[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-10622":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":16,"forks30d":16,"starsTrendScore":16,"compositeScore":19,"rankGlobal":10,"rankLanguage":10,"license":20,"archived":21,"fork":21,"defaultBranch":22,"hasWiki":23,"hasPages":23,"topics":24,"createdAt":10,"pushedAt":10,"updatedAt":29,"readmeContent":30,"aiSummary":31,"trendingCount":16,"starSnapshotCount":16,"syncStatus":32,"lastSyncTime":33,"discoverSource":34},10622,"BlockSci","citp\u002FBlockSci","citp","A high-performance tool for blockchain science and exploration","https:\u002F\u002Fcitp.github.io\u002FBlockSci\u002F",null,"C++",1395,270,65,81,0,1,3,56.1,"GNU General Public License v3.0",false,"master",true,[25,26,27,28],"analysis","bitcoin","blockchain","blocksci","2026-06-12 04:00:51","BlockSci\n~~~~~~~~~~~~~~~~~~\n\n**As of November 2020, we are no longer actively developing or supporting BlockSci.** Please be aware that as cryptocurrencies continue to evolve, they may lose compatibility with BlockSci and might break it in unexpected ways.\n\nThe Bitcoin blockchain — currently 280 GB and growing — contains a massive amount of data that can give us insights into the Bitcoin ecosystem, including how users, businesses, and miners operate. BlockSci enables fast and expressive analysis of Bitcoin’s and many other blockchains. The accompanying paper explains its design and applications: https:\u002F\u002Fwww.usenix.org\u002Fsystem\u002Ffiles\u002Fsec20-kalodner.pdf.\n\nCurrent tools for blockchain analysis depend on general-purpose databases that provide \"ACID\" guarantees. But that’s unnecessary for blockchain analysis where the data structures are append-only. We take advantage of this observation in the design of our custom in-memory blockchain database as well as an analysis library. BlockSci’s core infrastructure is written in C++ and optimized for speed. (For example, traversing every transaction input and output on the Bitcoin blockchain takes only **1 second** on our r5.4xlarge EC2 machine.) To make analysis more convenient, we provide Python bindings and a Jupyter notebook interface.\n\n*This repository contains research code that is no longer actively maintained, may contain bugs and errors and may break in unexpected ways. We are an academic team and aren’t able to provide the level of QA and support that you might expect from a commercial project.*\n\n\nDocumentation\n=====================\n\nWe provide instructions in our online documentation_:\n\n- `Installation instructions`_\n\n- `Using BlockSci`_\n\n- `Guide for the fluent interface`_\n\n- `Module reference for the Python interface`_\n\n- `Troubleshooting`_\n\n.. _documentation: https:\u002F\u002Fcitp.github.io\u002FBlockSci\u002F\n\n.. _Installation instructions: https:\u002F\u002Fcitp.github.io\u002FBlockSci\u002Fsetup.html\n\n.. _Guide for the fluent interface: https:\u002F\u002Fcitp.github.io\u002FBlockSci\u002Ffluent-interface.html\n\n.. _Using BlockSci: https:\u002F\u002Fcitp.github.io\u002FBlockSci\u002Fusing-blocksci.html\n\n.. _Module reference for the Python interface: https:\u002F\u002Fcitp.github.io\u002FBlockSci\u002Freference\u002Freference.html\n\n.. _Troubleshooting: https:\u002F\u002Fcitp.github.io\u002FBlockSci\u002Ftroubleshooting.html\n\n\nOur FAQ_ contains additional useful examples and tips.\n\n.. _FAQ: https:\u002F\u002Fgithub.com\u002Fcitp\u002FBlockSci\u002Fwiki\n\n\nLatest release (BlockSci v0.7.0)\n================================\n\nVersion 0.7.0 is based on the development branch v0.6, but requires a full reparse.\n\nVersion 0.7.0 comes with a new `fluent Python interface`_ for fast and expressive blockchain queries. It contains a number of `important bug fixes`_ as well as many smaller improvements. We recommend upgrading to the latest version of BlockSci and no longer use v0.5.\n\n.. _important bug fixes: https:\u002F\u002Fcitp.github.io\u002FBlockSci\u002Fchangelog.html\n.. _fluent Python interface: https:\u002F\u002Fcitp.github.io\u002FBlockSci\u002Ffluent-interface.html\n\nAmazon EC2 AMI\n==============================\n\nWe no longer provide an AMI for BlockSci.\n\n\nGetting help\n============\n\nPlease make sure to check the list of `Frequently Asked Questions`_ as well as the issue tracker first.\nIf you've encountered a bug or have a question about using BlockSci not already answered, the best way to get help is to open a GitHub issue. We are an academic team and aren't able to provide the standard of support that you might expect for a commercial project.\n\n.. _Frequently Asked Questions: https:\u002F\u002Fgithub.com\u002Fcitp\u002FBlockSci\u002Fwiki\n\n\nTeam & contact info\n===================\n\nBlockSci was created by Harry Kalodner, Malte Möser, Kevin Lee, Steven Goldfeder, Martin Plattner, Alishah Chator, and Arvind Narayanan at Princeton University. It is supported by NSF grants CNS-1421689 and CNS-1651938, an NSF Graduate Research Fellowship under grant number DGE-1148900 and a grant from the Ripple University Blockchain Research Initiative. We've released a paper_ describing BlockSci's design and a few applications that illustrate its capabilities (an updated version of the paper has been accepted at Usenix Security and will be available soon). You can contact the team at blocksci@lists.cs.princeton.edu.\n\n.. _paper: https:\u002F\u002Farxiv.org\u002Fabs\u002F1709.02489\n","BlockSci是一个用于区块链科学研究和探索的高性能工具。它通过自定义的内存区块链数据库和分析库，利用C++编写的核心基础设施优化了速度，使得遍历比特币区块链上的所有交易输入输出仅需1秒。该工具还提供了Python绑定及Jupyter笔记本接口以简化数据分析过程。尽管BlockSci特别适用于需要对区块链数据进行快速而深入分析的研究场景，但请注意，截至2020年11月该项目已停止开发和支持，因此对于不断变化的加密货币生态系统来说，可能存在兼容性问题。",2,"2026-06-11 03:29:23","top_topic"]