Home/Compare/giskard-oss vs simple-evals

Comparison

giskard-oss vs simple-evals

Verdict

Pick giskard-oss when license: giskard-oss is Apache-2.0, simple-evals is MIT; pick simple-evals when license: simple-evals is MIT, giskard-oss is Apache-2.0.

Markdown twin · giskard-oss alternatives · simple-evals alternatives

GraphCanon updated today

giskard-oss logo

giskard-oss

Giskard-AI/giskard-oss

5.5kpushed Jul 10, 2026
vs
simple-evals logo

simple-evals

openai/simple-evals

4.6kpushed Apr 22, 2026

Trust & integrity

Signalgiskard-osssimple-evals
Maintenance
Very active (1d since push)
As of today · github_public_v1
Steady (79d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

giskard-oss
🐢 Open-Source Evaluation & Testing library for LLM Agents
simple-evals
simple-evals

Stars

giskard-oss
5.5k
simple-evals
4.6k

Forks

giskard-oss
485
simple-evals
493

Open issues

giskard-oss
70
simple-evals
56

Language

giskard-oss
Python
simple-evals
Python

Adopt for

giskard-oss
Giskard-OSS is a Python library aimed at evaluating and testing AI agents, particularly language models. It includes modules for scenario-based tests, security scanning, and synthetic data generation.
simple-evals
-

Persona

giskard-oss
-
simple-evals
-

Runtime

giskard-oss
-
simple-evals
-

License

giskard-oss
Apache-2.0
simple-evals
MIT

Last pushed

giskard-oss
Jul 10, 2026
simple-evals
Apr 22, 2026

Categories

giskard-oss
LLM Frameworks, AI Agents, Vector Databases
simple-evals
LLM Frameworks, Evaluation & Observability

Trust and health

Maintenance

giskard-oss
Very active (96%)
simple-evals
Steady (60%)

Days since push

giskard-oss
1d
simple-evals
79d

Open issues (now)

giskard-oss
70
simple-evals
56

Full report

giskard-oss
Trust report
simple-evals
Trust report

Choose giskard-oss if…

  • License: giskard-oss is Apache-2.0, simple-evals is MIT.
  • Requirements: Requires Python 3.12 or higher..
  • Tags unique to giskard-oss: llm-eval, agent-evaluation, llm, fairness-ai.
  • Also covers AI Agents, Vector Databases.
  • - You need an open-source solution specifically designed for testing LLMs with built-in checks and vulnerability scans.

When NOT to use giskard-oss

  • - If you prefer a tool without any potential telemetry data collection, even though Giskard allows opting out, as it could be seen as potentially intrusive despite safeguards.
  • - You are working with environments that only support Python versions below 3.12, since Giskard-OSS requires at least Python 3.12.

Choose simple-evals if…

  • License: simple-evals is MIT, giskard-oss is Apache-2.0.
  • Tags unique to simple-evals: python.
  • Also covers Evaluation & Observability.

When NOT to use simple-evals

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: giskard-oss 5.5k · simple-evals 4.6k (synced Jul 11, 2026).

Common questions

What is the difference between giskard-oss and simple-evals?
giskard-oss: 🐢 Open-Source Evaluation & Testing library for LLM Agents. simple-evals: simple-evals. See the comparison table for live GitHub stats and shared categories.
When should I choose giskard-oss over simple-evals?
Choose giskard-oss over simple-evals when License: giskard-oss is Apache-2.0, simple-evals is MIT; Requirements: Requires Python 3.12 or higher.; Tags unique to giskard-oss: llm-eval, agent-evaluation, llm, fairness-ai; Also covers AI Agents, Vector Databases; - You need an open-source solution specifically designed for testing LLMs with built-in checks and vulnerability scans.
When should I choose simple-evals over giskard-oss?
Choose simple-evals over giskard-oss when License: simple-evals is MIT, giskard-oss is Apache-2.0; Tags unique to simple-evals: python; Also covers Evaluation & Observability.
When should I avoid giskard-oss?
- If you prefer a tool without any potential telemetry data collection, even though Giskard allows opting out, as it could be seen as potentially intrusive despite safeguards. - You are working with environments that only support Python versions below 3.12, since Giskard-OSS requires at least Python 3.12.
When should I avoid simple-evals?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Is giskard-oss or simple-evals more popular on GitHub?
giskard-oss has more GitHub stars (5,505 vs 4,565). Stars measure visibility, not whether either tool fits your constraints.
Are giskard-oss and simple-evals open source?
Yes - both are open-source projects on GitHub (giskard-oss: Apache-2.0, simple-evals: MIT).
Where can I find alternatives to giskard-oss or simple-evals?
GraphCanon lists graph-backed alternatives at giskard-oss alternatives and simple-evals alternatives (giskard-oss markdown twin, simple-evals markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, giskard-oss or simple-evals?
giskard-oss: Very active. simple-evals: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for giskard-oss and simple-evals?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: giskard-oss trust report; simple-evals trust report.