head to head · open source
giskard-oss vs stride-gpt
giskard-oss has 5,946 GitHub stars, 561 forks, 64 open issues and last shipped 3 days ago. stride-gpt has 1,149 stars, 337 forks, 12 open issues and last shipped yesterday. giskard-oss leads on adoption by 417% (5,946 vs 1,149 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%. stride-gpt 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 | ★ 5.9K | ★ 1.1K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-04 |
| Forks | ⑂ 561 | ⑂ 337 |
| 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
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
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 Giskard v2 remains available but is no longer actively maintained.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 stride-gpt
STRIDE GPT is an AI powered threat modelling tool that leverages Large Language Models (LLMs) to generate threat models and attack trees for a given application based on the STRIDE methodology. Users provide application details, such as the application type, authentication methods, and whether the application is internet facing or processes sensitive data. The model then generates its output based on the provided information. Table of Contents Support the Project Features Enterprise Deployment Talk at Open Security Summit Changelog Installation Repository layout Usage Interactive REPL cheat sheet Sample output…
read the full stride-gpt overview →
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Frequently asked questions
Is giskard-oss or stride-gpt more popular?
giskard-oss has 5,946 GitHub stars and stride-gpt has 1,149. 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 (5,946 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.