Giskard-AI/giskard-oss
๐ข Open-Source Evaluation & Testing library for LLM Agents
โก Executive Summary & Quick Facts
Authoritative Sourcegiskard-oss is giskard-oss is an open-source project written in Python: ๐ข Open-Source Evaluation & Testing library for LLM Agents..
| Repository | Giskard-AI/giskard-oss โ |
|---|---|
| Primary Category | agent evaluation |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | โ 5.9K stars ยท โ 554 forks ยท #2,111 globally |
| Maintenance | โ Active (Last commit: Oct 20, 2026) ยท 78 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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+148
STARS ยท LAST 30 DAYS
5
PER DAY
#330
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +35 | +148 | +450 |
| Per day | 5 | 5 | 5 |
| Forks gained | +3 | +11 | +28 |
giskard-oss gained 148 stars in the last 30 days, about 5 a day, and now has 5.9K. It is about 5 years old and has averaged roughly 1.2K stars a year. It ranks #330 among Python repositories and #2,111 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#5703
BEST RANK
Oct 20, 2026
FIRST APPEARANCE
Active
STATUS TODAY
giskard-oss has maintained a continuous presence across global trending indexes, peaking at #5703. Below is the 30-day activity profile:
๐ก Overview
giskard-oss is an open-source project written in Python: ๐ข Open-Source Evaluation & Testing library for LLM Agents.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-evaluation, ai-red-team, ai-security. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
โก Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
๐ฅ Installation
$ pip install giskard-ossโ System Requirements
Platforms
- โข macOS
- โข Linux
- โข Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
๐ง How It Works
giskard-oss coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
๐ฏ Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with giskard-oss.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
๐ Getting Started
Install giskard-oss using your package manager: `pip install giskard-oss`
Initialize your project workspace or configuration file for giskard-oss.
Import giskard-oss into your codebase or invoke it directly from your terminal.
Execute your test suite or run `giskard-oss --help` to verify successful setup.
๐ Strengths
โ ๏ธ Considerations
โ Alternatives & Direct Competitors
๐ฅ Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
๐ Nearby in the Rankings
Giskard-AI/giskard-oss is currently ranked #2,111 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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Frequently Asked Questions
What does giskard-oss do? +
๐ข Open-Source Evaluation & Testing library for LLM Agents
What language is giskard-oss written in? +
The primary language is Python. Topics include: agent-evaluation, ai-red-team, ai-security, ai-testing, fairness-ai.
Is giskard-oss actively maintained? +
Yes, the last recorded push was on Oct 20, 2026 with 78 open issues being tracked.
How many stars does giskard-oss have? +
giskard-oss has 5,913 stars and 554 forks on GitHub.
How does giskard-oss rank among GitHub repositories? +
With 5,913 stars, Giskard-AI/giskard-oss is ranked #2,111 globally across all repositories tracked on GitHubRepo and #330 among Python projects.
What license is giskard-oss distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
