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marimo VS PyInstaller

Compare marimo VS PyInstaller and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

marimo logo marimo

The next-generation Python notebook

PyInstaller logo PyInstaller

PyInstaller is a program that freezes (packages) Python programs into stand-alone executables...
Not present
  • PyInstaller Landing page
    Landing page //
    2021-10-20

marimo features and specs

No features have been listed yet.

PyInstaller features and specs

  • Cross-Platform Support
    PyInstaller supports Windows, macOS, and Linux, allowing developers to create executables for multiple platforms from a single codebase.
  • Single Executable
    PyInstaller can bundle a Python application and all its dependencies into a single executable, simplifying distribution as users do not need to install Python separately.
  • Easy to Use
    PyInstaller has straightforward commands and a simple configuration process, making it accessible even for those with limited experience in creating executables.
  • Customizable
    PyInstaller provides various options for customization, allowing developers to specify which files to include or exclude, add data files, and more.
  • Active Community
    PyInstaller benefits from an active community that contributes to its development and provides support through forums and other platforms.

Possible disadvantages of PyInstaller

  • Executable Size
    The executable files generated by PyInstaller can be large since they include the Python interpreter and all dependencies, which may not be ideal for applications with size constraints.
  • Compatibility Issues
    While PyInstaller supports many third-party Python packages, some packages may not work out of the box, requiring additional configuration or adjustments.
  • Occasional Bugs
    Like any software tool, PyInstaller can have bugs, especially with new or less common Python features, which may require troubleshooting or code workarounds.
  • Limited Optimization
    The executables produced by PyInstaller may not be as optimized in terms of performance as those created by more complex methods or tools specifically designed for performance enhancements.
  • Dynamic Module Loading
    Handling dynamic imports can be challenging with PyInstaller, requiring developers to manually specify hidden imports to ensure all dependencies are included.

Analysis of marimo

Overall verdict

  • marimo is an excellent modern reactive notebook for Python that solves many of the pain points associated with traditional notebooks like Jupyter, making it a strong choice for reproducible, interactive, and shareable data work.

Why this product is good

  • Reactive execution model automatically re-runs dependent cells when a variable changes, eliminating hidden state and out-of-order execution bugs common in Jupyter
  • Notebooks are stored as pure Python (.py) files, making them git-friendly, easy to diff, and importable as modules or executable as scripts
  • Built-in interactive UI elements (sliders, dropdowns, tables) that bind directly to Python variables without callbacks or extra frameworks
  • Can be deployed as interactive web apps or dashboards directly from the notebook, blurring the line between exploration and production
  • Open source with active development and a growing community, plus fast performance and a clean, modern interface

Recommended for

  • Data scientists and analysts who want reproducible, bug-free notebook workflows
  • Developers who value version control and want notebooks that work well with git
  • Educators and teams building interactive dashboards or demos from Python code
  • Anyone frustrated with Jupyter's hidden state and out-of-order execution issues
  • Researchers who need to share reproducible, executable analyses

marimo videos

Marimo Notebooks Intro | Charting Python's rise in popularity

More videos:

  • Review - Python notebooks: Marimo vs. Jupyter
  • Review - The Next Generation Of Python Notebook: Getting Started With marimo

PyInstaller videos

Archivo ejecutable en Python | Windows| PyInstaller |PyQT5| Python | ยกMuy fรกcil!

More videos:

  • Review - python hack #8 reverse shell espionage cmd fichier py en exe pyinstaller part2
  • Review - python hack #8 reverse shell espionage cmd fichier py en exe pyinstaller part1

Category Popularity

0-100% (relative to marimo and PyInstaller)
Data Visualization
100 100%
0% 0
Website Builder
0 0%
100% 100
Text Editors
100 100%
0% 0
Development
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, PyInstaller should be more popular than marimo. It has been mentiond 33 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

marimo mentions (15)

  • Pluto.jl 1.0 release โ€“ reactive notebook for Julia
    Pluto is great. I use it all the time. If you like the reactivity/reproducibility but are wedded to Python, you might want to check out Marimo, which is also great. [https://marimo.io/] It too puts the output of a cell above the code so if you're unable to adapt to things that are different it's also probably not for you. FWIW, Observable's Notebooks (Javascript) work the same way: output above the code... - Source: Hacker News / 2 months ago
  • Show HN: I'm tracking 197 known exposures of health data from UK Biobank
    Marimo notebooks give you the best of both worlds (https://marimo.io). - Source: Hacker News / 4 months ago
  • Why DuckDB is my first choice for data processing
    Agree with the author, will add: duckdb is an extremely compelling choice if youโ€™re a developer and want to embed analytics in your app (which can also run in a web browser with wasm!) Think this opens up a lot of interesting possibilities like more powerful analytics notebooks like marimo (https://marimo.io/) โ€ฆ and thatโ€™s just one example of many. - Source: Hacker News / 7 months ago
  • Building SSR-Friendly Avatars with In-Browser AI: How I Trained Python Models and Ported Them to TensorFlow.js
    The training pipeline uses Marimo notebooks (think Jupyter, but reactive). Models are quantized to uint8 and served via CDN. Total bundle for a predictor: up-to 2MB. - Source: dev.to / 8 months ago
  • Installing & Working with Python - in Ubuntu 24.04
    Marimo is a Jupyter notebook with each cell being somewhat logically connected to each other. That's way if you update the value of a variable in a cell and re-run it, related values in other cells will be auto-updated and auto-run. This is called reactive execution. Thus the notebook can act as a single python script or app and has an extension of .py instead of .ipynb. - Source: dev.to / 9 months ago
View more

PyInstaller mentions (33)

  • Show HN: Halloy โ€“ the modern IRC client I hope will outlive me
    I don't say it is best, but there are solutions like pyinstaller [0] to produce a binary from python code. [0] https://pyinstaller.org/en/stable/. - Source: Hacker News / 10 months ago
  • ReproZip โ€“ reproducible experiments from command-line executions
    Https://news.ycombinator.com/item?id=43553198 : > auditwheel show > auditwheel repair: copies these external shared libraries into the wheel itself, and automatically modifies the appropriate RPATH entries such that these libraries will be picked up at runtime. This accomplishes a similar result as if the libraries had been statically linked without requiring changes to the build system. Packagers are... - Source: Hacker News / about 1 year ago
  • Cosmopolitan v3.5.0
    Looking forward toward somebody hooking together Python in APE [0], something like pex [1]/shiv[2]/pyinstaller[3], and the pants build system [4] to have a toolchain which spits out single-file python executables with baked-in venv and portable across mainstream OSes with native (or close enough) performance. 0 - https://news.ycombinator.com/item?id=40040342 2 - https://shiv.readthedocs.io/en/latest/ 3 -... - Source: Hacker News / about 2 years ago
  • Playable Sandbox Now Available
    Normally games made with pygame are not playable from the web. They can only be run from the command line or use PyInstaller or cx_Freeze to create a standalone executable. - Source: dev.to / over 2 years ago
  • Python GUIs
    I have found PyInstaller [1] to work well for packaging everything into a single ZIP file that unzips to a folder with an executable binary and all accompanying files (or even a single EXE file that self-extracts when run, but that increases startup time). It knows how to package PyQt and its associated Qt libraries (or PySide, which I actually prefer) so that they can be shipped with your application. [1... - Source: Hacker News / about 3 years ago
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What are some alternatives?

When comparing marimo and PyInstaller, you can also consider the following products

Observable - Interactive code examples/posts

cx_Freeze - cx_Freeze is a set of scripts and modules for freezing Python scripts into executables in much the...

Hyperquery - Data notebook built for speed, visibility, and collaboration

bbfreeze - create stand-alone executables from python scripts

Zerve AI - What if Jupyter + Figma + VSCode had a baby?

PyPy - PyPy is a fast, compliant alternative implementation of the Python language (2.7.1).