerated.
Illegal types are dict
and list
, and their subtypes.
A ValueError
will be raised if parse_float
produces illegal types.
tomli
/tomllib
compatibility layer
Building a Python versions 3.11+ ship with a version of Tomli:
the tomllib
standard library module.
To build code that uses the standard library if available,
but still works seamlessly with Python 3.6+,
do the following.
Instead of a hard Tomli dependency, use the following dependency specifier to only require Tomli when the standard library module is not available:
tomli >= 1.1.0 ; python_version < "3.11"
Then, in your code, import a TOML parser using the following fallback mechanism:
try:
import tomllib
except ModuleNotFoundError:
import tomli as tomllib
tomllib.loads("['This parses fine with Python 3.6+']")
FAQ
Why this parser?
- it's lil'
- pure Python with zero dependencies
- the fastest pure Python parser *: 16x as fast as tomlkit, 2.3x as fast as toml
- outputs basic data types only
- 100% spec compliant: passes all tests in BurntSushi/toml-test test suite
- thoroughly tested: 100% branch coverage
Is comment preserving round-trip parsing supported?
No.
The tomli.loads
function returns a plain dict
that is populated with builtin types and types from the standard library only.
Preserving comments requires a custom type to be returned so will not be supported,
at least not by the tomli.loads
and tomli.load
functions.
Look into TOML Kit if preservation of style is what you need.
dumps
, write
or encode
function?
Is there a Tomli-W is the write-only counterpart of Tomli, providing dump
and dumps
functions.
The core library does not include write capability, as most TOML use cases are read-only, and Tomli intends to be minimal.
How do TOML types map into Python types?
TOML type | Python type | Details |
---|---|---|
Document Root | dict |
|
Key | str |
|
String | str |
|
Integer | int |
|
Float | float |
|
Boolean | bool |
|
Offset Date-Time | datetime.datetime |
tzinfo attribute set to an instance of datetime.timezone |
Local Date-Time | datetime.datetime |
tzinfo attribute set to None |
Local Date | datetime.date |
|
Local Time | datetime.time |
|
Array | list |
|
Table | dict |
|
Inline Table | dict |
Performance
The benchmark/
folder in this repository contains a performance benchmark for comparing the various Python TOML parsers.
The benchmark can be run with tox -e benchmark-pypi
.
Running the benchmark on my personal computer output the following:
foo@bar:~/dev/tomli$ tox -e benchmark-pypi
benchmark-pypi installed: attrs==21.4.0,click==8.0.3,pytomlpp==1.0.10,qtoml==0.3.1,rtoml==0.7.1,toml==0.10.2,tomli==2.0.1,tomlkit==0.9.2
benchmark-pypi run-test-pre: PYTHONHASHSEED='3088452573'
benchmark-pypi run-test: commands[0] | python -c 'import datetime; print(datetime.date.today())'
2022-02-09
benchmark-pypi run-test: commands[1] | python --version
Python 3.8.10
benchmark-pypi run-test: commands[2] | python benchmark/run.py
Parsing data.toml 5000 times:
------------------------------------------------------
parser | exec time | performance (more is better)
-----------+------------+-----------------------------
rtoml | 0.891 s | baseline (100%)
pytomlpp | 0.969 s | 91.90%
tomli | 4 s | 22.25%
toml | 9.01 s | 9.88%
qtoml | 11.1 s | 8.05%
tomlkit | 63 s | 1.41%
The parsers are ordered from fastest to slowest, using the fastest parser as baseline. Tomli performed the best out of all pure Python TOML parsers, losing only to pytomlpp (wraps C++) and rtoml (wraps Rust).