Deepnote vs mljar Mercury
Overview
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CLI (Node.js)
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Detailed Comparison
Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore and analyze it with real-time collaboration and versioning, and easily share and present the polished assets to end users. | It is the easiest way to turn your Python Notebooks into interactive web applications and publish to the cloud. It is dual-licensed. The main features are available in the open-source version. It is perfect for quick demos, educational purposes, sharing notebooks with friends. |
Real-time collaboration; Sharing; Comments; Code review; Variable explorer, Autocompletion; Command palette; Keyboard shortcuts
| You define interactive widgets for your notebook with the YAML header;
Your users can change the widgets values, execute the notebook and save result (as PDF or HTML file);
You can add authentication to your notebooks, so only logged users will see the notebook;
You can hide your code to not scare your (non-coding) collaborators;
Easily deploy to any server;
You can schedule the notebook for automatic execution in selected time intervals;
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Statistics | |
GitHub Stars - | GitHub Stars 4.3K |
GitHub Forks - | GitHub Forks 272 |
Stacks 53 | Stacks 1 |
Followers 67 | Followers 3 |
Votes 14 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
What are some alternatives to Deepnote, mljar Mercury?
Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
Apache Zeppelin
A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.
Google Colaboratory
It is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs. Colab is especially well suited to machine learning, data science, and education.
SageMath
It is a free open-source mathematics software system licensed under the GPL. It builds on top of many existing open-source packages: NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, R and many more.
Polynote
It is a different kind of notebook. It supports mixing multiple languages in one notebook, and sharing data between them seamlessly. It encourages reproducible notebooks with its immutable data model.
Franchise
Chart with a single click. Compare queries side by side. Download your work and share it with anyone. If your data is in a CSV, JSON, or XLSX file, loading it is as simple as dropping the file into Franchise.
Vayu
It is an end-to-end tool for data science, without writing any code. Import, prepare, analyze, visualize and share in just a few clicks. Build interactive reports, automate workflows and share templates.
Starboard
It is fully in-browser literate notebooks like Jupyter Notebook. It's probably the quickest way to visualize some data with interactivity, do some prototyping, or build a rudimentary dashboard.
Marimo
It is a reactive notebook for Python. It allows you to rapidly experiment with data and models, code with confidence in your notebook’s correctness, and productionize notebooks as pipelines or interactive web apps.
Luminal
It is a new kind of Python notebook that makes it faster and easier to write Python scripts. It is built with static typing at its core from day one, it gives you the code insight you've always wanted.
