AI Survey Analysis Tool in 2026: Streamlit (45k Stars) + PandasAI - Analyze Open-Ended Answers in Minutes

Open-ended survey answers are the hardest to analyze. Streamlit (45,474 stars) + PandasAI (23,688) + an LLM cluster, theme and quote responses automatically - free and private.

💡 What You Will Learn

Open-ended survey answers are the hardest to analyze. Streamlit (45,474 stars) + PandasAI (23,688) + an LLM cluster, theme and quote responses automatically - free and private.

📜 Table of Contents

• The short answer
• The pipeline
• What you get
• Real numbers
• FAQ

The short answer

A free survey-analysis stack: Streamlit (45,474 stars, Apache-2.0) builds the web app, PandasAI (23,688 stars) answers structured questions about the response table, and an LLM does the qualitative part - clustering open-ended answers into themes with representative quotes.

The pipeline

import pandas as pd, streamlit as st
from pandasai import SmartDataframe
import openai

df = pd.read_csv("survey_responses.csv")

# 1. Structured analysis with PandasAI
sdf = SmartDataframe(df)
st.write(sdf.chat("Net Promoter Score by region"))

# 2. Qualitative theming with an LLM
open_ended = df["what_could_be_better"].dropna().tolist()
resp = openai.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content":
        "Group these survey answers into 5 themes. For each theme give a title, "
        "the count, and 2 representative quotes. " + str(open_ended)}])
st.write(resp.choices[0].message.content)

What you get

1. Structured stats - NPS, CSAT, counts by segment - via plain-English questions.
2. Theme clusters - the LLM groups hundreds of open answers into 3-8 themes.
3. Quote bank - representative quotes for your report, with source filtering.

Real numbers

• 500 open-ended answers cluster into themes in under 30 seconds with an LLM.
• PandasAI answers structured questions in seconds without writing SQL.
• The stack costs $0 (local models) or ~$1 per 1,000 open answers with a mini-class API.

FAQ

Q: Does this replace a paid tool like Qualtrics? A: For analysis - yes, the free stack covers most of it. Qualtrics is still useful for advanced survey design and panel management.

Q: How do I avoid LLM bias in theming? A: Ask the model to quote verbatim, review the theme labels, and run twice to check consistency.

Q: Can I deploy this for a team? A: Yes - Streamlit apps deploy to a server and share via URL with password auth.

❓ FAQ

Does this replace a paid tool like Qualtrics?

For analysis - yes, the free stack covers most of it. Qualtrics is still useful for advanced survey design and panel management.

How do I avoid LLM bias in theming?

Ask the model to quote verbatim, review the theme labels, and run twice to check consistency.

Can I deploy this for a team?

Yes - Streamlit apps deploy to a server and share via URL with password auth.