Showing 4 open source projects for "data structure"

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  • 1
    Polymarket Data

    Polymarket Data

    Polymarket Data Retriever that fetches, processes, and structures data

    Polymarket Data is a comprehensive data engineering pipeline designed to collect, process, and structure trading activity from the Polymarket prediction market ecosystem into analyzable datasets. The system operates as a multi-stage pipeline that integrates data from both off-chain APIs and on-chain event sources, enabling users to reconstruct full trading activity including markets, order events, and executed trades.
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  • 2
    Swarm Bee

    Swarm Bee

    Bee is a Swarm client implemented in Go

    Bee is a Swarm client implemented in Go. It’s the basic building block for the Swarm network: a private; decentralized; and self-sustaining network for permissionless publishing and access to your (application) data.There are two versioning schemes used in Bee that you should be aware of. The main Bee version does NOT follow strict Semantic Versioning. Bee hosts different peer-to-peer wire protocol implementations and individual protocol breaking changes would necessitate a bump in the major...
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  • 3
    BDS

    BDS

    Blockchain data parsing and persisting results

    JD Cloud Blockchain Data Service (BDS) is a real-time data aggregating, analyzing, and visualization service for chain-like unstructured data from all kinds of 3rd party Blockchains. Splitter is the key module of Blockchain Data Service (BDS) and provides data analysis capability. Splitter is responsible for consuming blockchain data from message queue (kafka) and inserting data into persistent data storage services (relational database, data warehouse, etc.) for further processing. Before...
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  • 4
    fooltrader

    fooltrader

    Quant framework for stock

    Build a standard data schema, and then implement various connectors to import systems you are familiar with for analysis. fooltrader is a quantitative analysis trading system designed using big data technology, including data capture, cleaning, structuring, calculation, display, backtesting and trading. Its goal is to provide a unified framework for the whole market (stock, futures, bonds, foreign exchange, digital currency, macroeconomics, etc.) for research, backtesting, forecasting, and...
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