head to head · open source
giskard-oss vs toolhive
giskard-oss has 5,830 GitHub stars, 537 forks, 64 open issues and last shipped 2 days ago. toolhive has 2,193 stars, 300 forks, 369 open issues and last shipped yesterday. giskard-oss leads on adoption by 166% (5,830 vs 2,193 stars). giskard-oss is written in Python under Apache-2.0; toolhive is written in Go under Apache-2.0. giskard-oss has attracted 9% as many forks as stars, toolhive 14%. toolhive was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-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.
← all 20902 open source comparisons
Side by side
| giskard-oss | toolhive | |
|---|---|---|
| GitHub stars | ★ 5.8K | ★ 2.2K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Go |
| Last push | 2026-09-18 | 2026-09-19 |
| Forks | ⑂ 537 | ⑂ 300 |
| 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 toolhive if
- You want the toolhive feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Go
- You evaluated both and toolhive 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 toolhive
ToolHive is an open source, Apache 2.0 licensed platform written in Go for running and managing Model Context Protocol (MCP) servers. It lives in the AI and machine learning ecosystem, specifically MCP tooling and AI security and privacy. The project addresses the problem of exposing MCP servers to AI coding assistants and enterprise clients without broad local access or unmanaged behavior.
read the full toolhive 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 toolhive more popular?
giskard-oss has 5,830 GitHub stars and toolhive has 2,193. giskard-oss has the larger community by that measure.
Are giskard-oss and toolhive free?
Both are open source. giskard-oss is licensed under Apache-2.0 and toolhive under Apache-2.0. Neither carries a licence fee.
What is the difference between giskard-oss and toolhive?
giskard-oss is written in Python and toolhive 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 toolhive?
Choose giskard-oss if you want the larger community (5,830 stars) or its Apache-2.0 licence terms. Choose toolhive if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.