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teptris-py — TOML for Python at libleptris speed

A native C-extension binding (no ctypes, no fallback) over libteptris — the TOML counterpart of leptris-py (XML) and yeptris-py (YAML). API shape mirrors tomllib/tomli (loads/load raising TOMLDecodeError) plus a dumps writer in the tomli_w spirit. Datetime mapping mirrors tomllib: aware/naive datetime, date, time.

Both directions are native: dumps walks the object tree in C through the builder API and emits via the shared engine emitter — 3.5×–14.2× faster than tomli_w on every benchmark shape. The engine implements the TOML 1.1 draft grammar (a strict superset of 1.0) with 100% toml-test conformance, and parses at ≥3× the best C/C++ competitor on every shape.

Performance (end-to-end, Python tier)

Best-of-12 runs on a GitHub ubuntu-latest runner (python 3.12), 2026-09-21, over the generated bench corpus (~700 KB per shape). The full per-shape table regenerates on every main push via the lang-tier lane.

Shape teptris tomllib (stdlib) tomlkit (pure) rtoml (rust)
array_heavy 6.8 ms / 107 MB/s 236 ms / 3.1 MB/s 1,740 ms / 0.4 MB/s 34 ms / 21 MB/s
cargo_like 3.8 ms / 94 MB/s 100 ms / 3.5 MB/s 1,074 ms / 0.3 MB/s 18 ms / 20 MB/s
datetime_heavy 26.1 ms / 41 MB/s 227 ms / 4.8 MB/s 1,680 ms / 0.6 MB/s 40 ms / 27 MB/s
deep_tables 2.2 ms / 109 MB/s 82 ms / 3.0 MB/s 14,713 ms / 0.0 MB/s 13 ms / 18 MB/s
mixed 5.5 ms / 80 MB/s 150 ms / 2.9 MB/s 1,385 ms / 0.3 MB/s 27 ms / 16 MB/s
scalar_float 12.7 ms / 115 MB/s 310 ms / 4.7 MB/s 2,243 ms / 0.7 MB/s 61 ms / 24 MB/s
scalar_int 11.8 ms / 108 MB/s 300 ms / 4.3 MB/s 2,038 ms / 0.6 MB/s 54 ms / 24 MB/s

End to end (parse + materialize into Python objects): 4.8-6x rtoml (the rust-backed incumbent), 19-42x the stdlib's tomllib, and hundreds of times tomlkit per shape. rtoml numbers include its own object construction; both libraries materialize fully.

Packaging

pip install teptris resolves one of 10 cp39-abi3 wheels — manylinux/musllinux x86_64, aarch64 and armv7l (32-bit ARM, built under qemu), macOS arm64 and x86_64, Windows AMD64 and ARM64 — covering every CPython >= 3.9 including future minors. The extension statically links libteptris, so each wheel is a single self-contained module (no shared-library chain). Linux wheels build the engine inside each container via cibuildwheel so musllinux links musl; the manylinux wheels carry the maximal tag set (glibc >= 2.17).

Every wheel also carries the engine C SOURCE at teptris/_engine (beside the compiled extension) — the recompile path for rebuilding against your own environment. The sdist vendors the same tree and compiles automatically at install.

Every other platform (FreeBSD, Solaris/illumos, any CPython on an exotic arch) installs the sdist, which vendors the engine and compiles it with the installing interpreter's compiler — a C compiler is required, and the build fails loudly without one.

Many-small batch (loads_batch)

Parse a list of TOML documents in ONE C call (teptris_parse_batch):

docs = teptris.loads_batch([toml_str_a, toml_str_b, toml_str_c])
# => [dict, dict, dict] — same datetime contract as loads()

The first failing document raises TOMLDecodeError carrying its line/column. Honest perf shape (benchmark/batch_tier.py): per-doc loads in a tight loop is faster on every measured shape (6.3x on 2000 tiny docs, 3.2x medium, 1.3x large — CPython's per-call overhead amortizes better than the batch's scratch + object pressure). Use loads_batch for the single API surface, one C crossing, and the per-doc error report — not for speed.

Lazy load (loads_lazy)

When most of the parsed tree is going to be ignored, loads_lazy returns a LazyNode wrapper that materializes host objects only along the paths actually accessed:

doc = teptris.loads_lazy(big_toml)
# one parse, no dicts/lists materialized yet
sku = doc["items"][0]["sku"].value()   # walks the path; scalars
                                       # materialize at .value()
rest = doc["items"]                    # returns a LazyNode for the array
for it in rest:
    print(it["sku"].value())
# flatten eagerly if you want the same dict-tree shape as loads()
flat = doc.to_dict()

LazyNode exposes kind() ('table' | 'array' | 'scalar'), value() (scalars only — errors on containers), len() (containers), iteration (tables yield (key, LazyNode) pairs; arrays yield LazyNodes), [] (table key or array index — None for absent), and to_dict() / to_list() for eager flattening. Datetime values materialize via the same datetime.datetime / date / time contract as loads(). The document and the borrowed-bytes input are kept alive by the wrapper until GC.

Same datetime contract as loads(). The eager path is the floor for "flatten everything" workloads; the lazy path is the win for "parse once, touch a small subset."

Descriptor (planned-key materialization)

teptris.Descriptor (the twin of teptris-ruby's Teptris::Descriptor) compiles a plan tree once, then materializes a whole document against it in one native pass — unplanned keys are never materialized:

desc = teptris.Descriptor.build({"children": [
    {"name": "name", "kind": "scalar"},
    {"name": "port", "kind": "scalar"},
    {"name": "hosts", "kind": "collection"},          # array of scalars
    {"name": "items", "kind": "nested", "plan": {     # recurses; spans
        "children": [{"name": "id", "kind": "scalar"}]},  # arrays of tables
    {"name": "everything_else", "kind": "raw"},       # untouched subtree
]})
doc = desc.walk(toml_string)
# {"name": "svc", "port": 8080, "hosts": [...], "items": [{"id": 1}, ...],
#  "everything_else": {...} or None}

Rows absent from the document read as None; keys not in the plan never appear. walk raises TOMLDecodeError with line/column like every other public path.

Typing

The package ships py.typed (PEP 561) with a _native.pyi stub for the C surface — mypy/pyright strict consumers type-check out of the box, and a mypy gate runs in CI. teptris.engine_version() reports the linked libteptris version (the C core, not the package version). teptris.loads_lazy_batch([...]) is the lazy twin of loads_batch.

Development

setup.py links the engine statically when it finds libteptris.a/teptris.lib under TEPTRIS_LIBDIR (what the wheels ship); otherwise it falls back to the shared library with an rpath to its build tree. Point TEPTRIS_INCLUDE/TEPTRIS_LIBDIR at a C checkout's build and run the suite:

cmake -B ../teptris/build -S ../teptris \
    -DCMAKE_BUILD_TYPE=Release -DTEPTRIS_BUILD_SHARED=OFF -DTEPTRIS_BUILD_STATIC=ON
cmake --build ../teptris/build
TEPTRIS_INCLUDE=../teptris/src/include TEPTRIS_LIBDIR=../teptris/build/src \
    python3 setup.py build_ext --inplace
PYTHONPATH=src python3 -m unittest discover -s tests -v

Publishing and version numbers are USER release decisions.

Metadata

Release files for teptris 0.2.28

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

Source distribution (sdist)

Source distribution for teptris 0.2.28
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Built distributions (wheels)

Table of built distributions (wheels) for teptris 0.2.28
File
teptris-0.2.28-cp314-cp314t-win_arm64.whl CPython 3.14 CPython 3.14 free-threading Windows ARM64 Details
teptris-0.2.28-cp314-cp314t-win_amd64.whl CPython 3.14 CPython 3.14 free-threading Windows x86-64 Details
teptris-0.2.28-cp314-cp314t-musllinux_1_2_x86_64.whl CPython 3.14 CPython 3.14 free-threading Linux musl 1.2+ x86-64 Details
teptris-0.2.28-cp314-cp314t-musllinux_1_2_aarch64.whl CPython 3.14 CPython 3.14 free-threading Linux musl 1.2+ ARM64 Details
teptris-0.2.28-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl CPython 3.14 CPython 3.14 free-threading Linux glibc 2.17+ x86-64, Linux glibc 2.28+ x86-64 Details
teptris-0.2.28-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl CPython 3.14 CPython 3.14 free-threading Linux glibc 2.28+ ARM64, Linux glibc 2.17+ ARM64 Details
teptris-0.2.28-cp314-cp314t-macosx_11_0_arm64.whl CPython 3.14 CPython 3.14 free-threading macOS 11.0+ ARM64 Details
teptris-0.2.28-cp314-cp314t-macosx_10_13_x86_64.whl CPython 3.14 CPython 3.14 free-threading macOS 10.13+ x86-64 Details
teptris-0.2.28-cp314-cp314-win_arm64.whl CPython 3.14 CPython 3.14 Windows ARM64 Details
teptris-0.2.28-cp314-cp314-win_amd64.whl CPython 3.14 CPython 3.14 Windows x86-64 Details
teptris-0.2.28-cp314-cp314-musllinux_1_2_x86_64.whl CPython 3.14 CPython 3.14 Linux musl 1.2+ x86-64 Details
teptris-0.2.28-cp314-cp314-musllinux_1_2_aarch64.whl CPython 3.14 CPython 3.14 Linux musl 1.2+ ARM64 Details
teptris-0.2.28-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl CPython 3.14 CPython 3.14 Linux glibc 2.17+ x86-64, Linux glibc 2.28+ x86-64 Details
teptris-0.2.28-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl CPython 3.14 CPython 3.14 Linux glibc 2.28+ ARM64, Linux glibc 2.17+ ARM64 Details
teptris-0.2.28-cp314-cp314-macosx_11_0_arm64.whl CPython 3.14 CPython 3.14 macOS 11.0+ ARM64 Details
teptris-0.2.28-cp314-cp314-macosx_10_13_x86_64.whl CPython 3.14 CPython 3.14 macOS 10.13+ x86-64 Details
teptris-0.2.28-cp313-cp313-win_arm64.whl CPython 3.13 CPython 3.13 Windows ARM64 Details
teptris-0.2.28-cp313-cp313-win_amd64.whl CPython 3.13 CPython 3.13 Windows x86-64 Details
teptris-0.2.28-cp313-cp313-musllinux_1_2_x86_64.whl CPython 3.13 CPython 3.13 Linux musl 1.2+ x86-64 Details
teptris-0.2.28-cp313-cp313-musllinux_1_2_aarch64.whl CPython 3.13 CPython 3.13 Linux musl 1.2+ ARM64 Details
teptris-0.2.28-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.28+ x86-64, Linux glibc 2.17+ x86-64 Details
teptris-0.2.28-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl CPython 3.13 CPython 3.13 Linux glibc 2.17+ ARM64, Linux glibc 2.28+ ARM64 Details
teptris-0.2.28-cp313-cp313-macosx_11_0_arm64.whl CPython 3.13 CPython 3.13 macOS 11.0+ ARM64 Details
teptris-0.2.28-cp313-cp313-macosx_10_13_x86_64.whl CPython 3.13 CPython 3.13 macOS 10.13+ x86-64 Details
teptris-0.2.28-cp312-cp312-win_arm64.whl CPython 3.12 CPython 3.12 Windows ARM64 Details
teptris-0.2.28-cp312-cp312-win_amd64.whl CPython 3.12 CPython 3.12 Windows x86-64 Details
teptris-0.2.28-cp312-cp312-musllinux_1_2_x86_64.whl CPython 3.12 CPython 3.12 Linux musl 1.2+ x86-64 Details
teptris-0.2.28-cp312-cp312-musllinux_1_2_aarch64.whl CPython 3.12 CPython 3.12 Linux musl 1.2+ ARM64 Details
teptris-0.2.28-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.28+ x86-64, Linux glibc 2.17+ x86-64 Details
teptris-0.2.28-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl CPython 3.12 CPython 3.12 Linux glibc 2.28+ ARM64, Linux glibc 2.17+ ARM64 Details
teptris-0.2.28-cp312-cp312-macosx_11_0_arm64.whl CPython 3.12 CPython 3.12 macOS 11.0+ ARM64 Details
teptris-0.2.28-cp312-cp312-macosx_10_13_x86_64.whl CPython 3.12 CPython 3.12 macOS 10.13+ x86-64 Details
teptris-0.2.28-cp311-cp311-win_arm64.whl CPython 3.11 CPython 3.11 Windows ARM64 Details
teptris-0.2.28-cp311-cp311-win_amd64.whl CPython 3.11 CPython 3.11 Windows x86-64 Details
teptris-0.2.28-cp311-cp311-musllinux_1_2_x86_64.whl CPython 3.11 CPython 3.11 Linux musl 1.2+ x86-64 Details
teptris-0.2.28-cp311-cp311-musllinux_1_2_aarch64.whl CPython 3.11 CPython 3.11 Linux musl 1.2+ ARM64 Details
teptris-0.2.28-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-64, Linux glibc 2.28+ x86-64 Details
teptris-0.2.28-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ ARM64, Linux glibc 2.28+ ARM64 Details
teptris-0.2.28-cp311-cp311-macosx_11_0_arm64.whl CPython 3.11 CPython 3.11 macOS 11.0+ ARM64 Details
teptris-0.2.28-cp311-cp311-macosx_10_9_x86_64.whl CPython 3.11 CPython 3.11 macOS 10.9+ x86-64 Details
teptris-0.2.28-cp310-cp310-win_arm64.whl CPython 3.10 CPython 3.10 Windows ARM64 Details
teptris-0.2.28-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details
teptris-0.2.28-cp310-cp310-musllinux_1_2_x86_64.whl CPython 3.10 CPython 3.10 Linux musl 1.2+ x86-64 Details
teptris-0.2.28-cp310-cp310-musllinux_1_2_aarch64.whl CPython 3.10 CPython 3.10 Linux musl 1.2+ ARM64 Details
teptris-0.2.28-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.28+ x86-64, Linux glibc 2.17+ x86-64 Details
teptris-0.2.28-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ ARM64, Linux glibc 2.28+ ARM64 Details
teptris-0.2.28-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details
teptris-0.2.28-cp310-cp310-macosx_10_9_x86_64.whl CPython 3.10 CPython 3.10 macOS 10.9+ x86-64 Details
teptris-0.2.28-cp39-abi3-win_arm64.whl CPython 3.9 abi3 Windows ARM64 Details
teptris-0.2.28-cp39-abi3-win_amd64.whl CPython 3.9 abi3 Windows x86-64 Details
teptris-0.2.28-cp39-abi3-musllinux_1_2_x86_64.whl CPython 3.9 abi3 Linux musl 1.2+ x86-64 Details
teptris-0.2.28-cp39-abi3-musllinux_1_2_armv7l.whl CPython 3.9 abi3 Linux musl 1.2+ ARMv7l Details
teptris-0.2.28-cp39-abi3-musllinux_1_2_aarch64.whl CPython 3.9 abi3 Linux musl 1.2+ ARM64 Details
teptris-0.2.28-cp39-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl CPython 3.9 abi3 Linux glibc 2.28+ x86-64, Linux glibc 2.17+ x86-64 Details
teptris-0.2.28-cp39-abi3-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl CPython 3.9 abi3 Linux glibc 2.17+ IBM System/390x, Linux glibc 2.28+ IBM System/390x Details
teptris-0.2.28-cp39-abi3-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl CPython 3.9 abi3 Linux glibc 2.17+ PowerPC 64-le, Linux glibc 2.28+ PowerPC 64-le Details
teptris-0.2.28-cp39-abi3-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl CPython 3.9 abi3 Linux glibc 2.17+ ARMv7l, Linux glibc 2.31+ ARMv7l Details
teptris-0.2.28-cp39-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl CPython 3.9 abi3 Linux glibc 2.28+ ARM64, Linux glibc 2.17+ ARM64 Details
teptris-0.2.28-cp39-abi3-macosx_11_0_arm64.whl CPython 3.9 abi3 macOS 11.0+ ARM64 Details
teptris-0.2.28-cp39-abi3-macosx_10_9_x86_64.whl CPython 3.9 abi3 macOS 10.9+ x86-64 Details

Total release size: 11.3 MB

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