Search Results for "processing"
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4 projects for "processing" with 2 filters applied:
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Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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GJSON
Get JSON values quickly, JSON parser for Go
...The library is optimized for speed and zero allocations, benchmarking significantly faster than Go’s standard encoding/json unmarshal approaches. It supports parsing JSON lines (newline-delimited JSON) as an array for large stream processing. GJSON also provides modifiers (such as @reverse, @flatten, @keys) which allow transformation or inspection directly via the path syntax. Because it works on raw bytes or strings, it's suited for high-performance JSON parsing without needing to define Go struct types. -
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A simple way to create a syntax highlighting editor for a custom language/grammar and/or create custom grammar parsers. This is a .NET project written in C#. See details here: http://acct001.com/wordpress/?p=190
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Annotation based lexer and parser generator suitable for processing wide range of languages, from small domain specific languages to big ones like Java. Actions may be written directly as annotated java methods. Examples of expression language and Java5.
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Chaperon is a LALR(1) parser, which parse structured text documents and generate XML documents as output. It includes a parser generator like yacc and a regex scaner like lex. As input use Chaperon a grammar written in XML.
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Create and run cloud-based virtual machines.Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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