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.
Promote Observable. You can add any of these badges on your website.
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.
We have collected here some useful links to help you find out if Observable is good.
Check the traffic stats of Observable on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Observable on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Observable's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Observable on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Observable on Reddit. This can help you find out how popualr the product is and what people think about it.
That's fair, I generally make charts for publication, so I spend much more time and effort on the details. But I can understand this being useful for quick exploration for some people. Generally speaking, I suggest anyone interested in learning to make charts get familiar with grammar of graphics [0] libraries like Vega-Lite, Observable Plot, ggplot2, Altair. There is a bit of a learning curve if you're used to... - Source: Hacker News / 10 days ago
I am building in the language learning sector, and this test is almost certainly not accurate (depending on what you want to measure). It's fun and cool though. But basically this is all based on a frequency list, which itself depends on the corpus. I have not been able to find a good corpus of English which is representative of modern spoken English. Spoken english depends on your age range and subculture and and... - Source: Hacker News / 30 days ago
I once tried to fully analyze the amazing NTSC emulation used in OpenEmulator. I went down a rabbit hole that involved losing motivation several lessons in to a signal processing class on YouTube, but for those interested, I did at least pull quite a lot of it apart here: https://observablehq.com/@zellyn/apple-ii-ntsc-emulation-openemulator-explainer I also ported it to JavaScript (linked from above page). - Source: Hacker News / about 1 month ago
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 / about 2 months ago
Yes. And just on the arithmetic it should be crystal clear that no data center is anywhere near energetic enough to heat the countryside for miles around. The effect comes from the man-made surfaces facing the sun instead of natural ground cover. Only the sun has the energy to do this. I used the paper's data to investigate some of their claims. The top figure shows the temperature in the area surrounding Google's... - Source: Hacker News / about 2 months ago
Https://observablehq.com/@mikaelau/complete-system-of-philosophy. - Source: Hacker News / 4 months ago
Yeah, I agree. And if the surface is complex the Z features tend to obscure the complexity. I make maps like these for the cities of Berkeley and Oakland, but I use a color scale. And I usually aggregate at a larger granule than parcels. For e.g. https://observablehq.com/@jwb/2024-25-berkeley-property-tax-density. - Source: Hacker News / 4 months ago
How customizeable is the programming of the thermal printers? Whenever I see the dot prints of these thermal print cameras I wonder if I could make it look better using more modern dithering algorithms, e.g. Ostromoukhov dithering: https://observablehq.com/@jobleonard/variable-coefficient-dithering. - Source: Hacker News / 5 months ago
I have a pretty good one here https://observablehq.com/@tomlarkworthy/robocoop-2 and I have a port of opencode in-progress. - Source: Hacker News / 6 months ago
} BTW that agent is under development and not actually that good at programming. Its parent https://observablehq.com/@tomlarkworthy/robocoop-2 is actually very good at notebook programming. - Source: Hacker News / 6 months ago
I remember that incident! As a side-effect I discovered that beautiful panorama picture[0], which was perfect for my two-monitors-plus-laptop-screen set-up aside from the low resolution, so I used my stippling notebook[1] to hide that a little bit[2][3][4]. I could probably tweak the stippling settings a bit to have prettier output, but it's been my wallpaper for over two years now. [0]... - Source: Hacker News / 6 months ago
Curious to hear what integration you are working on. I am thinking about making this (1) into an integration also. It is an alternative way to visualize forecasts. It uses the dew point instead of temperature. I currently use a dashboard that shows the site on an iframe within Home Assistant. 1. https://observablehq.com/@drio/shader-galaxy. - Source: Hacker News / 7 months ago
Something I'm particularly interested in understanding is where the tipping point here is. This project is the absolute extreme: I handed over exactly 8 prompts, and several of those were just a few words. I count the files on disk as part of the prompts, but those were authored by other people. The US copyright office say "the resulting work is copyrightable only if it contains sufficient human-authored... - Source: Hacker News / 7 months ago
FFT was such a revelation to me when I was learning about the digital and analogue interaction. The Wikipedia page is really quite about it: https://en.wikipedia.org/wiki/Fourier_series#Fourier_theorem_proving_convergence_of_Fourier_series I love the visualizations on that page. There were some other cool interactive visualizatiosn on bl.ocks.org, but sadly, that site has be shattered. This is the closest I could... - Source: Hacker News / 9 months ago
Here's a very rough interactive on more recently published 7-way and 11-way venn: https://observablehq.com/@thadk/venn (with cites) This fork shows an older version with all the shapes turned on and filled with original colors: https://observablehq.com/d/4a5120e490fa9da4 Santiago Ortiz's venn was from 2013 (via `archive.org`) . I had forgotten I'd seen that, thanks for sharing. - Source: Hacker News / 9 months ago
People who like these types of charts will probably also like domain coloring plots of complex functions: https://observablehq.com/@rreusser/complex-function-plotter. - Source: Hacker News / 9 months ago
Cheysson and other cross hatched patterns will get you a long way [0]. [0]: https://observablehq.com/@tomshanley/cheysson-color-palettes. - Source: Hacker News / 10 months ago
Love all D3 content, but I'd add that the data binding just to create svg is not the real reason - after all, you can do this declaratively using most modern frameworks by directly iterating over the data and returning a positioned element (fwiw this is how I prefer to use it today). The reason is because of the complexity within d3 selection, namely the enter/update/exit + transition capabilities:... - Source: Hacker News / 11 months ago
You inspired me to submit my old article https://observablehq.com/@jrus/spheredisksample https://news.ycombinator.com/item?id=44963521 to fit the trend of the day. - Source: Hacker News / 11 months ago
Const research_msg = `Generate some ideas on how how this prompt might be improved, perhaps using web research\nCURRENT PROMPT:\n${prompt}\n${trace}` source: https://observablehq.com/@tomlarkworthy/gepa#reflectFn but I would need quite a few distinct tasks to do that and task setup is the laborious part (getting quicker now I optimized the notebook coding agent). - Source: Hacker News / 11 months ago
Recently tried out the new GEPA algorithm for prompt evolution with great results. I think using LLMs to write their own prompt and analyze their trajectories is pretty neat once appropriate guardrails are in place https://arxiv.org/abs/2507.19457 https://observablehq.com/@tomlarkworthy/gepa I guess GEPA is still preprint and before this survey but I recommend taking a look due to it's simplicity. - Source: Hacker News / 11 months ago
Public Opinion Summary on Observable
Observable has carved a niche for itself in the realms of data visualization and interactive coding, positioning itself as a formidable tool among data scientists, developers, and visualization enthusiasts. This platform, often compared to competitors such as Jupyter, D3.js, and Microsoft Power BI, offers a powerful environment for producing interactive data displays and dashboards leveraging JavaScript. Public sentiment reflects a mixture of admiration and critique, with emphasis on its versatility, functionality, and learning curve.
Strengths and Positive Sentiment
Observable is particularly lauded for its interactive notebooks that facilitate live coding, allowing users to see immediate impacts of their code changes. This dynamic environment is conducive to rapid prototyping especially in data visualization projects. Users have cited Observableโs capability for experimenting with complex algorithms and visualizations, as illustrated in forums discussing high-end color quantization or interactive geometry visualizations. It fosters creativity and experimentation, appealing to those who wish to delve deeply into nuance and detail of visualization scripting.
The integration of JavaScript also allows a seamless experience for those familiar with the language, offering broad applicability for web-based projects. Observable is seen by many as a Grafana alternative due to its ability to create sophisticated visualizations from datasets via code, offering an exploratory and iterative approach.
Critiques and Challenges
Despite its virtues, Observable has faced criticism particularly concerning usability concerns when integrating with other tools or frameworks. Notably, developers have pointed out issues with embedding Observable's reactive cells into other environments like Vue.js, arguing that it can lead to complexities and potential runtime errors. This has positioned Observable as a resource that, while potent, necessitates a tailored understanding of its reactive paradigm.
Price sensitivity is also highlighted in recent discussions where Observable was considered but disregarded in B2B SaaS settings due to perceived misalignment with specific criteria or cost concerns, demonstrating that it may not meet the needs of all projects or organizations.
Community and Contribution
The Observable platform benefits from a robust community that continually explores the boundaries of what can be achieved within its environment. Platforms like Hacker News and technical blog spaces frequently see mention of creative use-cases, from unique data visualizations to algorithmic explorations. This community engagement not only reflects individual project development but also contributes significantly to Observable's evolving documentation and resource pool.
Observableโs core design philosophy appears to cater to those looking for customization and control, requiring users to invest in learning its unique reactive paradigm and JavaScript underpinnings to fully exploit its capabilities. This learning curve presents both a challenge and an opportunity, encouraging a deeper understanding and engagement with coding and data visualization.
In conclusion, Observable stands out as a unique tool within the data visualization landscape, appreciated for its capabilities and modularity but requiring a robust understanding and willingness to engage with its reactive model. While it may not fit every use case or budget, it remains a preferred choice for many who value its live interactive features and community-driven innovations.
Do you know an article comparing Observable to other products?
Suggest a link to a post with product alternatives.
Is Observable good? This is an informative page that will help you find out. Moreover, you can review and discuss Observable here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
