v0.1.0 reached crates.io, PyPI, and the wickra-wasm npm package, but
the wickra Node binding never published because the workflow called
`napi create-npm-dirs` (plural). The actual napi CLI command is
`create-npm-dir` (singular, per target).
Changes that make the next tag's release actually finish:
- workflow: replace the broken step with a loop that runs
`napi create-npm-dir -t <triple>` for each of our four build targets.
- workflow: every registry publish step now treats "version already
uploaded" as success. That makes re-runs (and partial-failure
recoveries) safe instead of failing the whole job.
- bindings/node/package.json: trim the napi.triples list to the four
platforms we actually build (linux-x64-gnu, darwin-x64, darwin-arm64,
win32-x64-msvc). The previous defaults+9-extras configuration would
have made napi prepublish expect platform packages we never produced.
- bindings/node/index.js: switch from local-only binary lookup to the
proper napi loader that tries the local `.node` file first and falls
back to the per-platform npm subpackage that's installed as an
optional dependency in production.
- Versions across all four published packages bumped to 0.1.1 so the
Node binding can publish for the first time alongside refreshed
cargo/pypi/wasm artefacts.
On every v* tag push the release workflow now publishes the project to
all three public registries in parallel:
- crates.io: wickra-core then wickra-data then wickra, with a 45-second
sleep between each so the registry index can refresh before the next
publish step asserts the previous version is available.
- PyPI: maturin-action builds wheels for Linux x86_64 + aarch64, macOS
x86_64 + aarch64, and Windows x64, plus an sdist; all artefacts upload
to PyPI via MATURIN_PYPI_TOKEN.
- npm: napi-rs builds a native binary per platform (linux-x64-gnu,
darwin-x64, darwin-arm64, win32-x64-msvc), publishes each as its own
platform package, then publishes the main `wickra` meta-package
that resolves to the right platform at install time.
- WASM: wasm-pack builds the bundler-target package and publishes it as
`wickra-wasm` on npm, with the auto-generated package.json enriched
with the author/repo/license metadata.
Package metadata was unified so all targets point at kingchenc/wickra
on GitHub; the Node binding is now plain `wickra` (the @wickra/ scope
was unnecessary because the bare name was free). README install table
updated to match.
Switches the project from Apache-2.0 to PolyForm Noncommercial 1.0.0.
Use, modification, redistribution, forking and contribution are all
permitted; the only thing the new license withholds is commercial sale
of the software or of services built primarily around it.
Updates: LICENSE file, workspace Cargo license metadata, the Python
pyproject classifier and SPDX field, and the Node package.json. The
README now explains the practical scope in plain English.
A multi-language technical analysis library: 25 indicators across trend,
momentum, volatility, and volume families, every one a state machine with
O(1) per-tick updates. Batch evaluation is provided by a blanket extension
trait over the streaming primitive, so live trading bots and historical
backtests run the same code path.
What ships in this initial drop:
crates/wickra-core - 25 indicators, Indicator/BatchExt/Chain traits,
OHLCV types with validation; 171 unit tests,
property tests, Wilder/Bollinger textbook tests.
crates/wickra - top-level facade + criterion benches for every
indicator at 1K/10K/100K series sizes.
crates/wickra-data - streaming CSV reader, tick-to-candle aggregator,
multi-timeframe resampler, Binance Spot kline
WebSocket adapter behind feature live-binance;
11 unit + 1 doctest.
bindings/python - PyO3 + maturin, NumPy I/O, type stubs (.pyi),
56 pytest tests including streaming==batch
equivalence, Wilder reference values, lifecycle.
bindings/node - napi-rs native module, TypeScript .d.ts
auto-generated, 7 node --test cases.
bindings/wasm - wasm-bindgen ES module for browser/bundler/Node;
interactive HTML demo at examples/index.html.
examples/ - Python and Rust scripts: backtest, live trading,
parallel multi-asset, multi-timeframe, Binance.
benchmarks/ - cross-library comparison against TA-Lib,
pandas-ta, finta, talipp; Wickra wins every
category by 11-1030x (batch) and 17x+ streaming.
.github/workflows/ - CI matrix (Rust + Python + Node + WASM on
Linux/macOS/Windows), release pipeline for
PyPI wheels and npm.
Indicators (25):
Trend SMA EMA WMA DEMA TEMA HMA KAMA
Momentum RSI MACD Stochastic CCI ROC WilliamsR ADX MFI TRIX
AwesomeOscillator Aroon
Volatility BollingerBands ATR Keltner Donchian PSAR
Volume OBV VWAP (cumulative + rolling)
cargo clippy --workspace --all-targets -D warnings is clean. License: Apache-2.0.
kingchenc