Software Alternatives, Accelerators & Startups

Charts.css VS Observable

Compare Charts.css VS Observable and see what are their differences

Charts.css logo Charts.css

CSS data visualization framework

Observable logo Observable

Interactive code examples/posts
  • Charts.css Landing page
    Landing page //
    2021-09-20
  • Observable Landing page
    Landing page //
    2023-10-09

Charts.css features and specs

No features have been listed yet.

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.

Analysis of Observable

Overall verdict

  • Observable is highly regarded for its user-friendly interface and powerful capabilities. It is particularly valued in environments where collaboration and interactive data exploration are essential. While it may have a learning curve for beginners, its features and community support make it a worthwhile tool for data-driven projects.

Why this product is good

  • Observable is considered good because it offers an innovative platform for data visualization and analysis. It provides an interactive, collaborative environment where users can share and explore JavaScript-based notebooks. The platform's real-time collaboration features, ease of use, and ability to integrate with various data sources make it a valuable tool for data scientists, analysts, and developers.

Recommended for

  • Data scientists and analysts who need to create and share interactive visualizations.
  • Developers looking for a platform to build and showcase data-driven projects.
  • Educational institutions that require tools for teaching data analysis and visualization.
  • Businesses looking for collaborative tools to enhance their data exploration processes.

Charts.css videos

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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 Charts.css and Observable)
Charting Libraries
100 100%
0% 0
Data Visualization
3 3%
97% 97
Charts
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

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Reviews

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

Charts.css Reviews

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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 Charts.css. While we know about 315 links to Observable, we've tracked only 8 mentions of Charts.css. 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.

Charts.css mentions (8)

  • Charts in CSS
    Charts have been done in CSS many times before — there's even a dedicated project. So why this post? Because CSS evolves all the time — new, cool techniques emerge, allowing us to do things simpler, or add even more complicated new features. - Source: dev.to / 13 days ago
  • 3 Ways to add Dynamic CSS Custom Properties in Angular
    To make things easier, we’re using the open-source data visualization library, Charts.css. So, we don’t need to worry about adding our own styles for the chart. This library uses HTML tables and provides several classes to style the chart as needed. - Source: dev.to / 11 months ago
  • Doughnut time
    Charts.css is a much more comprehensive approach to charting using CSS. As such, their starting point is often the table. Tables are great for displaying data which has both a vertical and a horizontal relationship. For example:. - Source: dev.to / over 2 years ago
  • I am working on this project As a beginner with just HTML, CSS and Bootstrap knowledge. How do I create this zig zag line chart in the dashboard below. HELP.
    If this doesn't need to be dynamic you can use charts.css . Source: about 2 years ago
  • InterOp - what can we actually expect this year?
    Can improve data visualization and charts. Especially for frameworks like Charts.CSS that use no JavaScript. - Source: dev.to / over 2 years ago
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Observable mentions (315)

  • Show HN: High End Color Quantizer
    Thanks! I agree that in the few example images you've shown it looks quite natural. In other implementations I could always see "ghosts" of the Hilbert curve in the resulting image (usually these were 1-bit images, that might have been a factor), so that used to turn me off of it a bit, even though I find it a very elegant algorithm. On the note of matrix based error diffusion exploring other methods, maybe you'd... - Source: Hacker News / 9 days ago
  • What if the Big Bang wasn't the beginning?
    Isn't it more a matter of how space is folded in higher dimensions rather than an increase in volume that accounts for containment? There is plenty of space in the corners after all[0]. [0]: https://observablehq.com/@tophtucker/theres-plenty-of-room-in-the-corners#Fig2. - Source: Hacker News / 8 days ago
  • Using elliptic curves to solve a math meme
    Using other constants in place of the ‘4’ can lead to some _really_ gigantic smallest solutions: https://observablehq.com/@robinhouston/a-remarkable-diophantine-equation. - Source: Hacker News / about 1 month ago
  • 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 / 2 months 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 / 3 months ago
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What are some alternatives?

When comparing Charts.css and Observable, you can also consider the following products

Chart.js - Easy, object oriented client side graphs for designers and developers.

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.

Neumorphic Generator - Delightful CSS presets for your next product

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

Tailwind Box Shadows - A curated list of box shadows for your next web project.

Vega-Lite - High-level grammar of interactive graphics