A luminous octopus rendered in glowing particles and network lines, each arm reaching toward a different point of light
Free & open-source · runs on your machine

Keep one arm on every dataset.

A daily journal for your research data. Log what you changed, see your history, and stay archive-ready — all on your own computer.

No accounts No cloud Your data never leaves your laptop

Who it's for Built for researchers, PhD students, and labs who want their data well-documented — without the extra busywork.

What it does

Every arm doing something useful.

Six quiet helpers that turn the small notes you take today into the documentation your future self needs.

01

Daily memos, made easy

Jot a quick note whenever you touch your data. Streaks and an activity heatmap keep the habit fun.

0 day streak · keep it lit
02

A visual timeline

See every version of your dataset from “Original” to now, where the most changes happened, and reopen the data exactly as it was at any point.

03

Guided metadata (Data Steward)

A step-by-step wizard captures the right metadata from day one. Save your progress and continue any time.

04

Built-in version history

Powered by git and DataLad under the hood — but simple enough for non-coders. Nothing to configure, nothing to break.

05

Local, private AI

Generate summaries and data management plans with an open-source model that runs on your own machine. Your data never leaves your computer.

06

Archive-ready in one click

Export a checksummed package with a README, data management plan, and metadata — ready to hand straight to a repository.

How it works

Three small habits. One tidy archive.

No migration, no setup ritual. Point it at a folder and start writing — the documentation assembles itself in the background.

STEP 01

Open a project folder

Open or create a project folder on your computer. That folder is your journal — no import, no upload.

STEP 02

Write a quick note

Each time you work with the data, leave a short memo of what changed and why. A sentence is plenty.

STEP 03

Generate when you need it

Produce summaries, data management plans, and an archive-ready package whenever the moment calls for it.

About

Why SepiaLog exists.

SepiaLog was created by Dr. Ivan Đurić, a Senior Researcher at the Leibniz Institute of Agricultural Development in Transition Economies (IAMO). He built it out of a need that grew from more than 20 years of research experience.

Keeping up with the constant transformations a dataset goes through over a project's lifetime is a never-ending struggle. And when the motivation to track that processing slips — as it always does — it turns into real problems later, the moment results need to be regenerated or the data prepared for publication.

SepiaLog exists to fix exactly that: to help PhD students and researchers turn one of the most tedious and demanding parts of research into something genuinely easy.

Enjoy journaling.

Dr. Ivan Đurić
Senior Researcher · Leibniz Institute of Agricultural Development in Transition Economies (IAMO)

Free and open source · Runs locally · No accounts, no cloud

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