Open-RAG-Eval evaluates retrieval-augmented generation without requiring golden answers.
The Best Giskard Alternatives in 2026
Looking for something like Giskard? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 21 are open source.
Giskard provides open source evaluation and testing tools for LLM agents.
Top picks at a glance
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Open-RAG-Eval | — | Yes | — |
| 2 | Vearch | — | Yes | — |
| 3 | DB GPT | — | Yes | — |
| 4 | opendatalab/MinerU | — | Not stated | — |
| 5 | openai/evals | — | Yes | — |
| 6 | nilearn | — | Yes | — |
| 7 | RagTune | — | Yes | — |
| 8 | LLM Evaluation Metrics: Everything You Need for LLM Evaluation - Confident AI | — | Not stated | Web |
| 9 | AutoRAG | — | Not stated | — |
| 10 | WhichLLM | — | Yes | — |
All Giskard alternatives
Vearch provides distributed vector search capabilities for applications built around artificial intelligence.
DB-GPT is an open-source agentic data assistant for AI and data products.
opendatalab/MinerU
github.com/opendatalab/MinerUMinerU converts complex PDF and Office documents into Markdown or JSON for AI workflows.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
nilearn provides Python tools for machine learning and neuroimaging analysis.
RagTune helps inspect, debug, benchmark, and tune retrieval for retrieval augmented generation systems.
LLM Evaluation Metrics: Everything You Need for LLM Evaluation - Confident AI
confident-ai.com/blog/llm-evaluation-metrics-e…This guide explains LLM evaluation metrics, including measures for retrieval augmented generation and agents, with DeepEval examples.
AutoRAG
github.com/Marker-Inc-Korea/AutoRAGAutoRAG helps an agent search for information across files on a computer.
WhichLLM tests local language models on a user’s hardware and ranks them using recent benchmarks.
Adala automates data labeling through an autonomous agent framework for organizing labeled datasets.
Omnigraph provides a graph engine for lakehouse data with Git-style workflows.
The LightGBM framework uses gradient boosting for ranking, classification, and other machine learning tasks.
DVCLive logs and tracks machine learning metrics, parameters, and models with Git or DVC.
Pyro brings probabilistic programming capabilities to Python projects using PyTorch.
This Swift library builds machine learning predictions using linear regression.
NALP covers Natural Adversarial Language Processing through a dedicated library.
neuropredict evaluates predictive performance using neuroimaging features.
Cornac provides a framework for comparing multimodal recommender systems and recommendation algorithms.
pytorch tabular provides a unified framework for deep learning models on tabular data.
This repository implements YOLOv3 variants in PyTorch for real time object detection, training, validation, inference, and export.
Captum explains model behavior and supports interpretability analysis for PyTorch systems.
AutoViz automatically creates visualizations for datasets of different sizes from a single line of code.
PyTorch Frame provides a library for applying deep learning models to tabular data.
Alternatives to similar tools
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