A desktop workspace for PLS-SEM models, powered by seminr

metis brings model design, calculation, and interpretation into one research-grade desktop workflow, so you can follow the logic of the analysis from structure to result.

Download for Windows See how it works
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One workflow for model design, calculation, and interpretation

metis connects the visual model, your dataset, the seminr engine, and the results flow in one readable desktop environment.

R
R
seminr
CSV
CSV/Excel
Electron
TS
TypeScript
metis, TAM_Study.metis React + TS Save Export ↩ ↪ ▶ Calculate Select LV Connect VARIABLES · PEOU_1 · PEOU_2 · PU_1 · PU_2 · ATT_1 · BI_1 · BI_2 PEOU_1 PEOU_2 PEOU_3 PU_1 PU_2 ATT_1 ATT_2 BI_1 BI_2 β=0.41** β=0.28* β=0.57*** PEOU Ease of Use PU Usefulness ATT Attitude BI Intention ▶ running PLS-SEM… React + Electron IPC / REST POST /calculate { model:{ constructs, paths, file } 200 OK { paths:{ PEOU_PU:0.431 PU_BI:0.614 ATT_BI:0.341 srmr:0.058 } localhost:8000 plumber.R model.R R 4.3.2 1 #* @post /calculate 2 function (model) { 3 # load CSV from model spec 4 dataset <- read.csv(model$file) 5 mm <- constructs (model$constructs) 6 sm <- relationships (model$paths) 7 8 pls <- estimate_pls ( 9 data = dataset, 10 measurement_model = mm, 11 structural_model = sm 12 ) 13 summarise_pls (pls) 14 } R Console seminr v3.2.1 > estimate_pls(data, mm, sm) ✓ PLS estimation complete β PEOU→PU 0.431 (p<0.01) β PU→BI 0.614 (p<0.001) β ATT→BI 0.341 (p<0.01) R²(BI) = 0.61 ✓ SRMR = 0.058 · NFI = 0.921 · AVE all ≥ 0.50 > _
about metis

An open desktop environment for serious PLS-SEM work

metis is a free desktop application for researchers and students who need a serious PLS-SEM workflow without expensive licences. It combines a visual modelling canvas with the R and seminr analysis engine so you can move from theory to interpretable results in one place.

visual model design

Build constructs and structural paths on an interactive canvas, then keep coefficients and model outputs connected to the diagram that produced them.

complete PLS-SEM workflow

Run PLS-SEM, faster bootstrap defaults, PLS predict, and higher-order construct workflows with practical control over subsamples, weighting schemes, and iterations.

no-code analysis workflow

Use seminr-powered statistics without writing R code. metis handles the backend pipeline while you stay focused on theory and interpretation.

private local computation

Your dataset and calculations stay on your machine. metis runs the analysis engine locally, with no cloud upload requirement.

canvas

Keep the model and the results in view

Move from the canvas to coefficients and back without losing context.

metis keeps path coefficients, loadings, and fit indices close to the model that produced them, so the structure and the interpretation stay aligned.

PATH COEFFICIENTS Path Coeff. 2.5% 97.5% p PEOU → PU 0.431 0.284 0.572 0.002 PU → BI 0.614 0.491 0.738 0.000 PEOU → BI 0.183 0.041 0.329 0.018 FIT INDICES SRMR 0.058 NFI 0.921 R² (PU) 0.61 R² (BI) 0.53
DATA, TAM_Study.csv peou1 peou2 peou3 pu1 pu2 5 4 5 4 3 3 3 4 5 5 4 5 4 3 4 INDICATOR ASSIGNMENT PEOU → peou1–4 PU → pu1–4 BI → bi1–3 248 rows · 12 columns · no missing values ready to model
data

Work with real datasets from the start

Build with your files, not placeholder examples.

Import your dataset and design with real indicator names, real loadings, and real significance values from the first run onward.

zero-code

No R required

Let the statistical engine run in the background while you stay with the research.

metis handles bootstrapping, PLS predict, NCA, cIPMA, IPMA, and the seminr setup work for you, so you can focus on specification, interpretation, and reporting.

BOOTSTRAP SETTINGS Subsamples 1000 change Inner Weighting path weighting centroid factor Max Iterations 300 run bootstrap
localhost:6000 no cloud. no account. no telemetry. R engine · local REST API · Windows + macOS
privacy

100% local processing

Your data never leaves your machine.

The R engine runs on localhost only. No account required, no telemetry, no cloud. Your research data stays yours.

tark

Journal-ready tables from saved results

Tark / report builder journal export
Construct assessment ready to copy
Construct
Loadings
CR
AVE
PEOU
0.81 / 0.84 / 0.79
0.91
0.68
PU
0.83 / 0.85 / 0.80
0.90
0.67
Hypothesis testing APA notes on
PEOU → ATT0.41Supported
PU → ATT0.28Supported
ATT → BI0.57Supported

metis against established SEM tools

Workflow
metis
SmartPLS
ADANCO
AMOS
Free local desktop workflow
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Pricing & Subscription
Free forever
Paid
Paid
Paid
PLS-SEM focus
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Visual model builder
Easy HOC drawing
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PLSpredict workflow
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IPMA and NCA
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Tark-style report tables
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See HOC docs Read the 0.0.2 update
wall

notes on the wall

Notes from people using, testing, and shaping metis as an open-source research tool. Drag a card; press a corner; the cards push back.

see the full wall
FAQ

Quick answers

Which installer should I choose?

Choose Bundle if you want metis to bring the R support. Choose Lite if R is already installed.

Do I need to know R?

No. metis uses R in the background, but the workflow is visual.

Will my dataset leave my computer?

No. Model building, analysis, saved results, and reports run locally.

What analyses can I run?

PLS-SEM, Bootstrap, PLSpredict, IPMA, NCA, cIPMA, higher-order constructs, and Tark reports.

Can I build second-order constructs?

Yes. metis supports higher-order construct links and HOC result tables.

Does metis replace SmartPLS, ADANCO, or AMOS?

It is a free local PLS-SEM option. Use the benchmark table to compare fit for your workflow.

Does metis work on macOS?

Yes. v0.0.2 includes macOS builds for Apple Silicon and Intel Macs.

Is Linux available?

Not yet. Linux packaging is in development.

Choose your download

A research-grade desktop workflow for building and interpreting PLS-SEM models.

Start with the version that fits your setup and keep model design, calculation, and interpretation in one connected environment.

Bundle 283 MB+

metis Bundle

  • Includes R runtime support, no separate R setup needed
  • Fully self-contained, works offline
  • seminr pre-installed and configured
  • Recommended for most researchers
View Bundle downloads
Lite 78 MB+

metis Lite

  • Smaller download, faster to install
  • Ideal for users already running R
  • seminr installed on first launch
  • Requires R to be installed separately
View Lite downloads
How to cite

Cite metis in your work

If metis supports your thesis, paper, teaching, or research project, please cite the software.

In-text citation (Metis, 2026)
Reference Metis. (2026). Metis: Free PLS-SEM desktop software for academic researchers (Version 0.2.1) [Computer software]. https://metis.emend.it.com
View full citation formats
roadmap

metis Roadmap

See what is coming next and where the workflow is heading.

view the roadmap
June 2026

v0.2.1

Higher-order constructs, easier HOC linking, accent color selection, improved preferences, faster bootstrap defaults, and Windows/macOS downloads.

release notes
academic roots

Developed in an academic research environment

Built with early feedback from researchers at KNUST and now opening to the broader international academic community.

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