Julius
Upload a spreadsheet, ask in plain English, get charts, models and the code behind them.
Standout features
Julius is built around one idea: why should only data analysts get to analyse data? You bring a file, it does the rest.
Worldwide search interest, indexed 0–100 · Google Trends.
Julius is a conversational AI data analyst — you upload data, ask questions in plain language, and it writes and runs the code to answer them.
- Built by Rahul Sonwalkar in San Francisco, launched out of Y Combinator in 2022.
- Over 2 million users and 10M+ visualisations generated, per the company.
- Translates plain-English questions into Python, then returns charts, models and the code.
- Julius Teams adds multi-user collaboration, audit trails and warehouse connections.
Julius leans on frontier LLMs plus a secure code sandbox.
- Uses large language models (the same class behind ChatGPT and Gemini) to plan analysis.
- Executes Python in a secure container that spins up per session and is torn down after.
- Recovers from its own code errors — it spots failures and adapts instead of giving up.
- Connects to BigQuery and Snowflake for warehouse-native work.
Freemium, with paid tiers scaling message volume.
Julius is for people who work with data but do not write code.
- Analysts, founders and researchers living in spreadsheets.
- Anyone who wants charts and models without learning Python, R or SQL.
- Teams who want plain-English analysis on warehouse data.
- Engineers who would rather write the notebook themselves.
- Enterprises needing heavy governance and embedded BI.
No tool is perfect — the trade-offs to weigh:
- Messy CSVs with blanks can throw off first-pass results — verify critical numbers.
- Message caps on lower tiers can bite during heavy analysis.
- Less depth than a full notebook or BI stack for large team workflows.
- As with any AI analyst, you own the responsibility to sanity-check outputs.
- ✓Real Python analysis, not just chat answers
- ✓Genuinely easy for non-technical users
- ✓Clean, exportable charts
- ✓Warehouse connections (BigQuery, Snowflake)
- ✓Generous enough free tier to test
- ✕Message caps on cheaper plans
- ✕Struggles with very messy input data
- ✕Not a full team BI platform
- ✕Outputs still need human verification
Reviewers consistently call Julius the most approachable way to get real analysis from a spreadsheet without code. The common caveat: clean your data first, and check the numbers that matter.
Julius is built by an independent San Francisco startup focused entirely on conversational data analysis.
Company figures are drawn from public disclosures and reputable trackers (gathered Jun 2026). User and revenue numbers are estimates and move fast.
Pick up to two other coding tools to see them head-to-head on the same rubric.