Search Results for "express engine tools"
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Showing 8 open source projects for "express engine tools"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Conductor
Conductor is an event driven agentic workflow engine for AI agents
Conductor is an open-source, durable workflow orchestration engine designed to manage distributed systems, microservices, and AI-driven applications at internet scale. Originally built at Netflix and actively maintained by Orkes and the open-source community, Conductor simplifies complex workflow management by handling retries, failures, state persistence, and long-running process execution automatically. The platform enables developers to orchestrate AI agents, APIs, human approvals, and... -
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TURF
A modular geospatial engine written in JavaScript
Turf is a JavaScript library for spatial analysis. It includes traditional spatial operations, helper functions for creating GeoJSON data, and data classification and statistics tools. Turf can be added to your website as a client-side plugin, or you can run Turf server-side with Node.js. Modular, simple-to-understand JavaScript functions that speak GeoJSON. Turf is a collection of small modules, you only need to take what you want to use. Takes advantage of the newest algorithms and doesn't... -
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Hermes JS Engine
A JavaScript engine optimized for running React Native
Hermes-powered apps launch faster, thanks to build-time precompilation of JavaScript into efficient bytecode. Hermes is small in APK size, lean on memory, and starts instantly. It won't weigh your app down. It's simple to get started with Hermes in React Native apps. Hermes is open source and implements JavaScript standards. You will now be in a directory with the output of building Hermes into CLI tools. From here you can run a piece of JavaScript. If you have an existing app based on an... -
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Specification for GraphQL
A working draft of the Specification for GraphQL, a query language
This is the specification for GraphQL, a query language and execution engine originally created at Facebook in 2012 for describing the capabilities and requirements of data models for client-server applications. The development of this open standard started in 2015. This specification was licensed under OWFa 1.0 in 2017. Copyright and trademark was transferred to the GraphQL Foundation in 2019. GraphQL has evolved and may continue to evolve in future editions of this specification. GraphQL... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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AmberDB - NoSQL database engine in Perl
High-performance, NoSQL engine with transactions for Perl
AmberDB is a high-performance, flat-file NoSQL database engine for Perl built on top of Berkeley DB (DB_File). It combines the speed of flat-file storage with enterprise features: schema-driven multi-dimensional indexing, ACID-compliant transactions with Strict Two-Phase Locking (Strict 2PL), columnar faceted navigation, multilingual locale processing, and native RAM-disk caching. -
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The Lemur Project
Search engine and data mining applications and ClueWeb datasets.
The Lemur Project develops search engines, browser toolbars, text analysis tools, and data resources that support research and development of information retrieval and text mining software, including the Indri search engine in C++, the Galago search engine research framework in Java, the RankLib learning to rank library, ClueWeb09 and ClueWeb12 datasets and the Sifaka data mining application. -
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Intelligent e-knowledge base engine for any kind of knowledge-based applications, supporting effective knowledge presentation, precise knowledge search, adaptive learning and immediate consulting.
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TM4J is a topic map engine implemented entirely in Java. Topic maps are a standard paradigm for the interchange of knowledge structures. This project aims to produce a complete suite of tools for creating, processing and publishing topic map information.
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