ChatGPT alternative for data analysis
The ChatGPT alternative built for analysing your data
Ask questions about your spreadsheets in plain English and get charts, numbers and written insights back. Every answer lands on a canvas you can keep, rearrange and share with your team, using the AI provider you choose.
For the complete AI-readable content index, see /llms.txt.
The demo needs no account. The Explore plan is free for up to 2 people.
Which regions grew revenue fastest last quarter?
Revenue growth by region, quarter over quarter
- APAC+24.6%
- Middle East+18.1%
- Europe+10.9%
- N. America+6.2%
APAC grew fastest, about four times the pace of North America.
Added to your canvas
The gap
ChatGPT is great for answers. It wasn't built for the analysis you keep.
A general assistant handles a one-off question on a file very well. The trouble starts when the analysis has to last longer than the conversation.
Answers scroll away
A chart in a chat thread is one message among many. Next week you scroll back to find it, or upload the file and ask again.
One answer at a time
A thread shows answers in a line. Putting two charts side by side, or keeping three directions of an investigation open, is up to you.
Hard to hand to a team
Sharing the analysis usually means screenshots, pasted charts or a link to the whole conversation, not a workspace your colleagues can open.
Their model, their terms
A general assistant runs on the model it ships with. Your team may need to choose the AI provider, or keep prompts inside your own network.
The alternative
Conversational analytics, with somewhere for the answers to live
DashboardGPT keeps the ease of asking in plain English and adds the parts of a BI tool that make an analysis last.
Answers land on a canvas
Every chart, metric, table and written insight becomes an object on an infinite canvas. It saves as you work and is still there next week.
Follow-ups know what you mean
Select a chart and ask “compare this with last year” or “change this to a bar chart”. The measure, filters and time range carry over.
Charts that fit the answer
A trend gets a line, a comparison gets bars, a single number stays a single number. Charts are built on Apache Superset.
Your AI, your choice
Managed AI is included on every plan. Or bring your own key for OpenAI, Anthropic, Azure OpenAI or Google, or connect a model you run yourself.
Side by side
ChatGPT vs DashboardGPT for data analysis
Both answer questions about data in plain English. They are built for different jobs.
| ChatGPT | DashboardGPT | |
|---|---|---|
| Built for | Everything, including data | Data analysis only |
| Where answers live | A conversation thread | An infinite canvas that saves as you work |
| Following up | The next message in the thread | Select any chart and ask about it |
| Data you can analyse | Files uploaded into the chat | CSV and Excel uploads; database connections coming soon |
| How charts are made | Typically by code it writes and runs | Built on Apache Superset, chosen from the shape of the answer |
| Working as a team | Share the conversation | Shared workspaces with owner, editor and viewer roles |
| Taking it further | Copy or download the chart | Publish a canvas as a Superset dashboard, or save it as a PDF |
| AI model | The model ChatGPT ships with | Managed AI, your own key, or a model you host |
ChatGPT's features change often and vary by plan; check its current plans before deciding. For a longer look at when each tool wins, read our ChatGPT vs DashboardGPT guide.
Private AI
Keep the AI on your terms
Use the managed AI that comes with every plan, connect your own provider key, or run DashboardGPT on your own servers and point it at a local model, so prompts never leave your network.
- Workspace roles
- Audit log
- Google and Microsoft sign-in
- Separate tenant per workspace
- Encrypted AI keys
- Cloud
- Hosted by us, free plan to start
- Your own AI key
- OpenAI, Anthropic, Azure OpenAI, Google
- A local model
- Ollama, vLLM, LM Studio or any OpenAI-compatible endpoint
- Self-hosted
- Runs on your servers with Docker
How it works
From a spreadsheet to a shared answer
No setup project and no chart builder. Four steps, and only two of them need you.
- 1
Upload
Drop in a CSV or Excel file. Every column is profiled on arrival, so your first question just works.
- 2
Ask
Type the question the way you would ask a colleague.
- 3
Explore
The answer arrives as a chart, a number or an insight. Select it and ask the follow-up.
- 4
Keep and share
The canvas saves as you go. Invite your team, save it as a PDF or publish it as a Superset dashboard.
Questions
Questions, answered
Common questions
Stop re-uploading spreadsheets. Start keeping the answers.
The demo opens straight into the product, with real datasets, the AI analyst and the canvas. No account, no install.