Data To Paper AI Agent
by Technion-Kishony-labdata-to-paper: Backward-traceable AI-driven scientific research
Data To Paper is an open-source ai agent by Technion-Kishony-lab, written mainly in Python, with 834 GitHub stars and the MIT license. Its code was last updated Jul 19, 2025. The latest PyPI release is data-to-paper 1.1.22, published Jul 19, 2025, with 11 downloads last week.
Scan summary: scanned Nov 5, 2026 at commit 81df14c. Seen able to run shell commands, run dynamic code, read environment and secrets. Scan policy
What Data To Paper can touch
- Seen in this scan, either in the code or while it ran.Run shell commandsFound in the code by our scan
- Seen in this scan, either in the code or while it ran.Run dynamic codeFound in the code by our scan
- Our checks did not find this. The tool may still do it.Read or write filesNot seen in this scan
- Seen in this scan, either in the code or while it ran.Read environment and secretsFound in the code by our scan
- Our checks did not find this. The tool may still do it.Control a web browserNot seen in this scan
- Our checks did not find this. The tool may still do it.Connect to databasesNot seen in this scan
- Our checks did not find this. The tool may still do it.Read or send messagesNot seen in this scan
- Our checks did not find this. The tool may still do it.Touch money or tradingNot seen in this scan
- Our checks did not find this. The tool may still do it.Connect to the internetNot run in this scan
"Not seen" means our checks did not find it, and the tool may still do it. Covers commit 81df14c, Nov 5, 2026. See the scan policy.
Before you install Data To Paper
AgenticMart scanned Data To Paper on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.
What it can access
- An AI agent decides its own next steps and calls whatever tools you give it, so its risk depends on the access you grant.
- Based on its description and topics, it likely needs to read or change your workspace data (docs, tickets, CRM).
Before you install
- Connect it to a test workspace before your real one.
- Pin the version you reviewed instead of always installing the latest release.
- Read the tool list or scripts before the first run, and keep approval prompts on for actions that write, send or delete.
- Maintained by Technion-Kishony-lab on GitHub, 834 stars and 95 forks. Popularity is not proof of safety.
- Last code change was over a year ago (Jul 2025); unmaintained code doesn't get security fixes.
- Open-source license: MIT.
Data To Paper is an open-source ai agent by Technion-Kishony-lab, written mainly in Python. data-to-paper: Backward-traceable AI-driven scientific research
At a glance
- Stars
- 834
- Forks
- 95
- Language
- Python
- License
- MIT
- Created
- Jun 2023
- Last update
- Jul 19, 2025
- Type
- AI Agent
- Price
- Free
Topics
Questions about Data To Paper
What is Data To Paper?
data-to-paper: Backward-traceable AI-driven scientific research
Who maintains Data To Paper?
Data To Paper is maintained by Technion-Kishony-lab on GitHub (Technion-Kishony-lab/data-to-paper). AgenticMart lists it from public repository data.
Is Data To Paper safe to use?
AgenticMart scanned Data To Paper on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.
What license does Data To Paper use?
It is published under the MIT license.
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