A curated list of Monte Carlo tree search papers with implementations.
Open source
24 alternativesdata-to-paper
data-to-paper supports traceable AI driven scientific research from data.
About data-to-paper
data-to-paper is an open-source Python automation framework that uses interacting AI and rule-based agents to carry out a research workflow from raw data to a written paper. The stated workflow covers data exploration, literature search, hypothesis generation, data analysis, interpretation, and step-by-step paper writing. Its distinguishing aim is transparency: the generated manuscripts are described as backward-traceable and human-verifiable.
The framework can run fully autonomously or be guided by a person through the Copilot App, where users can set goals, review results, and rewind the process. The project is described as a research project that studies the capacities and limitations of LLM-driven research, so it should be understood as a research tool rather than a finished commercial product. Installation requires the dependencies listed in the project's INSTALL file. Pricing is not stated.
Key features
- End-to-end pipeline from raw data to a complete research paper.
- Traces numeric values in manuscripts back to generating code lines.
- Autopilot mode or human-guided Copilot App operation.
- Copilot App: set goals, request AI reviews, rewind steps.
- Records and replays runs; tracks API costs.
- Overrides standard statistical packages with guardrails against common LLM coding errors.
Best for: Researchers and developers who want to study or run AI-driven research workflows that produce traceable, human-verifiable analysis outputs.
Good for
- Open source, with the code available in a public GitHub repository.
- Generated manuscripts can be traced from numeric values to the code that produced them.
- Users can choose between fully autonomous runs and human-guided operation.
Watch out for
- Described as a research project studying the limitations of LLM-driven research, not a finished product.
- Installation requires additional dependencies listed in the INSTALL file.
data-to-paper at a glance
- Category
- AI & Machine Learning › AI Search & Research
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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data-to-paper FAQ
How do I try data-to-paper?
Install it with pip install data-to-paper, then run data-to-paper. The project's INSTALL file lists the dependencies required.
Can a person stay involved in the research process?
Yes. The Copilot App lets users oversee and inspect the research, set goals, request on-demand AI reviews, and rewind the process to earlier steps.
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