Software Alternatives, Accelerators & Startups

Hamilton VS Observable

Compare Hamilton VS Observable 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.

Hamilton logo Hamilton

A scalable general purpose micro-framework for defining dataflows. You can use it to build dataframes, numpy matrices, python objects, ML models, etc. Embed Hamilton anywhere python runs, e.g. spar...

Observable logo Observable

Interactive code examples/posts
  • Hamilton Landing page
    Landing page //
    2023-09-21
  • Observable Landing page
    Landing page //
    2023-10-09

Hamilton 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.

Hamilton videos

No Hamilton videos yet. You could help us improve this page by suggesting one.

Add video

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 Hamilton and Observable)
Application And Data
100 100%
0% 0
Data Visualization
0 0%
100% 100
Web Frameworks
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

Share your experience with using Hamilton 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 Hamilton and Observable

Hamilton Reviews

We have no reviews of Hamilton 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 Hamilton. While we know about 313 links to Observable, we've tracked only 7 mentions of Hamilton. 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.

Hamilton mentions (7)

  • Greppability is an underrated code metric
    Yep. When I was designing https://github.com/dagworks-inc/hamilton part of the idea was to make it easy to understand what and where. That is, enable one to grep for function definitions and their downstream use easily, and where people can't screw this up. You'd be surprised how easy it is to make a code base where grep doesn't help you all that much (at... - Source: Hacker News / 9 months ago
  • Ask HN: What are you working on (August 2024)?
    Graph-based libraries for building ML/AI systems: - Burr -- build AI applications/agents as state machines https://github.com/dagworks-inc/burr Looking for feedback -- we had some good initial traction on HN, and are looking for OS users/contributors/people who are building complimentary tooling! - Source: Hacker News / 9 months ago
  • Show HN: Hamilton's UI – observability, lineage, and catalog for data pipelines
    Hey HN – Stefan and Elijah here from DAGWorks (http://dagworks.io/), we’re the authors of Hamilton (https://github.com/dagworks-inc/hamilton), an open-source library for building self-documenting, modular dataflows in python that works for data, ML, LLM pipelines, & even web-workflows. We’ve been developing this UI for a while and we’re excited to say we... - Source: Hacker News / about 1 year ago
  • Using IPython Jupyter Magic commands to improve the notebook experience
    In this post, we’ll show how your team can turn any utility function(s) into reusable IPython Jupyter magics for a better notebook experience. As an example, we’ll use Hamilton, my open source library, to motivate the creation of a magic that facilitates better development ergonomics for using it. You needn’t know what Hamilton is to understand this post. - Source: dev.to / about 1 year ago
  • Free access to beta product I'm building that I'd love feedback on
    This is me. I drive an open source library Hamilton that people doing time-series/ML work love to use. I'm building a paid product around it at DAGWorks, and I'm after feedback on our current version. Can I entice anyone to:. Source: almost 2 years ago
View more

Observable mentions (313)

  • 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 / 11 days 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 / about 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
  • 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 / 4 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 / 4 months ago
View more

What are some alternatives?

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

TypeORM - Node.js ORM written in TypeScript

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.

ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple

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

Hibernate - Hibernate an open source Java persistence framework project.

Vega-Lite - High-level grammar of interactive graphics