Showing 1293 open source projects for "parsing"

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  • 1
    Beats

    Beats

    Lightweight data shippers of the Elastic Stack

    Beats is a platform of lightweight, single-use data shippers written in Go. It captures all sorts of operational data from hundreds or thousands of machines and systems and sends them to Logstash or Elasticsearch. Beats is lightweight in that it has a small installation footprint, uses limited system resources and has no runtime dependencies. It consists of: Auditbeat (for audit data), Filebeat (for log files), Functionbeat (serverless shipper), Heartbeat (for uptime monitoring),...
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  • 2
    BISHENG

    BISHENG

    BISHENG is an open LLM devops platform for next generation apps

    BISHENG is an open LLM application DevOps platform, focusing on enterprise scenarios. It has been used by a large number of industry-leading organizations and Fortune 500 companies. "Bi Sheng" was the inventor of movable type printing, which played a vital role in promoting the transmission of human knowledge. We hope that BISHENG can also provide strong support for the widespread implementation of intelligent applications. Everyone is welcome to participate.
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  • 3
    Spark NLP

    Spark NLP

    State of the Art Natural Language Processing

    Experience the power of large language models like never before, unleashing the full potential of Natural Language Processing (NLP) with Spark NLP, the open source library that delivers scalable LLMs. The full code base is open under the Apache 2.0 license, including pre-trained models and pipelines. The only NLP library built natively on Apache Spark. The most widely used NLP library in the enterprise. Spark ML provides a set of machine learning applications that can be built using two main...
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  • 4
    remark-math

    remark-math

    remark and rehype plugins to support math

    This project is a monorepo that contains several packages for dealing with math in markdown and HTML. This repository contains unified (rehype and remark) plugins to add support for math. You can use them to add support for parsing and serializing a syntax extension and to render math with KaTeX or MathJax. This project is useful when you want to support LaTeX math. This mechanism works well when you want authors, who have some LaTeX experience, to be able to embed rich diagrams of math...
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  • 5
    py2many

    py2many

    Transpiler of Python to many other languages

    Python is popular, and easy to program in, but it has poor runtime performance. We can fix that by transpiring a subset of the language into a more performant, statically typed language. A second benefit is security. Writing security-sensitive code in a low-level language like C is error-prone and could lead to privilege escalation. Specialized languages such as wuffs exist to address this use case. py2many can be a more general-purpose solution to the problem where you can verify the source...
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  • 6
    Emerge

    Emerge

    Browser-based interactive codebase and dependency visualization tool

    Emerge (or emerge-viz) is an interactive code analysis tool to gather insights about source code structure, metrics, dependencies, and complexity of software projects. You can scan the source code of a project, calculate metric results and statistics, generate an interactive web app with graph structures (e.g. a dependency graph or a filesystem graph), and export the results in some file formats. Emerge currently has parsing support for the following languages: C, C++, Groovy, Java, JavaScript...
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  • 7
    ZIO JSON

    ZIO JSON

    Fast, secure JSON library with tight ZIO integration

    ... that avoids costly stack traces, even when parsing malformed numbers. Malicious (and badly formed) payloads are rejected before finishing reading.
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  • 8
    Jawn

    Jawn

    Jawn is for parsing jay-sawn (JSON)

    The term "jawn" comes from the Philadelphia area. It conveys about as much information as "thing" does. I chose the name because I had moved to Montreal so I remembered Philly fondly. Also, there isn't a better way to describe objects encoded in JSON than "things". Finally, we get a catchy slogan. Jawn was designed to parse JSON into an AST as quickly as possible. Currently, Jawn is competitive with the fastest Java JSON libraries (GSON and Jackson) and in the author's benchmarks, it often...
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  • 9
    Murex

    Murex

    A smarter shell and scripting environment with advanced features

    Murex is a shell, like bash / zsh / fish / etc however Murex supports improved features and an enhanced UX. Support for additional type information in pipelines, which can be used for complex data formats like JSON or tables. Meaning all of your existing UNIX tools to work more intelligently and without any additional configuration. Usability improvements such as in-line spell checking, context-sensitive hint text that details the behavior of a command before you hit return, and auto-parsing...
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  • 10
    staq

    staq

    Full-stack quantum processing toolkit

    staq is a modern C++ library for the synthesis, transformation, optimization and compilation of quantum circuits. staq is written in standard C++17 and has very low external dependencies. It is usable either through the provided binary tools, or as a header-only library that can be included to provide direct support for parsing & manipulating circuits written in the OpenQASM circuit description language. Inspired by Clang, staq is designed to manipulate OpenQASM syntax trees directly, rather...
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  • 11
    WordPress to Jekyll Exporter

    WordPress to Jekyll Exporter

    One-click WordPress plugin that converts all posts, pages, taxonomies

    One-click WordPress plugin that converts all posts, pages, taxonomies, metadata, and settings to Markdown and YAML which can be dropped into Jekyll (or Hugo or any other Markdown and YAML based site engine). Converts all posts, pages, and settings from WordPress to Markdown and YAML for use in Jekyll (or Hugo or any other Markdown and YAML based site engine) Export what your users see, not what the database stores (runs post content through the_content filter prior to export, allowing...
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  • 12
    go-mitmproxy

    go-mitmproxy

    mitmproxy implemented with golang

    go-mitmproxy is a Golang implementation of mitmproxy that supports man-in-the-middle attacks and parsing, monitoring, and tampering with HTTP/HTTPS traffic. Parses HTTP/HTTPS traffic and displays traffic details via a web interface. Supports a plugin mechanism for easily extending functionality. Various event hooks can be found in the examples directory. HTTPS certificate handling is compatible with mitmproxy and stored in the ~/.mitmproxy folder. If the root certificate is already trusted from...
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  • 13
    Requests for PHP

    Requests for PHP

    Requests for PHP is a humble HTTP request library

    ... to build most of the HTTP response parsing yourself. Requests allows you to send HEAD, GET, POST, PUT, DELETE, and PATCH HTTP requests. You can add headers, form data, multipart files, and parameters with basic arrays, and access the response data in the same way. Requests uses cURL and fsockopen, depending on what your system has available, but abstracts all the nasty stuff out of your way, providing a consistent API.
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  • 14
    FSharp.Data

    FSharp.Data

    F# Data: Library for Data Access

    The FSharp.Data package implements core functionality to access common data formats in your F# applications and scripts. It contains F# type providers for working with structured file formats (CSV, HTML, JSON and XML) and helpers for parsing CSV, HTML and JSON files and for sending HTTP requests. This library focuses on providing simple access to structured documents and other data sources. The FSharp.Data type providers for CSV, HTML, JSON and XML infer types from the structure of a sample...
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  • 15
    Zeep

    Zeep

    A Python SOAP client

    ... interface to a SOAP server. Parsing the XML documents is done by using the lxml library. This is the most performant and compliant Python XML library currently available. This results in major speed benefits when processing large SOAP responses. The SOAP specifications are unfortunately really vague and leave a lot of things open for interpretation.
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  • 16
    AngleSharp

    AngleSharp

    The ultimate angle brackets parser library parsing HTML5, MathML, SVG

    AngleSharp follows the W3C specifications and gives you the same results as state of the art browsers. Besides the official API AngleSharp adds some useful extension methods on top. This makes working with the DOM convenient. AngleSharp integrates everything you need to explore and mutate the DOM tree. Node retrieval is straight forward by using powerful CSS query selectors. The CSS queries in AngleSharp are super fast and very simple to use. AngleSharp respects the relationship of HTML with...
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  • 17
    Ayakashi

    Ayakashi

    The next generation web scraping framework

    The next-generation web scraping framework. The web has changed. Gone are the days when raw HTML parsing scripts were the proper tool for the job. Javascript and single-page applications are now the norms. Demand for data scraping and automation is higher than ever, from business needs to data science and machine learning. Our tools need to evolve. Ayakashi helps you build scraping and automation systems that are easy to build simple or sophisticated, highly performant, maintainable, and built...
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  • 18
    Ormolu

    Ormolu

    A formatter for Haskell source code

    Ormolu is a formatter for Haskell source code. Using GHC's own parser to avoid parsing problems caused by haskell-src-exts. Let some whitespace be programmable. The layout of the input influences the layout choices in the output. This means that the choices between single-line/multi-line layouts in certain situations are made by the user, not by an algorithm. This makes the implementation simpler and leaves some control to the user while still guaranteeing that the formatted code...
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  • 19
    optparse-applicative

    optparse-applicative

    Applicative option parser

    optparse-applicative is a haskell library for parsing options on the command line, and providing a powerful applicative interface for composing them. optparse-applicative takes care of reading and validating the arguments passed to the command line, handling and reporting errors, generating a usage line, a comprehensive help screen, and enabling context-sensitive bash, zsh, and fish completions. A value of type Parser a represents a specification for a set of options, which will yield a value...
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  • 20
    Node.js Client For NLP Cloud

    Node.js Client For NLP Cloud

    NLP Cloud serves high performance pre-trained or custom models

    ..., machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, and served through a REST API. You can either use the NLP Cloud pre-trained models, fine-tune your own models, or deploy your own models.
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  • 21
    Python Client For NLP Cloud

    Python Client For NLP Cloud

    NLP Cloud serves high performance pre-trained or custom models for NER

    ... similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API. You can either use the NLP Cloud pre-trained models, fine-tune your own models, or deploy your own models.
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  • 22
    GraphQL Scalars

    GraphQL Scalars

    A library of custom GraphQL Scalars for creating precise schemas

    GraphQL is a wonderful new approach to application data and API layers that's gaining momentum. However, for all of GraphQL's greatness, it is missing a couple of things that we have (and you might) find very useful in defining your schemas. Namely GraphQL has a limited set of scalar types, and we have found there are some additional scalar types that are useful in being more precise in our schemas. Thankfully, those sharp GraphQL folks provided a simple way to add new custom scalar types if...
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  • 23
    Apollo iOS

    Apollo iOS

    A strongly-typed, caching GraphQL client for iOS, written in Swift

    It allows you to execute queries and mutations against a GraphQL server, and returns results as query-specific Swift types. This means you don’t have to deal with parsing JSON, or passing around dictionaries and making clients cast values to the right type manually. You also don't have to write model types yourself, because these are generated from the GraphQL definitions your UI uses. As the generated types are query-specific, you're only able to access data you actually specify as part...
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  • 24
    Goyave

    Goyave

    Elegant Golang REST API Framework (v5 WIP)

    ..., a robust structure and conventions. Minimalist calls and reduced redundancy are among Goyave's core principles. Develop faster and concentrate on the business logic of your application thanks to the many helpers and built-in functions. Goyave is accessible, yet powerful. The framework includes routing, request parsing, validation, localization, testing, authentication, error handling and more!
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  • 25
    Finatra

    Finatra

    Fast, testable, Scala services built on TwitterServer and Finagle

    Finatra builds on TwitterServer and uses Finagle, therefore it is highly recommended that you familiarize yourself with those frameworks before getting started. The version of Finatra documented here is version 2.x. Version 2.x is a complete rewrite over v1.x and as such many things are different. Finatra at its core is agnostic to the type of service or application being created. It can be used to build anything based on TwitterUtil: c.t.app.App. For servers, Finatra builds on top of the...
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