Aeon provides an AI agent framework that runs unattended on GitHub Actions and can drive Claude Code, Grok, and Codex.
Open source
24 alternativesLumen
Lumen turns natural language into SQL, charts, dashboards, and reports through an agent framework.
About Lumen
Lumen is an open-source agent framework for chatting with data and for retrieval-augmented generation. It turns natural language into SQL or Python data pipelines, charts, data tables, dashboards, and reports, and can use documents and embeddings as context. Generated pipelines and visual outputs use a declarative specification that can be serialized, shared, continued in a notebook, or composed into a dashboard. It requires Python 3 on Linux, Windows, or Mac, and LLM outputs need inspection for mistakes.
Key features
- Generate SQL pipelines from local files, SQL databases, data lakes
- Create charts, data tables, and dashboards from natural language
- Use documents and embeddings to provide context for RAG
- Inspect, refine, and manually edit LLM-generated outputs
- Summarize results and extract key insights via LLM
- Extend with custom agents, tools, and domain analyses
Best for: Python users and domain teams who want natural-language data queries and shareable visualizations.
Good for
- Open source under BSD-3-Clause license and extensible with custom agents and tools
- Declarative pipelines can be serialized, shared, and reused in notebooks or dashboards
- Works with local or remote files, SQL databases, and data lakes
Watch out for
- LLM outputs can contain mistakes and need inspection and manual editing
- Requires Python 3 on Linux, Windows, or Mac with conda or PyPI installation
Lumen at a glance
- Website
- github.com/holoviz/lumen
- Category
- AI & Machine Learning › AI Agent Frameworks
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Lumen FAQ
How do I install Lumen?
It works with Python 3 and above on Linux, Windows, or Mac. Install with conda install -c pyviz lumen or pip install 'lumen[ai]'.
How do I start analyzing a file?
After installation, run lumen-ai serve data.csv, replacing data.csv with your data file.
What data sources can it use?
It can generate pipelines on top of local or remote files, SQL databases, or a data lake, plus documents for context.
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