Search Results for "runtime"
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Showing 7 open source projects for "runtime"
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Dun and Bradstreet Risk Analytics - Supplier IntelligenceRisk, procurement, and compliance teams across the globe are under pressure to deal with geopolitical and business risks. Third-party risk exposure is impacted by rapidly scaling complexity in domestic and cross-border businesses, along with complicated and diverse regulations. It is extremely important for companies to proactively manage their third-party relationships. An AI-powered solution to mitigate and monitor counterparty risks on a continuous basis, this cutting-edge platform is powered by D&B’s Data Cloud with 520M+ Global Business Records and 2B+ yearly updates for third-party risk insights. With high-risk procurement alerts and multibillion match points, D&B Risk Analytics leverages best-in-class risk data to help drive informed decisions. Perform quick and comprehensive screening, using intelligent workflows. Receive ongoing alerts of key business indicators and disruptions.
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tree-sitter
An incremental parsing system for programming tools
...Fast enough to parse on every keystroke in a text editor. Robust enough to provide useful results even in the presence of syntax errors. Dependency-free so that the runtime library (which is written in pure C) can be embedded in any application. All of Tree-sitter’s parsing functionality is exposed through C APIs. Applications written in higher-level languages can use Tree-sitter via binding libraries like node-tree-sitter or the tree-sitter rust crate, which have their own documentation. To build the library on a POSIX system, just run make in the Tree-sitter directory. ... -
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ANTLR
Parser generator to read, process, or translate structured text
ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files. It's widely used to build languages, tools, and frameworks. From a grammar, ANTLR generates a parser that can build and walk parse trees. It’s widely used in academia and industry to build all sorts of languages, tools, and frameworks. Twitter search uses ANTLR for query parsing, with over 2 billion queries a day. The languages for... -
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MLton
A whole-program optimizing compiler for Standard ML
MLton is a whole-program optimizing compiler for Standard ML. MLton generates small executables with excellent runtime performance, utilizing untagged and unboxed native integers, reals, and words, unboxed native arrays, fast arbitrary-precision arithmetic based on GnuMP, and multiple code generation and garbage collection strategies. In addition, MLton provides a feature rich Standard ML programming environment, with full support for SML97 as given in The Definition of Standard ML (Revised), a number of useful language extensions, a complete implementation of the Standard ML Basis Library, various useful libraries, a simple and fast C foreign function interface, the ML Basis system for programming with source libraries, and tools such as a lexer generator, a parser generator, and a profiler. -
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ANTLR is a well-known parser generator . It can generate parsers in several languages. This project provides the templates to produce D code and a D runtime library for running the created parser. It requires ANTLR tool. Use svn to get D target. One example is included. This target works with ANTLR 3.4
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Deliver trusted data with dbtData teams use dbt to codify business logic and make it accessible to the entire organization—for use in reporting, ML modeling, and operational workflows.
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Generate a parser at runtime from a collection of C++ objects. Concisely state a parser specification in ordinary C++ code. Learn from a parser generator with an object-oriented design.
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ParGeL is an LALR(k) parser generator, which allows creation of inheritable parsers in runtime and compile time environments. ParGeL is written 100% in Java.
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A runtime parser generator library, generates parsers for context-free grammars. Parsing scripting languages and communication protocol messages are typical use cases. The library is written in straight C++ and requires STL. Clean, correct, efficient.
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