Showing 11 open source projects for "google-visualization-python"

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  • 1
    Argh

    Argh

    Rust derive-based argument parsing optimized for code size

    argh is a tiny, pragmatic command-line argument parsing library that favors simple, readable code over elaborate configuration. It’s designed for the case where you just want to declare a few flags, accept some positional arguments, and print helpful usage text without wiring up a heavy framework. The API is intentionally compact so you can parse arguments inline near main() and map them straight into native types. It supports short and long options, boolean switches, and key–value flags...
    Downloads: 0 This Week
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  • 2
    Chatette

    Chatette

    A powerful dataset generator for Rasa NLU, inspired by Chatito

    Chatette is a Python-based tool for generating training datasets for Natural Language Understanding (NLU) models, particularly those used with Rasa NLU. It employs a domain-specific language to define templates, enabling the creation of diverse and extensive training examples for intent classification and entity recognition.​
    Downloads: 0 This Week
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  • 3
    Nearley

    Nearley

    Simple, fast, powerful parser toolkit for JavaScript

    Nearley is a powerful and flexible parser generator for JavaScript, capable of parsing complex grammars and languages, making it suitable for building compilers, interpreters, and data processors.
    Downloads: 0 This Week
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  • 4
    UniCC LALR(1) Parser Generator

    UniCC LALR(1) Parser Generator

    Parser generator, targetting C, C++, Python, JavaScript, JSON and XML

    ...Because UniCC is intended to be target-language independent, it can be configured via template definition files to emit parsers in almost any programming language. UniCC comes with out of the box support for the programming languages C, C++, Python (both 2.x and 3.x) and JavaScript. Parsers can also be generated into JSON and XML.
    Downloads: 1 This Week
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  • 5
    Marid

    Marid

    Free data acquisition and data visualization cross-platform software

    Marid is a cross-platform data acquisition and visualization software intended to build complex and hierarchical data acquisition systems. The base concepts of its architecture include: * Graphical deploy configuration builders * Powerful Groovy scripting language * Embedded database ( H2 , HSQLDB) to store data * Cross-platform design (write once, run anywhere) * Embedded GUI-configurable binary/ascii device protocol parser/generator * Deploy manager to deploy firmwares to remote controllers/servers via secure channel * Embedded web-sever * Dynamically linked plugins available from Nexus Repository * Remote monitoring tools * Modular Marid IDE to manage them all
    Downloads: 1 This Week
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  • 6
    UA-Parser

    UA-Parser

    A multi-language port of Browserscope's user agent parser

    ua-parser is a multi-language library for parsing User-Agent strings into structured data, such as browser, OS, and device information. Originally created for web analytics and user tracking, it supports a wide range of platforms and is available in JavaScript, Python, Java, and other languages. ua-parser is often used in server logs, analytics dashboards, and A/B testing systems to segment traffic.
    Downloads: 0 This Week
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  • 7
    JCompiler

    JCompiler

    Mini Python Compiler written in Java

    Open source mini Python compiler written in Java using Sablecc as parser generator.
    Downloads: 2 This Week
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  • 8
    Waxeye is a parser generator based on parsing expression grammars (PEGs). It supports C, Java, Javascript, Python, Ruby and Scheme.
    Downloads: 0 This Week
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  • 9
    Python EBNF parser generator for use with mx.TextTools
    Downloads: 0 This Week
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  • 10
    Berkeley Yacc is an LALR(1) parser generator. Berkeley Yacc has been made as compatible as possible with AT&T Yacc. Berkeley Yacc has been extended to generate Python, Perl and Java code.
    Downloads: 0 This Week
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  • 11
    Elcc is an Earley parser generator written in Python and compatible with Yacc/Bison Syntax.
    Downloads: 1 This Week
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