head to head · open source

giskard-oss vs bla

giskard-oss has 5,940 GitHub stars, 560 forks, 64 open issues and last shipped yesterday. bla has 1,975 stars, 268 forks, 0 open issues and last shipped yesterday. giskard-oss leads on adoption by 201% (5,940 vs 1,975 stars). giskard-oss is written in Python under Apache-2.0; bla is written in JavaScript under MIT. giskard-oss has attracted 9% as many forks as stars, bla 14%. bla was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm-security), 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 bla ★ 2.0K category AI & Machine Learning

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Side by side

giskard-oss bla
GitHub stars ★ 5.9K ★ 2.0K
License Apache-2.0 MIT
Written in Python JavaScript
Last push 2026-11-02 2026-11-02
Forks ⑂ 560 ⑂ 268
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 bla if

  • You want the bla feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches JavaScript
  • You evaluated both and bla fits your workflow better

full bla 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 Giskard v2 remains available but is no longer actively maintained.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 bla

English · 简体中文 · 繁體中文 · 日本語 · 한국어 · Türkçe · Русский · Tiếng Việt · ไทย · Deutsch · Español · Français · Українська · Polski · Português (Brasil) · العربية · فارسی · Bahasa Indonesia · Italiano · Ελληνικά · മലയാളം · Roman Urdu · Română BLA: Blind LLM Agents Make reverse engineering bankrupt again. Point BLA at the build you ship. When an AI reverse engineering agent (REA) opens it, the analyzer hits resource budgets, follows decoys, and burns tokens — while your users still get the same runtime behavior. Website · Guides · Showcases · Disclaimer Quick start · Empirical results · Format coverage · Benchmark · FAQ…

read the full bla overview →

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Frequently asked questions

Is giskard-oss or bla more popular?

giskard-oss has 5,940 GitHub stars and bla has 1,975. giskard-oss has the larger community by that measure.

Are giskard-oss and bla free?

Both are open source. giskard-oss is licensed under Apache-2.0 and bla under MIT. Neither carries a licence fee.

What is the difference between giskard-oss and bla?

giskard-oss is written in Python and bla in JavaScript. 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 bla?

Choose giskard-oss if you want the larger community (5,940 stars) or its Apache-2.0 licence terms. Choose bla if its feature set, stack or MIT licence fits better. Both are self-hostable.