All alternatives

Alternative page

Alternatives to Hex: notebooks your team keeps, with the dashboards and apps built in.

Hex is compelling when analysts work together in one notebook. Teams look elsewhere when the notebook has to feed dashboards and Streamlit apps the rest of the company opens, when Claude does part of the work, or when paying per editor stops making sense.

Fastero

Notebooks in standard .ipynb with SQL cells, scheduled on the Free plan, with the dashboards and Streamlit apps they feed behind the same login.

Portable notebooks: standard .ipynb, uploaded or imported from your Git repository.
Notebooks that must become a dashboard, an app or a scheduled job.
Teams working with Claude, which creates, runs and schedules notebooks through Fastero’s connector.

Hex

Strong when several analysts work in the same notebook and publish the result as a Hex app.

Analytics teams iterating together in notebooks.
SQL and Python workflows where exploration comes before production delivery.
Cases where published analysis matters more than app operations.
A Python notebook in Fastero: a matplotlib cell and the bar chart it drew, ranking twelve solar sites against their forecast
A Python notebook in Fastero. Sample data.

What to evaluate

The right Hex alternative depends on where the work lands, who reads it and who does it.

Where the work is supposed to land

If the notebook is the deliverable, Hex fits. If it has to feed a dashboard, a Streamlit app or a scheduled report the rest of the company opens, look for a workspace that hosts all of them.

Who pays to read it

Hex charges $36–75 per editor a month. In Fastero, Pro is $20 per editor and viewers are free, so the people who only read dashboards and apps cost nothing.

Who does the work

Analysts write SQL and Python in the notebook. Colleagues ask Fastero’s AI agent in plain English, and Claude Code or claude.ai build dashboards and notebooks through Fastero’s connector.

Practical shortlist

Shortlist the options based on where your team is trying to go next.

Fastero

Best when notebooks feed dashboards and Streamlit apps your team opens, and when you work with Claude.

Streamlit

Useful when the team wants Python-first app flexibility and is comfortable owning more of the app lifecycle itself.

Deepnote

Useful when live co-editing in a managed notebook matters most; its free plan covers three editors and five projects.

Decision framing

Keep the notebook. Ship what it produces.

Fastero runs your notebooks as standard .ipynb on a notebook server nobody on your team has to run, with SQL cells on your connections and secrets kept out of the code. Put a notebook on a cron schedule, turn a SQL cell’s rows or a pandas DataFrame into a dashboard widget that refreshes on that schedule, or promote it to an app behind your team’s login. Colleagues sign in to read it, and viewers are free.