Opportunity dossier O-0073

Recurring need documented in 1 independent public source item.

Original-language research note

MySQL访问行为审计工具
开源数据库审计方案，记录用户操作行为与时间戳，满足合规与安全需求

First seen 2026-06-04 · Last updated 2026-07-15 · Recalculated daily

2.1

Evidence confidence, not a return forecast

Independent source items, deduplicated by post

Public source families

Payment evidence: current spend or explicit intent

ProblemThe source-linked evidence below documents the recurring problem.

People affectedPeople represented in the linked public discussions.

Named alternativesNo existing alternative is named in the qualifying evidence yet.

Weekly mentions · 12 weeks▼ Fading

04-2705-2506-2207-13

Trend factor ×0.5, capped at 2.0.

Representative evidence

1 public excerpts · 1 items in the full chain

Need★★★☆☆Feature request

有没有什么FOSS代码，最好是PHP的，但Python也可以接受，NodeJs勉强能用，不过我不太喜欢NodeJs，可以用来审计MySQL数据库访问，并记录用户名、时间以及做了什么操作——比如添加/修改/删除数据，也许还有读取操作？ Chinese research excerpt

Use the source link for the original-language context.

SoftwareRecs SE2026-06-04View source ↗

Follow the full evidence chain

Traceable items · inspectable scoring · warming and payment alerts

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Scoring summary

Evidence confidence = strength × evidence volume × source diversity × payment × competition × trend × 10. Counts use independent content items; only first-hand pain, current spend, explicit willingness to pay and concrete feature requests affect the score. Repeated posts by one author are discounted. Scoring and status changes follow deterministic rules.

“Evidence-backed” means the problem appears real, recurring and connected to spending. It does not mean the business is worth building. Read the full methodology.