head to head · open source
giskard-oss vs stride-gpt
giskard-oss has 5,830 GitHub stars, 537 forks, 64 open issues and last shipped 2 days ago. stride-gpt has 1,125 stars, 326 forks, 12 open issues and last shipped 5 days ago. giskard-oss leads on adoption by 418% (5,830 vs 1,125 stars). giskard-oss is written in Python under Apache-2.0; stride-gpt is written in Python under MIT. giskard-oss has attracted 9% as many forks as stars, stride-gpt 29%. 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.
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Side by side
| giskard-oss | stride-gpt | |
|---|---|---|
| GitHub stars | ★ 5.8K | ★ 1.1K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-09-18 | 2026-09-15 |
| Forks | ⑂ 537 | ⑂ 326 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick giskard-oss if
- You weight community size — 5.8K 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
pick stride-gpt if
- You want the stride-gpt feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and stride-gpt fits your workflow better
About giskard-oss
Giskard OSS is an open source Python library for evaluating, red teaming and testing LLM agents and RAG pipelines, built for developers, ML engineers and AI security teams that need reproducible checks on non deterministic systems.
read the full giskard-oss overview →
About stride-gpt
STRIDE GPT is an MIT licensed Python threat modeling tool that uses large language models — OpenAI GPT, Anthropic Claude, Google Gemini and Mistral — to generate STRIDE threat models, attack trees, mitigations and Gherkin test cases from a description of an application, aimed at security engineers, AppSec teams and developers who need a structured threat model during design review rather than weeks after a manual workshop.
read the full stride-gpt overview →
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Frequently asked questions
Is giskard-oss or stride-gpt more popular?
giskard-oss has 5,830 GitHub stars and stride-gpt has 1,125. giskard-oss has the larger community by that measure.
Are giskard-oss and stride-gpt free?
Both are open source. giskard-oss is licensed under Apache-2.0 and stride-gpt under MIT. Neither carries a licence fee.
What is the difference between giskard-oss and stride-gpt?
giskard-oss is written in Python and stride-gpt in Python. 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 stride-gpt?
Choose giskard-oss if you want the larger community (5,830 stars) or its Apache-2.0 licence terms. Choose stride-gpt if its feature set, stack or MIT licence fits better. Both are self-hostable.