Skip to main content

yeptris — YAML for Python at libleptris speed

An FFI-based (no C extension) YAML library over libyeptris — the YAML counterpart of libleptris. PyYAML-compatible semantics, one shared library, zero compilation at install.

Install (development)

# the sibling C checkout: ~/src/leptris/yeptris
cmake -B build -S . -DCMAKE_BUILD_TYPE=Release -DYEPTRIS_BUILD_SHARED=ON
cmake --build build

cd ~/src/leptris/yeptris-py
YEPTRIS_LIB_PATH=../yeptris/build/src/libyeptris.dylib python3 -m pytest

Without YEPTRIS_LIB_PATH the loader falls back to a vendored yeptris/_platform/<tag>/ copy, then to the sibling checkout's build directory. Any libyeptris.{so,dylib,dll} path works.

Usage

import yeptris
from yeptris import yaml  # PyYAML-compatible surface

yaml.safe_load("name: yeptris\nrating: 10\n")
# {'name': 'yeptris', 'rating': 10}

yaml.safe_load_all("--- 1\n--- two\n")   # [1, 'two']
yaml.safe_dump({"b": 2, "a": [1, "x"]})  # 'a:\n  - 1\n  - x\nb: 2\n'

yeptris.load("k: v")        # the neutral surface
yeptris.dump({"k": [1, 2]})

Typing follows PyYAML's SafeLoader (YAML 1.1 implicit typing): yes/no/on/off booleans, 0x/leading-0/0b/sexagesimal integers, dot-required floats, timestamps with offsets, merge keys, anchor identity. Every deliberate divergence is pinned by a test.

Design

One parse, one bulk drain: the record array and string arena are read in two FFI calls, then a pure-Python walk over the unpacked records — the FFI tax is O(1) per document, never per event (the same seam yeptris-ruby rides). The 36-byte record layout is ABI-pinned in the C header and mirrored in _ffi.py.

Performance

python3 bench.py — same-process comparison against PyYAML (pure) and CSafeLoader/CDumper (libyaml C extensions):

  • load: 28-39x PyYAML pure, 3.8-6.1x CSafeLoader
  • dump: ~1.7x PyYAML pure, ~2x behind CDumper (which walks the tree entirely in C — a no-C-extension design's ceiling is the Python walk itself; the tree raises through ONE yeptris_document_build call)

Both directions are O(chunks) in FFI calls: loads drain records in two calls, dumps build through one flat entry array.

JSON (strict RFC 8259) — yeptris.json

yeptris.json.loads is json.loads-compatible (values, rejects, types, json.JSONDecodeError — including stdlib's default NaN/ Infinity constant quirk) with two engines behind one contract:

  • native — the opt-in extension ext/yeptris_native.c: a fused scan-kernel descent over libyeptris (the same shape as the Ruby binding's materializer), with a 1024-slot interned-free key cache. Build it with YEPTRIS_LIB_PATH + YEPTRIS_SRC set (python3 setup.py build_ext --inplace); CI builds and gates it.
  • strict-ffi — the default pure path: yeptris_parse_json is the validator gate, then the columnar value walk converts under JSON rules. No C extension, correct everywhere.

benchmark/json_profile.py is the referee (order-alternating interleave vs the C scanner): the native engine runs 0.67-0.87x json.loads mean (83-85% head-to-head) on the 144 KB reference corpus; shape decomposition: int arrays 0.63x, float arrays 0.77x, long strings 0.85x, unique-key maps 0.95x. The previous pure walk was ~15x BEHIND — the fused materializer is the entire gap.

Installing the native JSON engine (platform wheels)

pip install yeptris on macOS (arm64) and manylinux (x86_64) installs platform wheels that vendor libyeptris and the native JSON materializer (abi3 — one wheel per platform serves CPython 3.9+): zero compiler, zero env vars, yeptris.json.engine() is native out of the box. Every wheel is release-smoked in a clean venv before publish. Other platforms install the pure package (the strict-ffi JSON engine + YAML via libyeptris through the YEPTRIS_LIB_PATH ladder); building the extension from source is YEPTRIS_LIB_PATH=... YEPTRIS_SRC=... python3 setup.py build_ext --inplace.

Release files for yeptris 0.2.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for yeptris 0.2.0.1
File Size Uploaded
yeptris-0.2.0.1.tar.gz 24.9 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for yeptris 0.2.0.1
File Interpreter ABI Platform
yeptris-0.2.0.1-py3-none-any.whl Python 3 none any Details
yeptris-0.2.0.1-cp39-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl CPython 3.9 abi3 Linux glibc 2.17+ x86-64 Details
yeptris-0.2.0.1-cp39-abi3-macosx_11_0_arm64.whl CPython 3.9 abi3 macOS 11.0+ ARM64 Details

Total release size: 517.7 kB

Release files / yeptris-0.2.0.1.tar.gz

Download URL yeptris-0.2.0.1.tar.gz
Size 24.9 kB
Tags Source
SHA-256 checksum
How to use checksums
2b3226b5b72186dd2e5ecc48753d979fae277d40eae5611f5c770096c2dcca28
BLAKE2b-256 checksum
How to use checksums
e399da400fb2bf823c2f7f9d0bdd376f4495d307456c3cb89b5ce37af12adb48
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.10.5

Release files / yeptris-0.2.0.1-py3-none-any.whl

Download URL yeptris-0.2.0.1-py3-none-any.whl
Size 18.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
936f154ccf0c0cca692b46f41fd5fed079a4f09a583e1ad437be02ac9585f059
BLAKE2b-256 checksum
How to use checksums
b96ebd624b03879a5c164327fdeba9953b09236a635ee295eed9dd30022d102a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.10.5

Release files / yeptris-0.2.0.1-cp39-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl

Download URL yeptris-0.2.0.1-cp39-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Size 257.8 kB
Tags CPython 3.9 Linux glibc 2.17+ x86-64 abi3
SHA-256 checksum
How to use checksums
f72f88098412d537c2e45f42c0b46ee6225d20266acc3de740fd9362780aa98d
BLAKE2b-256 checksum
How to use checksums
f4e7174ec0f82a99a04548b70ba73f1db3eb0af919cf0ac950a47cecc8ab35d3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.10.5

Release files / yeptris-0.2.0.1-cp39-abi3-macosx_11_0_arm64.whl

Download URL yeptris-0.2.0.1-cp39-abi3-macosx_11_0_arm64.whl
Size 216.3 kB
Tags CPython 3.9 abi3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
74b228e5af5584923a80d6c99b4a30b7e9cb189e8779a3beb6fb32284fcd84bd
BLAKE2b-256 checksum
How to use checksums
eed446ca04294161cd157c71f4b5eab37b1e9ed13bbd29ee69b2de5a013ad48b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.10.5

Release history Release notifications | RSS feed

This release

0.2.0.1 This release

4 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page