Research software for people who do the research
OrbitLab takes a raw dataset to a defensible statistical analysis, publication-quality figures and a literature review — computed locally, on your own machine.
Windows 10 & 11 · 64-bit · 81.2 MB · Released 3 Aug 2026
OrbitLab by StarshipAI
- Dashboard
- Research Lab
- Charts Studio
- Literature Search
- Account
Projects stay on this device
Analyses
6
Assumptions
Checked
Engine
Local
Independent-samples comparison
Welch's t-test · two-tailed
One workspace
Three modules, one continuous workflow
Each module hands its output to the next. Results computed in Research Lab are the same results Charts Studio draws and the same numbers your manuscript quotes.
Research Lab
Plan a study, build an extraction sheet, validate it, then run the analysis the design actually calls for. Descriptives, t-tests, ANOVA, Mann-Whitney, Kruskal-Wallis, correlation and 2×2 measures with confidence intervals.
Charts Studio
Publication-quality figures generated straight from saved results, so the numbers in the figure and the numbers in the table cannot drift apart.
Literature Search
One search across PubMed, OpenAlex, Crossref and Semantic Scholar, with duplicate records merged into a single ranked result.
How it works
From question to write-up without leaving the app
- 01
Describe the study
State your question and design. OrbitLab proposes the variables you need to collect and the analysis that fits.
- 02
Build the extraction sheet
Import a spreadsheet or enter data directly. Separators, line endings and thousands separators are handled and flagged rather than misread.
- 03
Validate before you analyse
Missing values, type conflicts and plan mismatches are resolved up front, so the analysis runs on data you trust.
- 04
Compute, chart and write up
Run the recommended tests, generate figures from those exact results, and export to Word or PDF with the numbers already in place.
A research assistant that already knows OrbitLab
Sign in with your OrbitLab account and just ask. It answers questions about the software, works out which statistical test your design actually calls for, reads your output with you, and coaches you through every section of the manuscript — abstract, introduction, methods, results and discussion.
It runs in the browser, so you can use it on a phone or a second computer while OrbitLab stays installed on your one licensed machine. Signing in here does not use up that machine.
Free with an active plan. There is nothing extra to buy.
Things people actually ask it
- Which test should I use for two independent groups?
- My data are not normally distributed — what now?
- Here is my abstract. Cut it to 250 words.
- I cannot articulate the gap in my introduction.
- My p-value is 0.07. What do I write?
- Walk me through my first project, step by step.
It replies in the language you write in, and keeps anything destined for your manuscript in English.
It knows the product
Answers about OrbitLab come from its documentation, and it tells you when it is not certain instead of inventing a menu you will never find.
Your conversations stay in your browser
Chats are never stored on a StarshipAI server. Only a per-day message count is kept, so your allowance can be enforced.
It will not make things up
No invented citations, no invented numbers, and no methods section describing work nobody did. It edits and coaches; it does not fabricate.
Why it is built this way
Trust is a feature, not a footnote
Statistical software is only useful if you can defend what it produced. These are the constraints OrbitLab holds itself to.
Your data never leaves the device
Research projects, datasets and participant rows are stored locally. Statistics are computed on your machine, not in a cloud.
Deterministic where it counts
Every inferential result is computed by a deterministic engine — no model in the path. Run it twice and you get the same number.
Honest about its limits
A smaller-than-planned sample is reported as a limitation to write up, not silently swallowed. Conflicts are surfaced, not hidden.
Updates that respect your work
Signed release metadata, SHA-256 on every installer, and an update prompt that tells you what changed before you accept it.
Start with your next dataset
Download the current Commercial Beta and run a full analysis end to end. Your projects stay on your machine.