For Data Analysts

Analyze data by
describing what you want.

Stop wrestling with pandas syntax. Tell Caret what you need โ€” "show me monthly trends", "find outliers", "compare regions" โ€” and get instant, working analysis.

No coding required ยท Works with CSV, Excel, databases

Caret - AI-powered notebook for data analysis

Sound familiar?

Data analysis shouldn't feel this hard.

๐Ÿ˜ค

Jupyter feels like it's built for PhDs

Virtual environments, kernel errors, dependency hell. You just want to analyze data, not become a DevOps engineer.

โณ

Writing pandas code takes forever

Every analysis starts with 30 minutes of Stack Overflow. There has to be a faster way.

๐Ÿ“Š

Excel hit its limits years ago

VLOOKUP nightmares, crashed files, formulas that break. You've outgrown spreadsheets.

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Sharing results is awkward

Screenshots in Slack. Notebooks that won't render. Stakeholders who can't run your code.

How it works

Analysis in three steps

1

Load your data

Drag in CSV, Excel, JSON or connect to your database. Caret handles the import automatically.

2

Ask in plain English

No syntax to remember. Just describe what you want: "What's the average by region?"

3

Get visual results

DataFrames render as beautiful tables. Charts display inline. Export or share with one click.

quarterly-analysis.caret
โ€บ
Load Q4_sales.csv and show me the top 5 products by revenue
Output
Loading Q4_sales.csv...
12,847 rows ร— 8 columns

Top 5 Products by Revenue:
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ Product            โ”‚ Revenue   โ”‚ Units   โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ Enterprise Suite   โ”‚ $1.2M     โ”‚ 234     โ”‚
โ”‚ Pro Plan           โ”‚ $890K     โ”‚ 1,205   โ”‚
โ”‚ Team Bundle        โ”‚ $654K     โ”‚ 892     โ”‚
โ”‚ Starter Pack       โ”‚ $432K     โ”‚ 3,421   โ”‚
โ”‚ Add-on Services    โ”‚ $321K     โ”‚ 567     โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ€บ
Show this as a bar chart
Output
[Chart: Horizontal bar chart displaying revenue by product]
Examples

Ask anything about your data

Here are some things analysts ask Caret every day.

Load sales.csv and show summary statistics
What's the average deal size by sales rep?
Find customers who churned in the last 90 days
Create a pivot table: rows=product, columns=quarter
Show me a correlation matrix for all numeric columns
Compare this month vs same month last year
Features

Built for how analysts work

Everything you need to go from raw data to insights.

Load Any Data

Drag in CSV, Excel, JSON, or connect to databases. Caret handles the import code automatically.

Instant Visualizations

Bar charts, line graphs, scatter plots, heatmaps โ€” describe what you want, get beautiful charts.

Interactive Tables

Results display as rich, sortable tables. Not raw text output. See your data clearly.

Iterative Refinement

Don't like the result? Just ask for changes. Caret remembers context and updates instantly.

Easy Sharing

Export charts as PNG/SVG. Download data as CSV. Share notebook links for live collaboration.

Version History

Every change is saved. Roll back to any previous version. Compare iterations side-by-side.

Why analysts choose Caret

See how Caret compares to your current workflow.

CapabilityExcelJupyterCaret
Large datasets (1M+ rows)โŒโœ“โœ“
No coding requiredโœ“โŒโœ“
AI assistanceโŒโš ๏ธโœ“
Publication-ready chartsโš ๏ธโœ“โœ“
Easy sharingโŒโŒโœ“
Works offlineโœ“โŒโœ“
Testimonials

Analysts love Caret

โ€œ
I used to spend half my day writing pandas code. Now I spend it actually analyzing data. Caret paid for itself in the first week.
Sarah Chen
Data Analyst
Result
4hrs saved/day
โ€œ
Finally, a tool I can recommend to my marketing team. They can pull their own numbers now instead of filing tickets with me.
James Rodriguez
Analytics Manager
Result
80% fewer requests
โ€œ
The learning curve was 5 minutes. I typed 'help me analyze this CSV' and it worked. My Jupyter setup took 2 hours.
Emily Watson
Business Analyst
Result
Zero setup time

Stop coding. Start analyzing.

Join thousands of analysts who get answers faster with Caret.

Free plan available ยท Upgrade anytime