Litux

Statistical software for economic analysis, in your browser

Litux is a point-and-click econometrics environment: load a dataset, clean it, plot it and estimate a model without writing code. Every analysis exports as an equivalent replication script in R, Stata and Python, and your data never leaves your machine.

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Runs in the browser. No install, no account, no upload.

The Model tab, estimating a wage equation with robust standard errors.

The whole research workflow, one interface

Litux is organised as seven tabs. You move left to right — data in, results out — and never leave the window.

Where your data lives

The engine runs inside the browser tab. There is no server to upload to, so a confidential dataset stays confidential by construction.

Stays in your browser — always

  • All computation — estimation, cleaning, plots
  • Your raw dataset, stored locally (IndexedDB)
  • Replication script generation

Leaves only if you turn AI on

Optional AI features send filtered context to the model provider: column names and PII-filtered samples — never your dataset.

AI off = zero egress.

One analysis, three scripts

An analysis built in R is not reproducible in Stata. An analysis built in Litux exports equivalent replication scripts for R, Stata and Python — automatically, from the same click-path.

R 
df <- read_csv("wages.csv") |>
  filter(age >= 25)
m <- feols(log(wage) ~ educ + exper,
           data = df, vcov = "HC1")
etable(m)
Stata 
import delimited "wages.csv", clear
drop if age < 25
gen lwage = log(wage)
reg lwage educ exper, vce(robust)
esttab
Python 
df = pd.read_csv("wages.csv")
df = df.query("age >= 25")
m = pf.feols("np.log(wage) ~ educ + exper",
             data=df, vcov="HC1")
m.summary()

Econometrics, without the syntax.

Open a dataset and estimate your first model in under a minute.

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