Data to Paper

Data to Paper

Data to Paper is an automation framework that uses AI agents to complete end-to-end scientific research processes. It transforms raw data into traceable, scientifically rigorous manuscripts automatically, enabling transparent and verifiable research automation. The system was archived on April 24, 2024.

Use tool

Pricing

Free
$/mo
  • Unlimited public/private repositories
  • Dependabot security and version updates
  • 2,000 CI/CD minutes/month (Free for public repos)
  • 500MB of Packages storage (Free for public repos)
  • Issues & Projects
  • Community support
  • GitHub Codespaces ($0 spend limit)
Team
$/mo
  • Includes all features from the Free plan
  • Access to GitHub Codespaces (flexible compute, pay-as-you-go)
  • Advanced repository rules
  • Multiple reviewers & draft pull requests
  • Code owners & required reviewers
  • Pages and Wikis
  • Environment deployment branches and secrets
  • 3,000 CI/CD minutes/month
  • 2GB of Packages storage
  • Web-based support
  • GitHub Secret Protection
  • GitHub Code Security
Enterprise
$/mo
  • Includes all features from the Team plan
  • Data residency
  • Enterprise Managed Users
  • User provisioning through SCIM
  • Centralized enterprise account management
  • Environment protection rules
  • Enterprise-wide repository rules
  • Audit Log API & Advanced auditing
  • SOC1, SOC2, type 2 reports
  • FedRAMP Tailored ATO
  • SAML single sign-on
  • GitHub Connect
  • 50,000 CI/CD minutes/month
  • 50GB of Packages storage
  • Premium support (30-minute SLA)

Details

Pricing Tier

Freemium

Categories

AI AssistantData Analysis

Target Audience

General Public

Sponsor

Ad space