根据功能和用途,为你挑选 12 款 Kritisi 的替代工具。
| 排名 | 工具和标语 | 官方域名 | 月访问量 | 月度增长 (MoM) | 定价模式 | 主要市场 | 评分 | 比较 |
|---|---|---|---|---|---|---|---|---|
| ● |
| kritisi.xyz |
| 0 |
| 0 (0%) |
| 免费 |
| 全球 |
| — |
| 概览 |
| 1 | CodeHound | cybersanctus.com | 116 | 48 (+70.6%) | 免费增值 | 全球 | 3.8 | 比较 |
| 2 | Aikido Security | aikido.dev | 75.75万 | 6.63万 (+9.6%) | 免费增值 | 美国 | 4.4 | 比较 |
| 3 | ChainGPT | chaingpt.org | 7.12万 | -3.3万 (-31.7%) | 免费增值 | 波兰 | 3.8 | 比较 |
| 4 | CodeThreat | codethreat.com | 674 | -1610 (-70.5%) | 免费增值,定价请咨询 | 巴西 | 4.4 | 比较 |
| 5 | CodeReviewBot.AI | codereviewbot.ai | 2515 | 1239 (+97.1%) | 免费增值,免费试用,付费,定价请咨询 | 俄罗斯 | 4.1 | 比较 |
| 6 | Pervaziv AI | pervaziv.com | 1.28万 | 9834 (+332.1%) | 免费试用,付费 | 美国 | 4.1 | 比较 |
| 7 | Nora | mynora.ai | 908 | 908 (0%) | 免费增值 | 美国 | 4.2 | 比较 |
| 8 | Metabob | metabob.com | 1112 | 1048 (+1,637.5%) | 免费增值,定价请咨询 | 美国 | 4.2 | 比较 |
| 9 | Pixee | pixee.ai | 3769 | -2246 (-37.3%) | 付费,定价请咨询 | 美国 | 4.2 | 比较 |
| 10 | AquilaX | aquilax.ai | 1.82万 | -1034 (-5.4%) | 免费增值 | 美国 | 4.2 | 比较 |
| 11 | Hacktron | hacktron.ai | 12.55万 | -8.7万 (-40.9%) | 免费增值,付费,定价请咨询 | 印度 | 4.4 | 比较 |
| 12 | Qwiet AI | qwiet.ai | 205 | -1351 (-86.8%) | 定价请咨询 | 美国 | 4.3 | 比较 |
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Pervaziv AI is an AI-powered software security platform whose Cortex suite brings AI code review, DevSecOps and multi-cloud application security into developer tools, browsers, mobile and the CLI.
Pervaziv AI is an AI-powered software security platform whose Cortex suite brings AI code review, DevSecOps and multi-cloud application security into developer tools, browsers, mobile and the CLI.
Nora is a deep-reasoning AI coding agent with roots in Web3 development. Unlike autocomplete-style copilots, it is built to reason about a codebase at a deeper level — understanding how contracts, compilers and virtual machines actually behave — so it can review, debug and write smart-contract code with fewer blind spots.
Nora is a deep-reasoning AI coding agent with roots in Web3 development. Unlike autocomplete-style copilots, it is built to reason about a codebase at a deeper level — understanding how contracts, compilers and virtual machines actually behave — so it can review, debug and write smart-contract code with fewer blind spots.