PPpplonski86·May 25, 2026Submission
Show HN: Mercury v3 – Convert Python Notebooks to Web Apps
2 points · Open discussionmljar
mercury
Python2022–2026
mljar / mercury
mercury
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.
2Distinct people
22Mentions
1Explicit recommenders
4.4KGitHub stars
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What it is
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
I build dashboards in Jupyter Lab. My plotting libraries are Altair, matplotlib, seaborn, Plotly - all work well in notebook. My favorite is Altair. It provides interactivity…
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This week on Hacker News
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No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
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HN mentions by year22 dated mentions
Observed mentions: 2022-01-13 08:00:42 UTC to 2026-05-25 08:39:07 UTC.
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| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 9 | 1 | 8 |
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 8 | 3 | 5 |
| 2024 | 2024-01-01 00:00:00 UTC | 2025-01-01 00:00:00 UTC | 2 | 0 | 2 |
| 2025 | 2025-01-01 00:00:00 UTC | 2026-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2026 (partial) | 2026-01-01 00:00:00 UTC | 2027-01-01 00:00:00 UTC | 2 | 2 | 0 |
What Hacker News says
22 sourcesShow HN: Mercury v3 – Convert Python Notebooks to Web Apps
2 points · Open discussionWorking on new backend for Mercury framework. Mercury makes it easy to serve Python notebooks as web apps. You dont need to know HTML, CSS, JS to build beautiful looking web app from Python notebook. I'm writing new backend to support ipywidgets, anywidgets in Mercury. https://github.com/mljar/mercury
In Ask HN: What Are You Working On? (Nov 2025)I'm running a SaaS for serving Python notebooks as web apps [0]. We offer widgets for notebooks and server, both as open source [1]. In open source you are managing the server instance with default Django Admin Panel. In the SaaS version, we have a dashboard for managing site (adding users, setting visibility, usage analytics), the dashboard is closed source. The open source version by default is single site, but can be switched to multi-tenant (multiple domains and subdomains) just by adding instances in the database. In case of update, sometimes it is required to update both code bases. Employees have access to both code bases.
We started with open-source first, and added SaaS offering after ~2 years. The code base split was a natural choice. At first, I didn't want to add SaaS, because managing servers is a lot of work. But, we have a
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lot of requests for such service, and it makes really easy to deploy notebook online (with few clicks you have unique domain and notebook running). I'm happy with this code base split.
[0]: https://runmercury.com
[1]: https://github.com/mljar/mercury
I build dashboards in Jupyter Lab. My plotting libraries are Altair, matplotlib, seaborn, Plotly - all work well in notebook.
My favorite is Altair. It provides interactivity for charts, so you can move/zoom your plots and have tooltips. It is much lighter than Plotly after saving the notebook to ipynb file. Altair charts looks much better than in matplotlib. One drawback, that exporting to PDF doesn't work. To serve notebook as dashboard with code hidden, I use Mercury framework, you can check example https://runmercury.com/tutorials/vega-altair-dashboard/
disclaimer: I'm author of Mercury framework https://github.com/mljar/mercury
In Ask HN: What's the best charting library for customer-facing dashboards?Web App is using two open-source packages that I've created:
- MLJAR AutoML - Python package for AutoML on tabular data https://github.com/mljar/mljar-supervised
- Mercury - framework for converting Jupyter Notebooks into Web App https://github.com/mljar/mercury
You can run Web App locally. What is more, you can adjust notebook's code for your needs. For example, you can set different validation strategies or evalutaion metrics or longer training times. The notebooks in the repo are good starting point for you to develop more advanced apps.
In Show HN: Web App with GUI for AutoML on Tabular DataShow HN: Mercury – Convert Jupyter notebooks to web apps
Author here. Mercury is the simplest way to serve your notebooks as web apps.
The simplicity of the framework is very important to us. Mercury has some useful features to make sharing easier:
- you can show or hide your code,
- your users can easily export executed notebook to PDF/HTML,
- there is built-in authentication,
- you can produce files in the notebook and make them downloadable,
- you can share multiple notebooks.
We also care about deployment simplicity. That's why we created a shared hosting service called Mercury Cloud. You can deploy notebook by uploading a file. Below clickable links:
The GitHub repository https://github.com/mljar/mercury
Documentation https://RunMercury.com/docs/
Mercury Cloud https://cloud.runmercury.com
131 points · Open discussionWe are working on open-source web framework Mercury that converts Python notebooks to Web Apps.
It is very opinionated:
- it has no callbacks - we automatically re-execute cells below updated widget
- it has no layout widgets, all input widgets are always in the left sidebar
Thanks to above decisions you don't need to change notebook's code to have web app and fit to the framework.
The simplicity of the framework is very important to us. We also care about deployment simplicity. That's why we created a shared hosting service called Mercury Cloud. You can deploy notebook by uploading a file.
The GitHub repository https://github.com/mljar/mercury
Documentation https://RunMercury.com/docs/
Mercury Cloud https://cloud.runmercury.com
In Show HN: Opinionated Web Framework for Converting Jupyter Notebooks to Web AppsShow HN: Build Web Apps in Jupyter Notebook with Python Only
2 points · Open discussionIm working on Mercury framework to solve this problem. Notebooks can be static or dynamic. You can hide code in notebook and show only outputs. You can easily add authentication.
The framework repository at GitHu
https://github.com/mljar/mercury
Im working also on cloud offering so you will upload notebooks and set domain. It is available in alpha at https://cloud.runmercury.com
In Ask HN: Fastest way to turn a Jupyter notebook into a website these days?Clickable links:
- Our website: https://RunMercury.com
- Our GitHub: https://github.com/mljar/mercury
In Show HN: Mercury – Turn Python Notebooks to Web AppsShow HN: Mercury – Turn Python Notebooks to Web Apps
Hi! We're Piotr and Aleksandra, founders of Mercury (https://RunMercury.com), an open source framework for converting Jupyter Notebooks to Web Apps. You can turn Python notebook into interactive web app, static website, presentation, report or dashboard and share it online with non-technical users. You can self-host Mercury or use our hosting service (coming soon!).
Our GitHub: https://github.com/mljar/mercury
Sharing Python notebooks is challenging. You can't send notebook directly to non-technical stakeholders. You need to copy-paste results/charts into Word/PowerPoint or rewrite notebook to web framework. Mercury converts notebook to web app. User can execute cells but can't edit them.
Mercury offers set of widgets that can be added to the notebook. When serving notebook with Mercury, widget change triggers automatic re-execution of ce
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lls. Not all cells are re-executed, only cells with widget definition and below, so you can cache results from previous cells execution (loading large dataset or model).
Mercury comes with handy feautures to make sharing easy:
- decide to hide or show notebook's code,
- add authentication to notebooks, so only selected users can view them,
- export final notebook to PDF or HTML file,
- all to create output files in notebook, and make them downloadable,
- share multiple notebooks on one Site.
How does Mercury differ from existing solutions?
- it was desinged for notebooks, it offers simple re-execution of cells after widget update,
- it has built-in authentication.
Mercury is available on AGPLv3. We would like to offer a hosting service, to make deployment very easy (just upload notebook to have website). We offer commercial license for companies looking for private forks and dedicated support.
We’d love to hear from the HN community about this framework!
We released Mercury V2 this week. The V1 was using YAML to generate widgets. The V2 is using Python to add widgets in the notebook. Widgets can be used during development and in web app.
There is simple cell re-execution after widget update.
Mercury GitHub repository https://github.com/mljar/mercury
In Show HN: Convert Jupyter Notebook to Web Apps with Mercury and PythonQuatro is a tool for converting notebooks into shareable formats (like PDF, HTML, Docx). Notebooks are very hard to share. You can't send it to your stakeholders, because Python code will scare them. You can use Quatro to convert notebooks into other formats and easily hide the code. It is like nbconvert on steroids.
I'm working on solution for notebooks sharing with non-technical users. Similar to Quatro it has YAML header, but it can also add widgets to the notebook and serve notebook as interactive web app. My framework is called https://github.com/mljar/mercury
In RStudio Is Becoming PositHey! Author here. I'm working on open-source framework called Mercury. I'm building it to make notebooks sharing easy, especially with non-technical users. The Mercury can turn Python notebook to web application, dashboard, presentation, REST API or report. It has option to easily hide the code, schedule automatic execution, convert to PDF, and send email notifications. The Github repo: https://github.com/mljar/mercury
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