Search Results for "code analysis"
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Showing 2 open source projects for "code analysis"
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99.99% Uptime for MySQL and PostgreSQL on Google CloudCloud SQL Enterprise Plus gives you a 99.99% availability SLA with near-zero downtime maintenance—typically under 10 seconds. Get 2x better read/write performance, intelligent data caching, and 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server with built-in vector search for gen AI apps. New customers get $300 in free credit.
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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eslint-plugin-vue
ESLint plugin for Vue.js
ESLint plugin for Vue.js. This plugin allows us to check the template and script of .vue files with ESLint, as well as Vue code in .js files. This plugin supports the basic syntax of Vue.js 3.2, script setup, and CSS variable injection, but the ref sugar, an experimental feature of Vue.js 3.2, is not yet supported. If you have issues with these, please also refer to the FAQ. If you can't find a solution, search for the issue and if the issue doesn't exist, open a new issue. Be aware that... -
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SPX
A simple & straight-to-the-point PHP profiling extension
...Very simple to use: just set an environment variable (command line) or switch on a radio button (web request) to profile your script. Thus, you are free of manually instrumenting your code (Ctrl-C a long running command line script is even supported). Using a dedicated browser extension or command line launcher. Multi metrics capable: 22 are currently supported (various time & memory metrics, included files, objects in use, I/O...). Able to collect data without losing context. For example Xhprof (and potentially its forks) aggregates data per caller / callee pairs, which implies the loss of the full call stack and forbids timeline or Flamegraph based analysis.
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