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Five tools to turn an after-work notebook into a shareable app — Streamlit 1.63.0 (1 Sep 2026), Gradio 6.26.0, Panel 1.9.4, Dash 4.4.1, NiceGUI 3.16.0. Not a trading-signal product. Not a fake ranking. Not investment advice.
Five libraries you can pip on a weeknight to turn a notebook or small analysis into a shareable app — not a trading-signal product. Why now: Streamlit 1.63.0 tagged 1 September 2026 (pills wrap, st.rerun in callbacks, expander type="step", and more). This is not a search-volume ranking and not investment advice.
The only course CTA is Introduction to Python Programming.
streamlit.io · GitHub 1.63.0. Write top-to-bottom Python; widgets rerun the script. 1.63.0 highlights include wrap on st.pills / st.segmented_control, st.rerun() inside widget callbacks, type="step" on st.expander / st.status, and icon params on titles.
pip install "streamlit==1.63.0"
gradio.app · PyPI gradio. Strong when you already have a function (predict(x) -> y) and want a shareable UI fast. Pin 6.26.0 (PyPI / GitHub around 2026-08-24).
pip install "gradio==6.26.0"
panel.holoviz.org · GitHub v1.9.4. Fits if you already live in HoloViews / hvPlot / Bokeh. 1.9.4 tagged 17 August 2026.
pip install "panel==1.9.4"
dash.plotly.com · GitHub v4.4.1. Explicit layout + callbacks; natural if your charts are already Plotly. 4.4.1 tagged 21 July 2026 (4.2+ line includes FastAPI / Quart backend options).
pip install "dash==4.4.1"
nicegui.io · GitHub v3.16.0. Imperative Python UI on Quasar / Vue; good when you want buttons and pages without inventing a frontend repo. 3.16.0 tagged 12 August 2026 (read their security advisories when you upgrade).
pip install "nicegui==3.16.0"
# app.py — synthetic only. Not a signal. Not trading advice.
import streamlit as st
import pandas as pd
st.title("After-work toy dashboard")
n = st.slider("rows", 5, 50, 10)
df = pd.DataFrame({"x": range(n), "y": [i * i for i in range(n)]})
st.line_chart(df, x="x", y="y")
st.dataframe(df)
streamlit run app.py
Stop after one tool. Do not build a “signals” product tonight.
If Python packaging is the blocker, Introduction to Python Programming, then pip install one of the five and print its version.