EpistaBase logo EpistaBase
Product · Analysis

Change a number, the figure follows.

Analysis is live and reactive: edit a value and the curve, the p-value, and the figure redraw instantly. Prism-grade curve-fits and statistics, with a .pzfx import so you bring your history — and a Python notebook one click away when you need it.

Join the waitlist All products
analysis — notebook
EpistaBase analysis notebook with a figure, code cells, and reactive controls
Reactive

Live analysis, not a static export.

Adjust the inputs and everything downstream re-renders — the fit, the statistics, the figure. Freeze it when you're done and it carries an immutable hash and a full lineage trail.

  • Prism-grade 4PL/curve-fits and statistics
  • Two-tailed t-tests, ΔΔCt, EC50/IC50 built in
  • .pzfx import so your history comes with you
Demo · Figure State Toggle
Figure is active. Modifications to raw file will automatically re-render.
1.2
Ctrl
3.6
Expt
p = 0.0799

Adjust dataset coordinates:

Control mean1.2 μM
Experimental mean3.6 μM
Power users

Drop into a Python notebook.

Every analysis can open as a reactive notebook on the same live data layer — full scientific Python, then save your script as a clean visual template the rest of your lab can run with no code.

  • scipy, statsmodels, matplotlib — natively
  • Runs against the same governed data layer
  • Save a script as a no-code template for your lab
epistabase_notebook.ipynb
In [1]:
import epistabase as eb
In [2]:
df = eb.load("qPCR_plate3_export.csv").to_dataframe()
popt, _ = eb.fit_4pl(df['conc'], df['signal'])
print(f"EC50: {popt[2]:.3f} nM")
Out [2]:
EC50: 0.842 nM
Runs in a secure, containerized sandbox linked to your data lake origin.

Analyze without leaving your data.

Join the waitlist — we open in rolling cohorts, and members hear first.