2 projects for "data analytics" with 2 filters applied:

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    Kohaku

    Kohaku

    Privacy-first tooling for the Ethereum ecosystem

    ...The project recognizes that privacy leaks in Ethereum go beyond just on-chain visibility — they include RPC endpoints exposing IPs, address reuse across dApps, and metadata captured by analytics or monitoring systems. Kohaku addresses privacy holistically: from local light-client verification (to reduce reliance on centralized RPCs) to per-dApp account isolation (so one user session cannot be correlated across services). It also integrates with existing privacy protocols (e.g., shielded transaction pools) and envisions long-term capabilities like post-quantum signatures, hardware wallet hooks, and minimal-trust data queries (TEE/ORAM or PIR).
    Downloads: 0 This Week
    Last Update:
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  • 2
    Catalyst

    Catalyst

    An Algorithmic Trading Library for Crypto-Assets in Python

    Catalyst is an algorithmic trading library for crypto-assets written in Python, originally developed to let quants and developers design, backtest, and deploy trading strategies in a unified environment. It builds on top of Zipline, extending that ecosystem to support crypto exchanges and high-resolution historical data (daily and minute bars). Users can express strategies in Python, run backtests against historical price data, and analyze performance through built-in metrics and analytics to evaluate profitability, risk, and behavior under different market conditions. Beyond backtesting, Catalyst was designed to support live trading on multiple crypto exchanges such as Binance, Bitfinex, Bittrex, and Poloniex, bridging simulation and production within the same framework. ...
    Downloads: 0 This Week
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