head to head · open source

giskard-oss vs ARTEX

giskard-oss has 5,913 GitHub stars, 553 forks, 64 open issues and last shipped 2 days ago. ARTEX has 1,485 stars, 712 forks, 1 open issues and last shipped 3 days ago. giskard-oss leads on adoption by 298% (5,913 vs 1,485 stars). giskard-oss is written in Python under Apache-2.0; ARTEX is written in Go under AGPL-3.0. giskard-oss has attracted 9% as many forks as stars, ARTEX 48%. giskard-oss was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-security, llm), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

giskard-oss ★ 5.9K ARTEX ★ 1.5K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

giskard-oss ARTEX
GitHub stars ★ 5.9K ★ 1.5K
License Apache-2.0 AGPL-3.0
Written in Python Go
Last push 2026-10-20 2026-10-19
Forks ⑂ 553 ⑂ 712
Self-hosting Yes Yes
Data ownership Your server Your server

pick giskard-oss if

  • You weight community size — 5.9K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full giskard-oss profile →

pick ARTEX if

  • You want the ARTEX feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • Your stack matches Go
  • You evaluated both and ARTEX fits your workflow better

full ARTEX profile →

About giskard-oss

Evals, Red Teaming and Test Generation for Agentic Systems Modular, Lightweight, Dynamic and Async first Docs • Website • Community [!IMPORTANT] Giskard v3 is a fresh rewrite designed for dynamic, multi turn testing of AI agents. This release drops heavy dependencies for better efficiency while introducing a more powerful AI vulnerability scanner and enhanced RAG evaluation — both now shipping natively in giskard scan , with no dependency on v2. Only the legacy scan for tabular/ML models remains v2 only. Giskard v2 remains available but is no longer actively maintained. Follow progress → Read the v3…

read the full giskard-oss overview →

About ARTEX

ARTEX AI autonomous penetration testing system. Multi agent LLM, Go backend, Next.js frontend. AI 自主渗透测试系统(Go 后端 + Next.js 前端)。 ARTEX is a multi agent system for autonomous penetration testing in an isolated lab: a planner and workers share an asset graph and an exploration graph, with human in the loop approval and full traffic recording. It ships as one binary or a Docker Compose stack. 截图预览 审批记录详情 全局「审批记录」、任务内「拦截审批」及对话中的审批卡片均支持展开查看详情。展示结构参考 AegisHook 的审批详情组件,沿用 ARTEX 的组件和主题: 资产同步(ScopeSentry) 支持从 ScopeSentry 直接同步资产数据,免去重复收集: 在「 资产同步 」页填 ScopeSentry 的地址与 API Key,接入数据源; 按 项目 或 任务 维度选择要同步的目标与资产类型(域名 / 子域 / IP /…

read the full ARTEX overview →

More in AI & Machine Learning

Related comparisons

More AI Security & Privacy projects

Compare either of these against the rest of the AI Security & Privacy field.

Frequently asked questions

Is giskard-oss or ARTEX more popular?

giskard-oss has 5,913 GitHub stars and ARTEX has 1,485. giskard-oss has the larger community by that measure.

Are giskard-oss and ARTEX free?

Both are open source. giskard-oss is licensed under Apache-2.0 and ARTEX under AGPL-3.0. Neither carries a licence fee.

What is the difference between giskard-oss and ARTEX?

giskard-oss is written in Python and ARTEX in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, giskard-oss or ARTEX?

Choose giskard-oss if you want the larger community (5,913 stars) or its Apache-2.0 licence terms. Choose ARTEX if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.