# Deepnote Alternatives for Sharing Notebook Output (2026)

Canonical: https://commareports.com/alternatives/deepnote-alternatives
Published: 2026-09-06

> Deepnote is a full collaborative notebook platform. Alternatives compared for teams who only need to share the rendered result — with access control, comments and a stable URL.

# Deepnote alternatives

Deepnote solved a real problem: notebooks are miserable to collaborate on,
and a hosted, real-time, versioned environment with a warehouse connection
is a genuine upgrade over passing `.ipynb` files around.

The question worth asking before adopting any notebook platform is who the
seats are for. If half of them are stakeholders who never run a cell, you
are paying platform prices for a viewing experience.

## Where a notebook platform is more than the job

- **Readers don't need a kernel.** Most people opening a notebook link want
  the chart and the conclusion. Handing them a code environment shows them
  imports, scratch cells and a stack trace from cell 4.
- **Seats for viewers.** Collaborative platforms price around editors *and*
  viewers. Sharing a weekly result with twenty people gets expensive fast.
- **Migration cost for a sharing problem.** Adopting a platform means
  moving your notebooks, your secrets and your compute — a large answer to
  "how do I send Priya the cohort chart."
- **Publishing is still to a public URL or a platform account.** Neither is
  ideal for a client or an auditor.

## The shortlist

### 1. Comma — keep the notebook, publish the render

Nothing about where you write the notebook changes. Export and publish the
output:

```bash
jupyter nbconvert --to html --embed-images cohorts.ipynb

curl -X POST https://commareports.com/api/v1/reports \
  -H "Authorization: Bearer $COMMA_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d "$(jq -n --arg h "$(cat cohorts.html)" \
        '{title:"Cohort analysis", html:$h, visibility:"team"}')"
```

Use `--no-input` when the audience should see conclusions rather than code.
Plotly, Altair, Bokeh and ipywidgets output stays interactive; the report
renders in a sandboxed iframe with scripts allowed.

What the reader gets: a URL with real per-report visibility (private, team,
email domain, registered, link), anchored comment threads on a specific
chart or output cell, and revisions at one id — re-publish next week and
the link you already sent shows the new numbers with the old ones diffable.
Viewers and commenters are free and unlimited, which is the part that
usually decides this.

**Not for:** running the notebook. Comma stores and serves the rendered
artifact; execution stays wherever it is today.

**Pricing:** Free — unlimited reports, viewers, commenters and revisions.

**[Share a Jupyter notebook as HTML →](/share-jupyter-notebook-html)**

### 2. Google Colab — free execution, Drive-shaped sharing

If the need is a shared runtime rather than a shared document, Colab is
free and everyone already has an account. Sharing follows Drive's model,
and there is no comment layer on rendered output. See
[Comma with Colab](/with/colab).

### 3. Hex or Mode — if it is really a data platform question

Warehouse connection, scheduled runs, an app builder and BI semantics. Buy
them for that, not to host a file. See
[Hex alternatives](/alternatives/hex-alternatives) and
[Mode alternatives](/alternatives/mode-alternatives).

### 4. nbviewer or GitHub — free, public, static

nbviewer renders any public notebook URL and GitHub renders `.ipynb`
inline. Both are free, neither is private, neither keeps widgets alive.
See [nbviewer alternatives](/alternatives/nbviewer-alternatives).

## At a glance

| Option        | Reader needs a seat | Private   | Interactive output | Comments on output |
| ------------- | ------------------- | --------- | ------------------ | ------------------ |
| **Comma**     | **No**              | **Yes**   | **Yes**            | **Yes, anchored**  |
| Deepnote      | Usually             | Yes       | Yes                | In the notebook    |
| Colab         | Google account      | Via Drive | Yes                | On the notebook    |
| Hex / Mode    | Yes                 | Yes       | Yes                | Varies             |
| nbviewer      | No                  | No        | Limited            | No                 |

_Checked September 2026. Verify current plans before committing._

## How to choose

- **A team that co-edits notebooks daily on warehouse data?** A notebook
  platform earns its keep.
- **Occasional analysis, shared results?** Keep your local or Colab
  notebook and [publish the export](/share-jupyter-notebook-html).
- **Stakeholders who only read?** Never give them a kernel. Give them a
  page they can comment on.

### Related

- [Share a Jupyter notebook as HTML](/share-jupyter-notebook-html) ·
  [Share a Deepnote notebook](/share-deepnote-notebook)
- [Share a Colab notebook](/share-colab-notebook) ·
  [Share a marimo notebook](/share-marimo-notebook)
- [All hosting alternatives](/alternatives)