Giskard provides open source evaluation and testing tools for LLM agents.
The Best opendatalab/MinerU Alternatives in 2026
Looking for something like opendatalab/MinerU? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 18 are open source.
MinerU converts complex PDF and Office documents into Markdown or JSON for AI workflows.
Top picks at a glance
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Giskard | — | Yes | — |
| 2 | Open-RAG-Eval | — | Yes | — |
| 3 | Vearch | — | Yes | — |
| 4 | DB GPT | — | Yes | — |
| 5 | AutoRAG | — | Not stated | — |
| 6 | RagTune | — | Yes | — |
| 7 | LLM Evaluation Metrics: Everything You Need for LLM Evaluation - Confident AI | — | Not stated | Web |
| 8 | ai-evaluation | — | Not stated | — |
| 9 | Modin | — | Yes | — |
| 10 | openai/evals | — | Yes | — |
All opendatalab/MinerU alternatives
Open-RAG-Eval evaluates retrieval-augmented generation without requiring golden answers.
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.
AutoRAG
github.com/Marker-Inc-Korea/AutoRAGAutoRAG helps an agent search for information across files on a computer.
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.
ai-evaluation
github.com/future-agi/agent-learning-kitagent-learning-kit provides an evaluation and simulation environment for AI-related workflows.
Modin scales Pandas data workflows by changing a single line of code in a project.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
NALP covers Natural Adversarial Language Processing through a dedicated library.
neuropredict evaluates predictive performance using neuroimaging features.
CKAN
github.com/ckan/ckanOpen-source DMS (data management system) for powering data hubs and data portals.
Adala automates data labeling through an autonomous agent framework for organizing labeled datasets.
Pycaret
github.com/pycaret/pycaretPyCaret provides a low code AutoML platform for Python, with a scikit-learn native engine and React control plane.
Cornac provides a framework for comparing multimodal recommender systems and recommendation algorithms.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.
Rhesis
github.com/rhesis-ai/rhesisRhesis helps AI teams annotate and review agent behavior so engineers can improve their agents.
nilearn provides Python tools for machine learning and neuroimaging analysis.
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
What is the best alternative to opendatalab/MinerU?
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