Realistic Workplace Simulations that Show Applicant Skills in Action
Skillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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For account executives and sales engineers looking for a solution to manage their insights and sales data
Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
CB2XML (CopyBook to XML) is a COBOL CopyBook to XML converter written in Java and based on the SableCC parser generator. This project includes utilities to convert an XML instance file into its COBOL copybook equivalent string buffer and vice versa.
Source is now available in GitHub: https://github.com/bmTas/cb2xml
SableCC is a parser generator which generates object-oriented frameworks for building compilers, interpreters and other text parsers. SableCC keeps a clean separation between machine and user code which leads to a shorter development cycle.
This project has moved to GitHub ! The version here at SourceForge will remain for historic purpose.
Koopa is a parser generator, made for COBOL. It can handle source files in isolation (no preprocessing required) and doesn't mind the presence of CICS/SQL fragments. The grammar is easily extensible in a way which minimizes the impact on the overall code.
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Genparse is a command line parser generator. Based on a simple description of the command line options you want in your program, genparse creates the necessary C, C++ or Javacode for their processing.
Coco/S is a compiler generator that takes plain EBNF grammar files and features a SAX style call back API. It is written in Java and produces a Java Scanner (Lexer) and Parser for the language described by the input grammar.
Coco/S is a branch of the 2010/11 release of Coco/R for Java.
While Coco/R takes an attributed grammar file, Coco/S has a callback API. This has the advantage of a clean separation between grammar (EBNF) and Compiler/Interpreter.
Lapg is the combined lexical analyzer and parser generator, which converts a description for a context-free LALR grammar into source file to parse the grammar. Generates code for Java, Javascript, C, C++ and C#.
Rezku is an all-inclusive ordering platform and management solution for all types of restaurant and bar concepts. You can now get a fully custom branded downloadable smartphone ordering app for your restaurant exclusively from Rezku.
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.
More Than Parsing is a parser generator for context free grammars defined in a BNF-like format. It generates scanners, parsers, ASTs, etc. This sf project is no longer active, development will continue in a different place.
Covra is a project to help design compilers. C3 is a tool specialized on the easy design and construction of ASTs, it is independent of the compiler compilers or parser generator that is used. It generates Java and C# code. Require JRE 1.6.0.
BNF for Java is a BNF Compiler-Compiler, or Parser-Generator. It implements ISO Standard Backus-Naur Format, using Java. BNF allows you to create a syntax, or a complete language, to parse your data source. Your custom Java extensions generate output.
Wisent is an LALR(1) parser generator with pluggable front- and backends. It generates object-oriented code with clean namespace separation. A yacc-like frontend is currently accompanied by a C++ and a Java backend. The tool itself is implemented in C++.
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 Javacode.
Blade Language Developer (or Project Blade for short) is a toolkit for creating domain specific or general programming languages. The toolkit offers a language for describing grammars, and templatable parser generator.