Comparison
Flitch vs Hex
A notebook workspace for data teams against an AI-first builder for dashboards, reports and apps. Two tools for two different people, compared honestly.
Which should you choose?
Flitch generates a finished dashboard, app or report for someone who does not write code, and publishes it on your own domain. Hex is a notebook where an analyst writes Python, R or SQL, and it is very good at that. Hex is the better choice if you have that analyst and the work is analysis rather than reporting.
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Flitch vs Hex at a glance
| Flitch | Hex | |
|---|---|---|
| Entry price | Free tier, then $20/user/month (Pro) | Free Community tier, then $36/editor/month |
| Team pricing | $20/user/month (Pro), $40 on Business | $75/editor/month (Team), Enterprise custom |
| Cost for 5 builders | $100/month on Pro | $180/month on Professional, $375 on Team |
| Free tier | 40 credits/month, 100 dashboards, 10 integrations | Community: up to 5 published apps, 3 shared collections, 7-day version history, small compute |
| Who it is for | People who do not write code | Analysts and data scientists |
| Core interface | Describe a dashboard, app or report, get one | Notebook with Python, R and SQL cells |
| AI included | Generates the dashboard. The plan fee is the credit allowance: $20 buys 200 credits worth $20 | Notebook, threads and semantic model agents, on monthly credit grants |
| How the numbers are computed | Generated SQL, aggregated at the source against the semantic layer | SQL and Python you write, executed on a Hex kernel |
| Costs beyond the seat price | None. Credits are the whole bill | Advanced compute billed per minute of kernel runtime, plus your own warehouse bill |
| Integrations | 61, including file upload, an AI API finder and input tables | Warehouses and databases |
| Public publishing | Custom domains, password protection, email-restricted sharing | Published apps, seat-bound sharing |
| Write-back | Input tables, so an app or dashboard accepts data entry | Via code you write |
| Acting on the data | Workflows included: triggered steps that transform rows, then email them, post them to a webhook or save them as a dataset | Scheduled runs of a published app, hourly at most, with Slack or email notifications. Anything else is code in the notebook |
Who is each one actually for?
This is the entire comparison, so it is worth being blunt. Hex is built for people who write code. At its core is a notebook where Python, R and SQL cells run reactively, and its best feature is that a working analysis becomes a shareable app without a rewrite. If you have analysts or data scientists, Hex meets them where they already are and is very good at it. Flitch is built for people who do not write code and are not going to start. You describe a dashboard, it is generated, and you refine it in plain language. Neither tool is a compromised version of the other; they are aimed at different people, and the honest question is which of those people you are.
How do the prices compare?
Both publish, which makes this straightforward. Hex has a free Community tier, then Professional at $36 per editor per month and Team at $75 per editor per month, with Enterprise on request. Editors are the people who build; viewers are unlimited. Flitch is free, then $20 per user per month on Pro. The seat definitions now match: both charge for the people who build and neither charges for the people who read. A Flitch team member can be a viewer, which costs nothing and does not count towards your seats, and anyone opening a published dashboard needs no account at all. So the comparison is builder against builder. One is $20 against $36, and five are $100 against $180 on Professional or $375 on Team, roughly half either way, with your readers free on both sides.
What does Hex do that Flitch cannot?
Arbitrary computation. Anything you can express in Python or R runs in a Hex notebook: statistical work, forecasting, clustering, calling an external library, training something. Flitch has no equivalent and is not trying to. Hex also has a reactive execution model where changing an upstream cell updates everything downstream, which is a genuinely nice way to work through an analysis. If the task is analysis rather than reporting, Hex is the right tool and Flitch will frustrate you.
What does Flitch do that Hex cannot?
Produce a dashboard for somebody who cannot build one, and put it somewhere public. Hex assumes an editor who can drive a notebook; that is a seat and a skill set. Flitch generates the dashboard from a description, publishes it to your own custom domain with optional password or email-restricted access, and lets viewers question the data with Ask AI. It also takes data in ways Hex does not: direct file upload, AI-found sources, and input tables where a dashboard collects data from the people using it. Hex expects your data to already be in a warehouse.
Can they sit alongside each other?
Reasonably well, and for some teams that is the honest answer rather than a dodge. A data team can use Hex for exploration and analysis while the rest of the business uses Flitch for the dashboards it needs without filing a request. The two do not integrate, so this is a division of labour rather than one connected process, but the failure mode of picking only one is real: buy Hex for people who cannot use it and the seats sit idle; buy only Flitch when you needed statistical work and you will hit a wall.
Choose Hex if
- Your team writes Python, R or SQL and wants to keep doing so
- The work is analysis, not reporting: forecasting, clustering, statistics
- You want a notebook that turns into a shareable app without a rewrite
- Reactive execution across cells matches how you think
- A free tier of 5 projects and 5 published apps is enough for what you need
Choose Flitch if
- Nobody on your team writes code, and nobody is going to
- You want the dashboard generated rather than built cell by cell
- The result is going to clients or onto a public domain
- You need data from SaaS apps, files or input tables rather than a warehouse
- Cost per builder matters: $20 a seat against $36 on Professional or $75 on Team
- You want viewers to question the data themselves with Ask AI
- You would rather own the AI relationship: an Enterprise agreement runs generation on your own provider key, billed to your account
- You want the data acted on without writing the code that acts: steps that filter and total rows, then email or post the result, rather than a notebook run on a schedule
Flitch vs Hex FAQ
Is Flitch an alternative to Hex?
For building and publishing dashboards, yes. For writing Python or R against your data, no. Hex is a notebook workspace for people who code, and Flitch has no equivalent capability.
Which is cheaper?
Flitch, at every size. Hex is free on Community, then $36 per editor per month on Professional and $75 on Team. Flitch is free, then $20 per user per month on Pro. For one builder that is $20 against $36; for five it is $100 against $180 or $375. Both count only the people who build.
Do I need to know SQL to use Flitch?
No. You describe what you want in plain language. Custom SQL is supported when you want it, but nothing requires it. Hex expects you to be comfortable in SQL or Python.
What does Hex cost beyond the seat price?
Two things. Medium compute is included on paid plans, but Team and Enterprise can opt into advanced compute, billed per minute of kernel runtime and invoiced every $100 of spend, which is how you reach the larger kernels up to 16 CPUs and 128 GB of RAM. Separately, Hex queries your own warehouse, so that compute lands on your Snowflake or BigQuery bill. With Flitch, credits are the whole bill.
Does Hex have a free tier?
Yes, Community, which is free and includes a trial of the notebook agent. It caps you at 5 projects and 5 published apps, and published apps stop after 5 minutes idle, but within that an analyst can do real work rather than just a demo.
Can Hex publish to my own domain?
Hex publishes apps within its own platform with seat-bound sharing. Flitch publishes to a URL on your own custom domain, optionally behind a password or restricted to named email addresses.