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.

## 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 ```python 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.