Search Results for "javascript search engine"
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Showing 4 open source projects for "javascript search engine"
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The full-stack observability platform that protects your dataLayer, tags and conversion dataCode-Cube.io detects issues instantly, alerts you in real time and helps you resolve them fast. No manual QA. No unreliable data. Just data you can trust and act on.
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Data management solutions for confident marketingVerify, deduplicate, manipulate, and assign records automatically to keep your CRM data accurate, complete, and ready for business.
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Piston
A high performance general purpose code execution engine
A high-performance API service for running arbitrary code in various programming languages, designed for online compilers and execution environments. -
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Apache Allura
Forge software for hosting software projects
Apache Allura's website and resources are all at https://allura.apache.org/ Allura was originally developed here, which is why this project exists. -
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goorm
Cloud-based Integrated Development Enviroment
We prepare to re-release npm install goorm goorm is the cloud-based Integrated Development Environment. It is developed in only javascript and using various open source libraries. It is also an open-source project. goorm supports currently C/C++ and Java as well as HTML, CSS, PHP and Javascript. Other languages will be supported with plugin. (future works). - goorm is developing now and this repository provides only alpha version. - please, feedback to us about bugs and feature... -
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WebSHi (Web Syntax Highlighter) is just another code syntax highlighting engine. Though it's written in JavaScript, WebSHi is very fast and scalable, can process 30,000+ lines of code in seconds even on slower browsers like IE6.
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SoftCo: Enterprise Invoice and P2P Automation SoftwareSoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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