unstd
Stdlib-compatible codecs and focused utility APIs, with optional native acceleration. Documented stdlib replacements preserve their call surface; additional helpers have their own contracts. JSON proves native eligibility and falls back to stdlib codecs to preserve formatting, values, callbacks and errors.
import json # →
from unstd.serde import jsonx # faithful json API; dumpb for compact transport
The base install adds zero third-party runtime dependencies. External accelerated
backends ride optional extras with guarded imports that fall back to the stdlib
(or raise a clear ImportError where
no fallback is faithful). Install unstd and you pay nothing. Install
unstd[serde] and the serde modules light up.
Install
python3 -m pip install unstd
python3 -m pip install 'unstd[serde,ids,crypto]'
CPython platform wheels include optional C acceleration for compatible JSON, exact builtin structural cloning, and exact-string Levenshtein/Jaro scoring. Source builds use these modules when a compiler is available and otherwise keep the portable fallback. The runtime dependency set and public APIs are unchanged. See the Billy fixture measurements for release comparisons, including remaining overhead relative to 2.1.1. The native kernel audit records clone and text measurements and compatibility boundaries.
Groups
| Group | Extra | Backend / fallback |
|---|---|---|
serde |
unstd[serde] |
orjson / msgspec / pybase64 → stdlib json/base64 |
ids |
unstd[ids] |
uuid-utils → uid falls back to stdlib UUIDv7 |
crypto |
unstd[crypto] |
blake3 (required; hashlib ships BLAKE2, a different algorithm) |
time |
unstd[time] |
timeutil is pure stdlib; zoned requires whenever, and timeutil's protobuf Timestamp bridge requires unstd[proto] |
model |
unstd[model] |
pydantic (required) |
rex |
unstd[rex] |
irregex → stdlib re |
containers |
unstd[containers] |
sortedcontainers + immutables (required) |
rand |
unstd[rand] |
numpy PCG64 → stdlib random; crypto is always secrets |
pack |
unstd[pack] |
numpy → stdlib struct |
clone |
— | bundled C → Python exact-type walk, copy.deepcopy per foreign node |
text |
unstd[text] |
rapidfuzz → stdlib difflib |
audio |
unstd[audio] |
soundfile + numpy → stdlib wave |
toml |
unstd[toml] |
read is tomllib; write requires tomlkit |
yaml |
unstd[yaml] |
ruamel.yaml: safe YAML 1.2 and comment-preserving edits (required) |
compress |
unstd[compress] |
zlib-ng compression, stdlib read codecs and faithful gzip errors |
proc |
— | stdlib subprocess |
fs |
— | stdlib os |
iters |
— | stdlib itertools |
clone, proc, fs, and iters ship in the base install.
Check the module contract when migrating: clone.deep intentionally duplicates
shared references, text similarity uses different algorithms across backends,
and random bulk draws can return arrays or lists with different seeded streams.
These helpers extend the stdlib rather than promising an import-only migration.
Opt into explicit contracts when results or guarantees must survive backend changes. Existing defaults and persisted canonical bytes remain unchanged:
- Text:
indel_ratioordifflib_ratio, selected throughscorer=on matching helpers, keep the algorithm explicit. - Packing:
pack_array_portableandunpack_array_portableuse struct validation and owned Python results. - Randomness:
Generator(seed, backend="stdlib")owns an independent stream and keeps stdlib semantics with NumPy installed. - Identity:
canonical_strictrejects unsupported identity values instead of converting them implicitly. - Regex:
compile_faithfulpreserves Python matching semantics;compile_linearguarantees a singlesearch,match, orfullmatchand refuses fallback and iterative operations. - Filesystem:
durable="strict"andsync_dir(..., strict=True)report directory-sync failures.
Repository layout
src/contains the installable Python package and bundled C extensions;src/unstd/indexes the module APIs.tests/contains product and assurance suites, shared support, and standalone campaign tools.bench/contains benchmark drivers and recorded results.native/contains the opt-in Rust text experiment..github/contains CI, campaign, audit, and release workflows.changelog.d/contains unreleased change fragments.
Each repository folder has a README describing its contents and role, except
.github/, whose OVERVIEW.md keeps the project README on GitHub's repository
page. Keep these guides current when adding or moving files, and include a README
with new folders. Generated environments, caches, and build outputs are excluded
from this policy.
Security and shared logic
The static analysis policy documents required SAST and duplication checks, local commands, reviewed exceptions, and failure handling. CI and release both require clean security analysis and production duplicate-code checks.
Testing
The test suite follows Billy's owner-first Python layout:
product contracts, cross-cutting assurance, shared support, and standalone tools.
The P0 boundary suites exercise installed packaging, real TLS peers,
filesystem/process failures, and parser/token security. The
coverage plan maps parity, properties, fuzzing,
penetration, fault injection, packaging, concurrency, resource, and performance
obligations. Inspect implemented and planned lanes with
uv run --no-sync python -m tests.tooling list; run the active suite with
uv run --no-sync pytest -q.
The quality gate runs uv run --no-sync ruff check .,
uv run --no-sync ruff format --check ., and uv run --no-sync mypy.
CI checks Python 3.12–3.14 type contracts for Linux, macOS, and Windows.
Production and benchmark code require complete annotations; mypy also rejects
missing type information, unsafe overrides, unused awaitables, possibly
uninitialized values, and incomplete pattern matches. Development stubs cover
protobuf and sorted containers without adding runtime dependencies. Compatible
exceptions for dynamic stdlib APIs, private regex internals, and deliberately
invalid test inputs are documented in pyproject.toml. The
typing gate tests
verify that the actual analyzers accept valid code and reject seeded mistakes.
The fuzz runner supplies eleven parser/token
targets, authenticated corpora, deterministic mutation, and bounded Atheris
campaigns. Run uv run --no-sync python -m tests.tooling.fuzz check to validate
the inventory, or uv run --no-sync python -m tests.tooling.fuzz replay to
replay every installed target. CI retains findings and coverage corpora.
The chaos runner exercises recorded filesystem,
process, stream and clock/entropy failures and recovery. Run
uv run --no-sync python -m tests.tooling.chaos run --seed 173 for a bounded
installed-backend campaign with per-case journals and reproducible schedules.
The concurrency runner checks atomic file
histories, UUID contention and fork safety, and shared cache/parser isolation.
Run uv run --no-sync python -m tests.tooling.concurrency run --seed 173 for
bounded installed-backend workers with retained histories and replay.
Prior art
- orjson (Kloss) / msgspec (Fitzgerald) / pybase64 (aklomp libbase64) — the serde backends.
- The guarded-optional-backend pattern is the one uvloop popularized: import the accelerator, fall back when it is absent.
License
Apache-2.0
1 maintainer
Metadata
1 maintainer
Release files for unstd 3.1.3
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