SepiaLog is a free, local-first journal for your research data — with optional on-device AI.
Spend months cleaning and transforming a dataset, then forget what you changed or why? SepiaLog keeps a simple journal of every step and automatically snapshots your data, so you can reopen it exactly as it was at any point.
Optional local AI (via Ollama) turns that journal into an assistant: ask questions about your own dataset, auto-draft a README, methods or data-availability statement, and dictate voice notes transcribed on your machine. It all runs on your computer — nothing is uploaded.
At publishing time, SepiaLog generates a data management plan, codebook, GDPR check and an archive-ready package in one click. No git, no setup, no account.
Here you'll find tutorials and tips on research data management, reproducibility, FAIR data, local AI and data documentation.
→ sepialog.com ✉ info@sepialog.com
SepiaLog
Be honest: What is your biggest headache when dealing with research datasets? 👇
We are building tutorials and workflow guides for SepiaLog to fix the messiest parts of scientific data tracking. Cast your vote so we know where to start:
2 months ago | [YT] | 0
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