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Author SHA1 Message Date
kingchenc e30b3c6b35 release: 0.2.7 (Windows ARM64 restored + CPU label fix) (#37)
* chore(docs): rename benchmark CPU from 7950X3D to 9950X

The "Reproduced on" line in the umbrella + binding READMEs and the
benchmark page on the site listed the wrong AMD CPU. The benchmarks
were actually produced on a Ryzen 9 9950X, not a 7950X3D. Same
column for absolute µs values applies — the speedup ratios in the
tables are unchanged either way because they're relative across
libraries on the same machine.

The performance-regression issue template's CPU example also
updated for consistency (it was a generic placeholder, but matching
the canonical machine makes the example concrete).

* chore(npm): restore Windows ARM64 sub-package + napi matrix entry

npm Support unblocked the `wickra-win32-arm64-msvc` package name and
transferred write access to @kingchenc (placeholder 0.0.1-security
was published from their side; we ship our first real version on
top of that). This re-enables every change 8aa74cb temporarily
backed out for 0.2.1:

- bindings/node/package.json: re-add `aarch64-pc-windows-msvc` to
  napi.triples.additional and `wickra-win32-arm64-msvc` to
  optionalDependencies.
- bindings/node/npm/win32-arm64-msvc/package.json: restored — name,
  cpu = arm64, os = win32, version pinned to the workspace.
- .github/workflows/release.yml: re-enable the
  `windows-11-arm / aarch64-pc-windows-msvc` row in the node-build
  matrix and drop the "temporarily skipped" comment block.

After the next tag-push this binding will be published alongside
the other five platforms and `npm install wickra` on Windows ARM64
will resolve to a native build instead of failing the loader's
optional-dep lookup.

* release: bump workspace + bindings to 0.2.7

Workspace, every binding (Python, Node, six platform stubs incl. the
restored win32-arm64-msvc), and the CHANGELOG all move together to
0.2.7. wickra-win32-arm64-msvc is now part of the standard publish
matrix and will land on npm alongside the other five binaries.

The 0.2.7 CHANGELOG entry consolidates the two changes this cycle:
- Windows ARM64 binding restored (npm Support unblocked the name).
- Benchmark CPU label corrected (Ryzen 9 9950X, not 7950X3D).
2026-05-24 11:46:49 +02:00
kingchenc 070be2eb27 release: 0.2.6 (docs.rs fix + README table reordering) (#36)
* fix(docs-rs): rename `doc_auto_cfg` to `doc_cfg` after Rust 1.92 merge

`doc_auto_cfg` was removed in Rust 1.92.0 and folded back into
`doc_cfg` (rust-lang/rust#138907). docs.rs builds with the latest
nightly and sets `--cfg docsrs`, so the previous

    #![cfg_attr(docsrs, feature(doc_auto_cfg))]

aborts compilation with E0557 on every published 0.2.x. GitHub CI
never tripped this — stable rustc ignores the line because nothing
sets the `docsrs` cfg there.

Switch all three published library crates (`wickra`, `wickra-core`,
`wickra-data`) to the merged-into `doc_cfg` gate. Same intent, same
on-docs.rs output, builds again on nightly.

* docs(readme): float Wickra to the top of the comparison tables

Reorders the "Why Wickra exists" library-comparison table and the two
benchmark headers so Wickra is the first row (with a ★ marker) instead
of the last. The previous order placed Wickra at the bottom, which
buries the only row a reader landing on the README is here to compare
against. Same column data, same ★/winner annotations, just the row
order flipped and a ★ prefix on the Wickra label.

Mirrored across the umbrella README and every binding README so the
crates.io / PyPI / npm landing pages stay in sync.

* release: bump workspace + bindings to 0.2.6

Workspace, every binding (Python, Node, Node platform stubs), the
release.yml comment and the CHANGELOG all move together to 0.2.6 so
the next tagged release lines every artefact up.

0.2.6 carries two changes from the [0.2.6] CHANGELOG entry:
- fix(docs-rs): swap the now-removed `doc_auto_cfg` feature gate for
  the merged-into `doc_cfg` so docs.rs nightly builds resume.
- docs(readme): float ★ Wickra to the top of every comparison table
  across the umbrella + binding READMEs.

wickra-win32-arm64-msvc stays excluded for this release with the same
npm spam-filter rationale that held for 0.2.5.
2026-05-24 03:20:13 +02:00
20 changed files with 154 additions and 87 deletions
@@ -44,7 +44,7 @@ ema/update time: [38.5 ns 38.7 ns 38.9 ns]
| Field | Value |
| ------------ | -------------------------------------- |
| CPU | `e.g. Ryzen 9 7950X, AVX2 + AVX512` |
| CPU | `e.g. Ryzen 9 9950X, AVX2 + AVX512` |
| OS / arch | `e.g. Linux 6.8 x86_64` |
| Toolchain | `rustc 1.x.y` |
| Build flags | `RUSTFLAGS=...`, `--release`, profile |
+1 -9
View File
@@ -173,15 +173,7 @@ jobs:
- { host: macos-latest, target: x86_64-apple-darwin }
- { host: macos-latest, target: aarch64-apple-darwin }
- { host: windows-latest, target: x86_64-pc-windows-msvc }
# NOTE: aarch64-pc-windows-msvc is temporarily skipped for 0.2.5.
# The wickra-win32-arm64-msvc npm subpackage name is blocked by the
# npm spam-detection filter for new accounts (same situation that
# affected wickra-win32-x64-msvc through 0.1.4 until npm Support
# unblocked it). A support ticket is open; once the new arm64 name
# is unblocked this matrix entry will be restored alongside the
# corresponding optionalDependencies / napi.triples / npm/<target>
# entries in a follow-up release.
# - { host: windows-11-arm, target: aarch64-pc-windows-msvc }
- { host: windows-11-arm, target: aarch64-pc-windows-msvc }
runs-on: ${{ matrix.host }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
+50 -1
View File
@@ -7,6 +7,53 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
## [Unreleased]
## [0.2.7] - 2026-05-24
### Added
- **Windows ARM64 is back.** npm Support unblocked the
`wickra-win32-arm64-msvc` sub-package name (same path
`wickra-win32-x64-msvc` took through 0.1.4) and transferred write
access to @kingchenc. 0.2.7 ships the binding for
`aarch64-pc-windows-msvc` alongside the existing five platforms:
the `napi.triples.additional` entry, the `optionalDependencies`
pin, the `bindings/node/npm/win32-arm64-msvc/` sub-package and the
`windows-11-arm` row of the release.yml node-build matrix are all
restored from 8aa74cb. `npm install wickra` on Windows ARM64 now
resolves to a native build instead of failing the loader's
optional-dep lookup. PyPI's `win_arm64` wheel was unaffected and
carries through as before.
### Changed
- **Benchmark CPU renamed.** The "Reproduced on" line in every
README listed an AMD Ryzen 9 7950X3D; the canonical machine is
actually a Ryzen 9 9950X. Speedup ratios in the tables are
unchanged (they're relative across libraries on the same machine),
only the labelling is corrected. The performance-regression issue
template's CPU example was updated for consistency.
## [0.2.6] - 2026-05-24
### Fixed
- **docs.rs build.** Rust 1.92 removed the `doc_auto_cfg` feature gate
and folded it back into `doc_cfg` (rust-lang/rust#138907). docs.rs
builds against the latest nightly and sets `--cfg docsrs`, so every
published 0.2.x failed with E0557 on the
`#![cfg_attr(docsrs, feature(doc_auto_cfg))]` line at the top of
`wickra`, `wickra-core`, and `wickra-data`. GitHub CI didn't see
this — stable rustc never enables the `docsrs` cfg. The three
library crates now gate on `doc_cfg` (same intent, same rendered
output on docs.rs, builds again on nightly).
### Changed
- **README — Wickra is now the top row of every comparison table.**
The "Why Wickra exists" library matrix and the per-indicator
benchmark tables previously placed Wickra at the bottom; a reader
landing on the README is here to compare *against* Wickra, so the
pivot row belongs at the top with a ★ marker. Same column data,
same winner annotations — only row order changed. Mirrored across
the umbrella README and every binding README so crates.io / PyPI /
npm landing pages stay in sync.
## [0.2.5] - 2026-05-24
### Added
@@ -352,7 +399,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
optional Binance live feed.
- Bindings for Python, Node.js, and WebAssembly.
[Unreleased]: https://github.com/kingchenc/wickra/compare/v0.2.5...HEAD
[Unreleased]: https://github.com/kingchenc/wickra/compare/v0.2.7...HEAD
[0.2.7]: https://github.com/kingchenc/wickra/compare/v0.2.6...v0.2.7
[0.2.6]: https://github.com/kingchenc/wickra/compare/v0.2.5...v0.2.6
[0.2.5]: https://github.com/kingchenc/wickra/compare/v0.2.1...v0.2.5
[0.2.1]: https://github.com/kingchenc/wickra/compare/v0.2.0...v0.2.1
[0.2.0]: https://github.com/kingchenc/wickra/compare/v0.1.4...v0.2.0
Generated
+6 -6
View File
@@ -1867,7 +1867,7 @@ dependencies = [
[[package]]
name = "wickra"
version = "0.2.5"
version = "0.2.7"
dependencies = [
"approx",
"criterion",
@@ -1878,7 +1878,7 @@ dependencies = [
[[package]]
name = "wickra-core"
version = "0.2.5"
version = "0.2.7"
dependencies = [
"approx",
"proptest",
@@ -1888,7 +1888,7 @@ dependencies = [
[[package]]
name = "wickra-data"
version = "0.2.5"
version = "0.2.7"
dependencies = [
"approx",
"csv",
@@ -1915,7 +1915,7 @@ dependencies = [
[[package]]
name = "wickra-node"
version = "0.2.5"
version = "0.2.7"
dependencies = [
"napi",
"napi-build",
@@ -1925,7 +1925,7 @@ dependencies = [
[[package]]
name = "wickra-python"
version = "0.2.5"
version = "0.2.7"
dependencies = [
"numpy",
"pyo3",
@@ -1934,7 +1934,7 @@ dependencies = [
[[package]]
name = "wickra-wasm"
version = "0.2.5"
version = "0.2.7"
dependencies = [
"console_error_panic_hook",
"js-sys",
+2 -2
View File
@@ -12,7 +12,7 @@ members = [
exclude = ["fuzz"]
[workspace.package]
version = "0.2.5"
version = "0.2.7"
authors = ["kingchenc <kingchencp@gmail.com>"]
edition = "2021"
rust-version = "1.86"
@@ -24,7 +24,7 @@ keywords = ["finance", "trading", "indicators", "technical-analysis", "ta"]
categories = ["finance", "mathematics", "science"]
[workspace.dependencies]
wickra-core = { path = "crates/wickra-core", version = "0.2.5" }
wickra-core = { path = "crates/wickra-core", version = "0.2.7" }
thiserror = "2"
rayon = "1.10"
+13 -13
View File
@@ -36,16 +36,16 @@ for price in live_feed:
The Python TA ecosystem has plenty of libraries — TA-Lib, pandas-ta, finta,
talipp, tulipy — and every one of them shares the same blind spot:
| Library | Install pain | Streaming | Multi-language | Active |
|--------------------|-----------------|-----------|----------------|--------|
| TA-Lib (Python) | yes (C deps) | no | no | barely |
| pandas-ta | clean | no | no | slow |
| finta | clean | no | no | stale |
| ta-lib-python | yes (C deps) | no | no | barely |
| talipp | clean | yes | no | yes |
| Tulip Indicators | yes (C deps) | no | partial | stale |
| ooples (C#) | clean | no | C# only | yes |
| **Wickra** | **clean** | **yes** | **Python+Node+WASM+Rust** | **yes** |
| Library | Install pain | Streaming | Multi-language | Active |
|------------------------|-----------------|-----------|----------------|--------|
| **★&nbsp;Wickra** | **clean** | **yes** | **Python + Node + WASM + Rust** | **yes** |
| TA-Lib (Python) | yes (C deps) | no | no | barely |
| pandas-ta | clean | no | no | slow |
| finta | clean | no | no | stale |
| ta-lib-python | yes (C deps) | no | no | barely |
| talipp | clean | yes | no | yes |
| Tulip Indicators | yes (C deps) | no | partial | stale |
| ooples (C#) | clean | no | C# only | yes |
Wickra is the only library that combines all of: clean install, streaming,
multi-language reach, and active maintenance.
@@ -58,7 +58,7 @@ depend on CPU, memory clock and OS scheduler. Read them as **relative
speedups** between libraries on identical input, not as a universal
performance contract.
- **Reproduced on:** Windows 11 Pro 26200, AMD Ryzen 9 7950X3D, 64 GB DDR5,
- **Reproduced on:** Windows 11 Pro 26200, AMD Ryzen 9 9950X, 64 GB DDR5,
Rust 1.92 (release profile, `lto = "fat"`, `codegen-units = 1`),
Python 3.12, Node 20.
- **Reproduce yourself:** `pip install -e bindings/python[bench]` then
@@ -76,7 +76,7 @@ to recompute on every tick.
Reading the table: each cell shows that library's runtime, plus how many times
slower it is than Wickra in parentheses. **★** marks the winner per row.
| Indicator | Wickra | finta | talipp |
| Indicator | **★&nbsp;Wickra** | finta | talipp |
|---------------------|---------------------|-----------------------------|-------------------------------|
| SMA(20) | **95.6 µs ★** | 343.5 µs (3.6× slower) | 7 640.6 µs (79.9× slower) |
| EMA(20) | **64.6 µs ★** | 223.1 µs (3.5× slower) | 12 160.9 µs (188.2× slower) |
@@ -90,7 +90,7 @@ slower it is than Wickra in parentheses. **★** marks the winner per row.
A batch-only library has to re-run its full indicator over the entire history on
every new tick; Wickra updates state in O(1).
| Indicator | Wickra (per tick) | talipp (per tick) |
| Indicator | **★&nbsp;Wickra (per tick)** | talipp (per tick) |
|-----------|---------------------|---------------------------|
| RSI(14) | **0.119 µs ★** | 1.644 µs (13.8× slower) |
+13 -13
View File
@@ -36,16 +36,16 @@ for price in live_feed:
The Python TA ecosystem has plenty of libraries — TA-Lib, pandas-ta, finta,
talipp, tulipy — and every one of them shares the same blind spot:
| Library | Install pain | Streaming | Multi-language | Active |
|--------------------|-----------------|-----------|----------------|--------|
| TA-Lib (Python) | yes (C deps) | no | no | barely |
| pandas-ta | clean | no | no | slow |
| finta | clean | no | no | stale |
| ta-lib-python | yes (C deps) | no | no | barely |
| talipp | clean | yes | no | yes |
| Tulip Indicators | yes (C deps) | no | partial | stale |
| ooples (C#) | clean | no | C# only | yes |
| **Wickra** | **clean** | **yes** | **Python+Node+WASM+Rust** | **yes** |
| Library | Install pain | Streaming | Multi-language | Active |
|------------------------|-----------------|-----------|----------------|--------|
| **★&nbsp;Wickra** | **clean** | **yes** | **Python + Node + WASM + Rust** | **yes** |
| TA-Lib (Python) | yes (C deps) | no | no | barely |
| pandas-ta | clean | no | no | slow |
| finta | clean | no | no | stale |
| ta-lib-python | yes (C deps) | no | no | barely |
| talipp | clean | yes | no | yes |
| Tulip Indicators | yes (C deps) | no | partial | stale |
| ooples (C#) | clean | no | C# only | yes |
Wickra is the only library that combines all of: clean install, streaming,
multi-language reach, and active maintenance.
@@ -58,7 +58,7 @@ depend on CPU, memory clock and OS scheduler. Read them as **relative
speedups** between libraries on identical input, not as a universal
performance contract.
- **Reproduced on:** Windows 11 Pro 26200, AMD Ryzen 9 7950X3D, 64 GB DDR5,
- **Reproduced on:** Windows 11 Pro 26200, AMD Ryzen 9 9950X, 64 GB DDR5,
Rust 1.92 (release profile, `lto = "fat"`, `codegen-units = 1`),
Python 3.12, Node 20.
- **Reproduce yourself:** `pip install -e bindings/python[bench]` then
@@ -76,7 +76,7 @@ to recompute on every tick.
Reading the table: each cell shows that library's runtime, plus how many times
slower it is than Wickra in parentheses. **★** marks the winner per row.
| Indicator | Wickra | finta | talipp |
| Indicator | **★&nbsp;Wickra** | finta | talipp |
|---------------------|---------------------|-----------------------------|-------------------------------|
| SMA(20) | **95.6 µs ★** | 343.5 µs (3.6× slower) | 7 640.6 µs (79.9× slower) |
| EMA(20) | **64.6 µs ★** | 223.1 µs (3.5× slower) | 12 160.9 µs (188.2× slower) |
@@ -90,7 +90,7 @@ slower it is than Wickra in parentheses. **★** marks the winner per row.
A batch-only library has to re-run its full indicator over the entire history on
every new tick; Wickra updates state in O(1).
| Indicator | Wickra (per tick) | talipp (per tick) |
| Indicator | **★&nbsp;Wickra (per tick)** | talipp (per tick) |
|-----------|---------------------|---------------------------|
| RSI(14) | **0.119 µs ★** | 1.644 µs (13.8× slower) |
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "wickra-darwin-arm64",
"version": "0.2.5",
"version": "0.2.7",
"description": "Native binding for wickra (macOS Apple Silicon). Installed automatically as an optional dependency of wickra on matching platforms.",
"main": "wickra.darwin-arm64.node",
"files": [
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "wickra-darwin-x64",
"version": "0.2.5",
"version": "0.2.7",
"description": "Native binding for wickra (macOS Intel). Installed automatically as an optional dependency of wickra on matching platforms.",
"main": "wickra.darwin-x64.node",
"files": [
@@ -1,6 +1,6 @@
{
"name": "wickra-linux-arm64-gnu",
"version": "0.2.5",
"version": "0.2.7",
"description": "Native binding for wickra (linux arm64 GNU). Installed automatically as an optional dependency of wickra on matching platforms.",
"main": "wickra.linux-arm64-gnu.node",
"files": [
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "wickra-linux-x64-gnu",
"version": "0.2.5",
"version": "0.2.7",
"description": "Native binding for wickra (linux x64 GNU). Installed automatically as an optional dependency of wickra on matching platforms.",
"main": "wickra.linux-x64-gnu.node",
"files": [
@@ -0,0 +1,24 @@
{
"name": "wickra-win32-arm64-msvc",
"version": "0.2.7",
"description": "Native binding for wickra (Windows arm64 MSVC). Installed automatically as an optional dependency of wickra on matching platforms.",
"main": "wickra.win32-arm64-msvc.node",
"files": [
"wickra.win32-arm64-msvc.node"
],
"license": "PolyForm-Noncommercial-1.0.0",
"engines": {
"node": ">= 18"
},
"os": [
"win32"
],
"cpu": [
"arm64"
],
"repository": {
"type": "git",
"url": "https://github.com/kingchenc/wickra"
},
"homepage": "https://github.com/kingchenc/wickra"
}
@@ -1,6 +1,6 @@
{
"name": "wickra-win32-x64-msvc",
"version": "0.2.5",
"version": "0.2.7",
"description": "Native binding for wickra (Windows x64 MSVC). Installed automatically as an optional dependency of wickra on matching platforms.",
"main": "wickra.win32-x64-msvc.node",
"files": [
+9 -7
View File
@@ -1,6 +1,6 @@
{
"name": "wickra",
"version": "0.2.5",
"version": "0.2.7",
"description": "Streaming-first technical indicators: incremental, fast, install-free. Node bindings powered by Rust.",
"author": "kingchenc <kingchencp@gmail.com>",
"main": "index.js",
@@ -38,7 +38,8 @@
"aarch64-unknown-linux-gnu",
"x86_64-apple-darwin",
"aarch64-apple-darwin",
"x86_64-pc-windows-msvc"
"x86_64-pc-windows-msvc",
"aarch64-pc-windows-msvc"
]
}
},
@@ -46,11 +47,12 @@
"node": ">= 18"
},
"optionalDependencies": {
"wickra-linux-x64-gnu": "0.2.5",
"wickra-linux-arm64-gnu": "0.2.5",
"wickra-darwin-x64": "0.2.5",
"wickra-darwin-arm64": "0.2.5",
"wickra-win32-x64-msvc": "0.2.5"
"wickra-linux-x64-gnu": "0.2.7",
"wickra-linux-arm64-gnu": "0.2.7",
"wickra-darwin-x64": "0.2.7",
"wickra-darwin-arm64": "0.2.7",
"wickra-win32-x64-msvc": "0.2.7",
"wickra-win32-arm64-msvc": "0.2.7"
},
"scripts": {
"build": "napi build --platform --release",
+13 -13
View File
@@ -36,16 +36,16 @@ for price in live_feed:
The Python TA ecosystem has plenty of libraries — TA-Lib, pandas-ta, finta,
talipp, tulipy — and every one of them shares the same blind spot:
| Library | Install pain | Streaming | Multi-language | Active |
|--------------------|-----------------|-----------|----------------|--------|
| TA-Lib (Python) | yes (C deps) | no | no | barely |
| pandas-ta | clean | no | no | slow |
| finta | clean | no | no | stale |
| ta-lib-python | yes (C deps) | no | no | barely |
| talipp | clean | yes | no | yes |
| Tulip Indicators | yes (C deps) | no | partial | stale |
| ooples (C#) | clean | no | C# only | yes |
| **Wickra** | **clean** | **yes** | **Python+Node+WASM+Rust** | **yes** |
| Library | Install pain | Streaming | Multi-language | Active |
|------------------------|-----------------|-----------|----------------|--------|
| **★&nbsp;Wickra** | **clean** | **yes** | **Python + Node + WASM + Rust** | **yes** |
| TA-Lib (Python) | yes (C deps) | no | no | barely |
| pandas-ta | clean | no | no | slow |
| finta | clean | no | no | stale |
| ta-lib-python | yes (C deps) | no | no | barely |
| talipp | clean | yes | no | yes |
| Tulip Indicators | yes (C deps) | no | partial | stale |
| ooples (C#) | clean | no | C# only | yes |
Wickra is the only library that combines all of: clean install, streaming,
multi-language reach, and active maintenance.
@@ -58,7 +58,7 @@ depend on CPU, memory clock and OS scheduler. Read them as **relative
speedups** between libraries on identical input, not as a universal
performance contract.
- **Reproduced on:** Windows 11 Pro 26200, AMD Ryzen 9 7950X3D, 64 GB DDR5,
- **Reproduced on:** Windows 11 Pro 26200, AMD Ryzen 9 9950X, 64 GB DDR5,
Rust 1.92 (release profile, `lto = "fat"`, `codegen-units = 1`),
Python 3.12, Node 20.
- **Reproduce yourself:** `pip install -e bindings/python[bench]` then
@@ -76,7 +76,7 @@ to recompute on every tick.
Reading the table: each cell shows that library's runtime, plus how many times
slower it is than Wickra in parentheses. **★** marks the winner per row.
| Indicator | Wickra | finta | talipp |
| Indicator | **★&nbsp;Wickra** | finta | talipp |
|---------------------|---------------------|-----------------------------|-------------------------------|
| SMA(20) | **95.6 µs ★** | 343.5 µs (3.6× slower) | 7 640.6 µs (79.9× slower) |
| EMA(20) | **64.6 µs ★** | 223.1 µs (3.5× slower) | 12 160.9 µs (188.2× slower) |
@@ -90,7 +90,7 @@ slower it is than Wickra in parentheses. **★** marks the winner per row.
A batch-only library has to re-run its full indicator over the entire history on
every new tick; Wickra updates state in O(1).
| Indicator | Wickra (per tick) | talipp (per tick) |
| Indicator | **★&nbsp;Wickra (per tick)** | talipp (per tick) |
|-----------|---------------------|---------------------------|
| RSI(14) | **0.119 µs ★** | 1.644 µs (13.8× slower) |
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "maturin"
[project]
name = "wickra"
version = "0.2.5"
version = "0.2.7"
description = "Streaming-first technical indicators: incremental, fast, install-free."
readme = "README.md"
license = { text = "PolyForm-Noncommercial-1.0.0" }
+13 -13
View File
@@ -36,16 +36,16 @@ for price in live_feed:
The Python TA ecosystem has plenty of libraries — TA-Lib, pandas-ta, finta,
talipp, tulipy — and every one of them shares the same blind spot:
| Library | Install pain | Streaming | Multi-language | Active |
|--------------------|-----------------|-----------|----------------|--------|
| TA-Lib (Python) | yes (C deps) | no | no | barely |
| pandas-ta | clean | no | no | slow |
| finta | clean | no | no | stale |
| ta-lib-python | yes (C deps) | no | no | barely |
| talipp | clean | yes | no | yes |
| Tulip Indicators | yes (C deps) | no | partial | stale |
| ooples (C#) | clean | no | C# only | yes |
| **Wickra** | **clean** | **yes** | **Python+Node+WASM+Rust** | **yes** |
| Library | Install pain | Streaming | Multi-language | Active |
|------------------------|-----------------|-----------|----------------|--------|
| **★&nbsp;Wickra** | **clean** | **yes** | **Python + Node + WASM + Rust** | **yes** |
| TA-Lib (Python) | yes (C deps) | no | no | barely |
| pandas-ta | clean | no | no | slow |
| finta | clean | no | no | stale |
| ta-lib-python | yes (C deps) | no | no | barely |
| talipp | clean | yes | no | yes |
| Tulip Indicators | yes (C deps) | no | partial | stale |
| ooples (C#) | clean | no | C# only | yes |
Wickra is the only library that combines all of: clean install, streaming,
multi-language reach, and active maintenance.
@@ -58,7 +58,7 @@ depend on CPU, memory clock and OS scheduler. Read them as **relative
speedups** between libraries on identical input, not as a universal
performance contract.
- **Reproduced on:** Windows 11 Pro 26200, AMD Ryzen 9 7950X3D, 64 GB DDR5,
- **Reproduced on:** Windows 11 Pro 26200, AMD Ryzen 9 9950X, 64 GB DDR5,
Rust 1.92 (release profile, `lto = "fat"`, `codegen-units = 1`),
Python 3.12, Node 20.
- **Reproduce yourself:** `pip install -e bindings/python[bench]` then
@@ -76,7 +76,7 @@ to recompute on every tick.
Reading the table: each cell shows that library's runtime, plus how many times
slower it is than Wickra in parentheses. **★** marks the winner per row.
| Indicator | Wickra | finta | talipp |
| Indicator | **★&nbsp;Wickra** | finta | talipp |
|---------------------|---------------------|-----------------------------|-------------------------------|
| SMA(20) | **95.6 µs ★** | 343.5 µs (3.6× slower) | 7 640.6 µs (79.9× slower) |
| EMA(20) | **64.6 µs ★** | 223.1 µs (3.5× slower) | 12 160.9 µs (188.2× slower) |
@@ -90,7 +90,7 @@ slower it is than Wickra in parentheses. **★** marks the winner per row.
A batch-only library has to re-run its full indicator over the entire history on
every new tick; Wickra updates state in O(1).
| Indicator | Wickra (per tick) | talipp (per tick) |
| Indicator | **★&nbsp;Wickra (per tick)** | talipp (per tick) |
|-----------|---------------------|---------------------------|
| RSI(14) | **0.119 µs ★** | 1.644 µs (13.8× slower) |
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@@ -34,7 +34,7 @@
//! assert_eq!(out, vec![None, None, Some(2.0), Some(3.0)]);
//! ```
#![cfg_attr(docsrs, feature(doc_auto_cfg))]
#![cfg_attr(docsrs, feature(doc_cfg))]
mod error;
mod ohlcv;
+1 -1
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@@ -7,7 +7,7 @@
//! - [`live`] (feature `live-binance`): connect to exchange websockets and yield
//! typed events compatible with the rest of the crate.
#![cfg_attr(docsrs, feature(doc_auto_cfg))]
#![cfg_attr(docsrs, feature(doc_cfg))]
// `tokio_tungstenite::Error` is large by itself (~200 B). Boxing every Err
// variant per clippy::result_large_err just shifts allocation pressure into
// the hot path. We accept the size because errors are rare in this crate.
+1 -1
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@@ -16,6 +16,6 @@
//! assert_eq!(out, vec![None, None, Some(2.0), Some(3.0), Some(4.0)]);
//! ```
#![cfg_attr(docsrs, feature(doc_auto_cfg))]
#![cfg_attr(docsrs, feature(doc_cfg))]
pub use wickra_core::*;