Search Results for "memory"
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Showing 4 open source projects for "memory"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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JSON-Machine
Efficient, easy-to-use, and fast PHP JSON stream parser
json-machine is an efficient and easy-to-use PHP JSON stream parser. It enables processing of large JSON files or streams without loading the entire content into memory, making it suitable for memory-constrained environments. -
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Angstrom
Parser combinators built for speed and memory efficiency
Angstrom is a parser-combinator library in OCaml designed for high-performance applications. It provides monadic and applicative interfaces for composing parsers and supports incremental input processing. -
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RapidJSON
A fast JSON parser/generator for C++ with both SAX/DOM style API
...It also optionally supports SSE2/SSE4.2 for acceleration. RapidJSON is self-contained and header-only. It does not depend on external libraries such as BOOST. It even does not depend on STL. RapidJSON is memory-friendly. Each JSON value occupies exactly 16 bytes for most 32/64-bit machines (excluding text string). By default it uses a fast memory allocator, and the parser allocates memory compactly during parsing. RapidJSON is Unicode-friendly. It supports UTF-8, UTF-16, UTF-32 (LE & BE), and their detection, validation and transcoding internally. ... -
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Parse software messages and transform them into actions. LazyBat has a command line utility which can transform input data, and also a parser generator for C/C++. LazyBat doesn't support recursive parsing, but rather focuses on common parsing jobs.
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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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