Software Alternatives, Accelerators & Startups

BeakerX VS Observable

Compare BeakerX VS Observable and see what are their differences

BeakerX logo BeakerX

Open Source Polyglot Data Science Tool

Observable logo Observable

Interactive code examples/posts
  • BeakerX Landing page
    Landing page //
    2019-03-18
  • Observable Landing page
    Landing page //
    2023-10-09

BeakerX features and specs

  • Polyglot Environment
    BeakerX supports multiple programming languages, allowing users to work with Java, Scala, Python, and more within the same notebook, making it versatile for data science and analytics tasks.
  • Interactive Widgets
    Provides a rich set of interactive widgets that facilitate complex data visualizations and enhance user interaction within Jupyter Notebooks.
  • Enhanced Table Display
    Offers improved table display features such as sorting, filtering, and highlighting, which help in better data exploration and analysis.
  • Extensibility
    The extensible architecture allows users to integrate custom tools and functionalities, allowing for tailored data processing workflows.
  • Seamless Integration with Jupyter
    Integrates smoothly with Jupyter, providing additional functionalities while maintaining compatibility with existing Jupyter workflows.

Possible disadvantages of BeakerX

  • Resource Intensive
    BeakerX can be resource-intensive, potentially leading to performance issues on systems with limited computational capabilities.
  • Complex Installation
    The installation process can be complex and may require additional dependencies, which can create barriers for new users.
  • Limited Community Support
    The community and user base for BeakerX may not be as large as other platforms, which can limit the availability of community-driven support and resources.
  • Learning Curve
    Users may face a learning curve when adapting to the multi-language environment, especially those used to single-language notebooks.
  • Potential Stability Issues
    Due to its vast array of features and integrations, users might encounter stability issues or bugs, especially with updates or new releases.

Observable features and specs

  • Collaborative Environment
    Observable allows multiple users to collaborate in real-time, making it easier for teams to work together on data visualizations and analyses.
  • Reactive Programming
    The platform supports reactive programming, where changes in data automatically trigger updates in the visualizations, enhancing interactivity and reducing the need for manual updates.
  • Built-in Data Visualization Libraries
    Observable integrates seamlessly with popular libraries like D3, Plotly, and Leaflet, providing powerful tools for creating complex and interactive data visualizations.
  • Notebook Interface
    The notebook interface is user-friendly and allows for easy documentation and sharing. Users can combine code, visualizations, and markdown text in a single document.
  • Extensive Resources and Community Support
    Observable has a rich set of tutorials, examples, and a strong community, making it easier for new users to learn and get help.
  • Customizability
    Users have the flexibility to customize their visualizations extensively, thanks to the open-ended nature of JavaScript and the supported libraries.

Possible disadvantages of Observable

  • Steeper Learning Curve for Beginners
    New users, especially those without a background in JavaScript, might find the platform challenging to learn compared to more specialized data visualization tools.
  • Performance Issues
    For very large datasets or highly complex visualizations, performance can become an issue, potentially leading to slow rendering times.
  • Dependency on Internet Connection
    Observable notebooks currently require an internet connection to run, which can be a limitation for users needing offline access.
  • Limited Integration with Other Tools
    While Observable is powerful, its integration with other enterprise tools and platforms is somewhat limited compared to more established data analysis tools.
  • Subscription Costs
    Access to some of Observable's more advanced features requires a paid subscription, which might be a barrier for individual users or small teams with limited budgets.

BeakerX videos

GRAV LABS 16 INCH BEAKER BONG UNBOXING !!!!!

More videos:

  • Review - NEW TAG BEAKER BONG!!!!! 4k Unbox/Sesh
  • Review - Glasscity Bong Review - Glasscity Limited Edition Beaker Base Ice Bong

Observable videos

Observable Overview

More videos:

  • Review - observablehq.com review observable hq data analysis
  • Review - Hands-on Data Visualization with Observable Plot

Category Popularity

0-100% (relative to BeakerX and Observable)
Data Science And Machine Learning
Data Visualization
0 0%
100% 100
Data Science Notebooks
34 34%
66% 66
Data Dashboard
0 0%
100% 100

User comments

Share your experience with using BeakerX and Observable. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare BeakerX and Observable

BeakerX Reviews

We have no reviews of BeakerX yet.
Be the first one to post

Observable Reviews

Top 10 Grafana Alternatives in 2024
Observable is a Grafana alternative that enables users to visualize data via charts and dashboards using code.
Source: middleware.io
Embedded analytics in B2B SaaS: A comparison
A few options were disregarded from the start due to a hefty price tag, these were Looker, Tableau, Power BI, GoodData. A few options like Trevor.io, Preset, Observable were disregarded as they did not seem to fit our criteria (based on the evaluation matrix).
Source: medium.com

Social recommendations and mentions

Based on our record, Observable seems to be a lot more popular than BeakerX. While we know about 312 links to Observable, we've tracked only 2 mentions of BeakerX. 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.

BeakerX mentions (2)

Observable mentions (312)

  • Apache ECharts
    "Observable is obnoxious if you want to add a D3 pie chart to your Vue application and have to untangle calls to D3’s API from reactive cell values, which look like ordinary JavaScript, but are not, and will cause compilation and runtime errors when copied." Yep - as I wrote: "If you want to just blindly copy and paste d3 code, you may have issues with the docs being hosted on observable." If instead you learn the... - Source: Hacker News / 23 days ago
  • Natural occurring molecule rivals Ozempic in weight loss, sidesteps side effects
    I'd imagine many nested named capturing groups may trip even the best automated system! I do like the solution though. I would've probably approached it differently, trying to first get the 'inverted' match (i.e. Not matching anything that isn't a currency like pattern) and refine from there. A bit like this one I did a while back, to parse garbled strings that may occur after OCR [0]. I imagine the approach does... - Source: Hacker News / about 2 months ago
  • Visualizing Data Is an Art – We Should Treat It Like One
    Was looking for some mention of Mike Bostock and his epic odyssey into this space. For those who aren't familiar https://observablehq.com/@mbostock. - Source: Hacker News / 3 months ago
  • Ohm: A user-friendly parsing toolkit for JavaScript and TypeScript
    I experimented with an Ohm/CodeMirror bridge that would map an Ohm grammar to CodeMirror classes for marks and syntax highlighting. It might be an interesting starting point for you: https://observablehq.com/@ajbouh/editor. - Source: Hacker News / 3 months ago
  • WebGL Fluid Simulation
    I have a fork of this that inverts the light model from additive to subtractive and suddenly its like ink in water https://observablehq.com/@tomlarkworthy/ink. - Source: Hacker News / 4 months ago
View more

What are some alternatives?

When comparing BeakerX and Observable, you can also consider the following products

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

RunKit - RunKit notebooks are interactive javascript playgrounds connected to a complete node environment right in your browser. Every npm module pre-installed.

iPython - iPython provides a rich toolkit to help you make the most out of using Python interactively.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

nteract - nteract is a desktop application that allows you to develop rich documents that contain prose...

Vega-Lite - High-level grammar of interactive graphics