Showing 4 open source projects for "python data analysis"

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  • 1
    bitchat

    bitchat

    bluetooth mesh chat, IRC vibes

    bitchat is a decentralized peer-to-peer messaging app that operates over Bluetooth mesh networks, enabling local group chats without the need for internet, servers, or phone numbers. It is designed with privacy and security in mind, offering encrypted private messages and channels alongside a public local chat that requires no registration.
    Downloads: 36 This Week
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  • 2

    David okeamah

    Official repository for $CHONK9K, a community-driven token on Solana.

    $CHONK9K is a Solana-based memecoin with real utility, community engagement, and NFT integration. It powers peer-to-peer payments, automated airdrops, governance (planned), and social rewards. Integrated with The Graph via chonk9k-subgraph for real-time analytics and transparency. NFTs feature cybernetic chonky cats with traits, rarity, and staking utility. CHONK9K supports DeFi incentives, yield farming, and is tied into GitHub automation workflows for developer contributions. Future...
    Downloads: 3 This Week
    Last Update:
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  • 3
    MetaHash

    MetaHash

    #MetaHash is a next-generation network based on the Blockchain 4.0

    #MetaHash is a next-generation network based on the Blockchain 4.0 technology for sharing digital assets and a platform for creating and managing decentralized apps and services in real-time. The #MetaHash project implements a solution that simultaneously possesses all the qualities of Blockchain new generation, namely: - Decentralization, which ensures absolute trust of users to the network; - Full synchronization, thanks to which each user has instant access to the most relevant...
    Downloads: 0 This Week
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  • 4
    abu

    abu

    Abu quantitative trading system (stocks, options, futures, bitcoin)

    Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0.
    Downloads: 0 This Week
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