Open source RGB lighting control that doesn't depend on manufacturer software. Supports Windows, Linux, MacOS. Mirror of https://gitlab.com/CalcProgrammer1/OpenRGB. Releases can be found on GitLab.

Focus on what matters instead of fighting with Git.

Scrub the whole crypto market like a video: every symbol, full orderbook + trades + funding, rewound to any moment, reconstructed in O(1) via deterministic re-fold.

A vector database of the whole market: every asset as a 514-dim live vector over 514 O(1) streaming indicators. Similarity search, clustering, anomaly detection over microstructure DNA.

The backtester that knows you would have moved the market: agent-based fills on the real historical L2 order book.

Evolutionary strategy search at millions of backtests per second — mutates and crosses JSON strategy specs to brute-force alpha across the 514-indicator space.

Compile a Wickra strategy spec into a standalone deployable: WASM module, self-contained binary, or no_std artifact for microcontrollers.

Wickra's O(1) indicator core running bare-metal on a $5 Raspberry Pi Pico — the LED blinks on the EMA cross.

Allocation-free, no_std streaming indicators for bare-metal and HFT — byte-for-byte identical to wickra-core.

Deterministic synthetic market microstructure — OHLCV, order book, trades and funding from a single seed, byte-identical across ten languages.

Turn OHLCV and microstructure event streams into ML-ready feature matrices over 514 O(1) streaming indicators — deterministic across 10 languages.

Reproducible, golden-verified benchmark suite for quant backtests — recompute any (strategy, dataset, report) in ten languages and confirm it byte-for-byte.

A Gymnasium-compatible, microstructure-aware backtest environment with O(1) steps: precompute the dataset to a fixed feature tensor once, then step() is a pure array index. Deterministic RL rollout…

A polyglot strategy playground: run one StrategySpec live, side by side, byte-identical in Python, Rust, JS and Go — entirely in the browser (WASM), no backend.

Verify any backtest: deterministically confirm or refute a claimed backtest report against its strategy and data, in ten languages.

Prove your backtest — zero-knowledge, on-chain-verifiable performance without revealing your data or strategy.

Jest for trading strategies: golden-pin the BacktestReport, catch regressions in CI, property-test against fuzzed data — usable in all 10 languages plus a composite GitHub Action.

Fast disk usage & duplicate finder, written in Rust (CLI + JSON for agents; modern GUI coming).

Proof-of-Backtest: deterministic (spec, data) -> report + blake3 hash, byte-identically recomputable in 10 languages. Kills trust-me-bro backtest screenshots.

Shazam for markets — match an asset's current 514-dim microstructure fingerprint against its entire history to name the regime ("that's the May-2021 crash setup"), over the Wickra core, in ten lang…

Market copilot — an LLM grounded in real order book, liquidation and funding microstructure, not vibes: a local trading assistant that cannot hallucinate, over the Wickra core, in ten languages.

Liquidation radar — sees cascades before they happen: OI, funding, order-book and liquidation signals across every perp in parallel over the Wickra core, in ten languages.

Microstructure explorer — footprint, order-book heatmap, liquidation map and funding/OI divergence over the Wickra core, in ten languages with a web renderer.

Parallel multi-symbol screener: scan thousands of symbols against data-driven conditions over 514 O(1) streaming indicators.

Streaming trading terminal — one data-driven core in 10 languages, with Web and TUI as a selectable renderer. Built on the Wickra core, exchange connectivity and backtester.

Streaming-native crypto-exchange connectivity built on the Wickra core: one typed, unified API over the ten largest exchanges, across 8 languages.

Data for this-week-in-rust.org

Streaming-native backtester for the Wickra indicator library — backtest == live, in 10 languages (WIP).

Live in-browser demo of all 514 Wickra streaming indicators over real Binance data — zero backend, powered by wickra-wasm.

🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman