kingchenc
371d338a8b
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.
Wickra — Python bindings
Streaming-first technical indicators powered by a Rust core.
pip install wickra
Quick start
import numpy as np
import wickra as ta
# Batch — TA-Lib-style usage
prices = np.linspace(100, 200, 1000)
rsi = ta.RSI(14).batch(prices) # NumPy array; NaN during warmup
# Streaming — feed ticks one at a time
rsi = ta.RSI(14)
for price in live_prices:
v = rsi.update(price) # O(1) per tick
if v is not None and v > 70:
...
What's included
25 streaming-first indicators across four families. Every one passes a
batch == streaming equivalence test and reference-value tests:
- Trend — SMA, EMA, WMA, DEMA, TEMA, HMA, KAMA
- Momentum — RSI (Wilder), MACD, Stochastic, CCI, ROC, WilliamsR, ADX, MFI, TRIX, AwesomeOscillator, Aroon
- Volatility — BollingerBands, ATR, Keltner, Donchian, PSAR
- Volume — OBV, VWAP
Why streaming-first matters
Classic TA libraries are batch-only: every live tick triggers a full recomputation over the entire history. Wickra updates indicator state in O(1) per tick. On a 5K-bar history the streaming RSI gap is ~17× over the nearest peer with a streaming API and 100×+ over batch-only libraries.
Full project
See https://github.com/kingchenc/wickra for benchmarks, the Rust core, Node.js and WebAssembly bindings, examples, and CI.
License
Licensed under the PolyForm Noncommercial License 1.0.0. Personal, research, educational, and non-profit use are all permitted. Commercial sale requires a separate license — contact via the GitHub repo.