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Awesome GitHub RepositoriesRegex-Based Output Filters

Real-time filtering and highlighting of command output lines using configurable regular expression patterns.

Distinct from Output Filtering: Distinct from Output Filtering: uses regex patterns for real-time highlighting and extraction rather than conditional field exclusion in serialization.

Explore 3 awesome GitHub repositories matching data & databases · Regex-Based Output Filters. Refine with filters or upvote what's useful.

Awesome Regex-Based Output Filters GitHub Repositories

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  • sveinbjornt/slothsveinbjornt 的头像

    sveinbjornt/Sloth

    8,914在 GitHub 上查看↗

    Mac app that shows all open files, directories, sockets, pipes and devices in use by all running processes. Nice GUI for lsof.

    Applies user-defined regular expressions or name/type filters to the parsed lsof output, updating the displayed list in real time.

    Objective-Cdirectoriesdomain-socketsfilter
    在 GitHub 上查看↗8,914
  • autorecon/autoreconAutoRecon 的头像

    AutoRecon/AutoRecon

    5,905在 GitHub 上查看↗

    AutoRecon is an automated network reconnaissance tool that performs concurrent port scanning and service enumeration across multiple targets. It operates as a multi-target port scanner, probing IP addresses, CIDR ranges, or hostnames in parallel, and automatically dispatches service-specific enumeration tools after port detection to gather detailed information about each open service. The tool distinguishes itself through a plugin-based scanning system that allows extending or replacing default port and service scans via a flexible plugin architecture. It provides real-time pattern-based outp

    Filters and highlights scan command output in real time using configurable regex patterns.

    Python
    在 GitHub 上查看↗5,905
  • noamgat/lm-format-enforcernoamgat 的头像

    noamgat/lm-format-enforcer

    2,022在 GitHub 上查看↗

    该库提供了一个在令牌生成过程中对语言模型输出强制执行结构约束的框架。它作为中间件运行,限制模型响应严格遵守预定义的 JSON 模式或正则表达式,确保生成的文本是机器可读的,并与下游数据消费保持一致。 该项目通过直接与推理引擎集成,在最终采样阶段之前拦截令牌概率分布而脱颖而出。通过利用状态机解析和递归模式分解,它执行前瞻验证以剪除无效的令牌序列。这种方法允许对输出进行精确控制,包括强制执行 JSON 对象内的特定字段顺序,以及通过批处理约束执行来处理多个并发生成流的能力。 该库支持广泛的集成策略,允许其跨不同的模型后端和推理服务器环境运行。它包含用于分析这些约束对性能影响的诊断工具,确保在不同硬件设置下的兼容性和效率。该软件作为 Python 包分发,旨在集成到现有的推理流水线中。

    Limits language model output to match precise regular expression patterns for predictable data consumption.

    Python
    在 GitHub 上查看↗2,022
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