Software Alternatives & Reviews

Observable VS Blazer

Compare Observable VS Blazer and see what are their differences

Observable logo Observable

Interactive code examples/posts

Blazer logo Blazer

Open source business intelligence tool.
  • Observable Landing page
    Landing page //
    2023-10-09
  • Blazer Landing page
    Landing page //
    2022-11-03

Observable videos

Observable Overview

More videos:

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

Blazer videos

2019 Chevrolet Blazer – Review & Road Test

More videos:

  • Review - The 2020 Chevy Blazer RS is the Camaro SUV
  • Review - 2021 Chevy Blazer RS - Review - I LOVE this SUV! 😍

Category Popularity

0-100% (relative to Observable and Blazer)
Data Visualization
92 92%
8% 8
Business Intelligence
0 0%
100% 100
Data Dashboard
82 82%
18% 18
Data Science And Machine Learning

User comments

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Reviews

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

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

Blazer Reviews

We have no reviews of Blazer yet.
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Social recommendations and mentions

Based on our record, Observable seems to be a lot more popular than Blazer. While we know about 286 links to Observable, we've tracked only 11 mentions of Blazer. 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.

Observable mentions (286)

  • I'm writing a new vector search SQLite Extension
    Could this be implemented in Rust? Does that project (sqlite-loadable-rs) support WASM? https://observablehq.com/@asg017/introducing-sqlite-loadable-rs. - Source: Hacker News / 10 days ago
  • Show HN: An extension to track your Wikipedia adventures
    Have you tried out a tangled-tree visualization? [1] I've found it to be super useful when visualizing these sorts of relationships in a compact way. [1] https://observablehq.com/@nitaku/tangled-tree-visualization-ii. - Source: Hacker News / 10 days ago
  • A feature-rich front-end drag-and-drop component library
    Maybe I'm easy to impress, but I always stop and play around with the nested tree example when I come across Sortable. It works so flawlessly, and feels very tuned to mobile dnd. It even works to arrange (and reflow) inline spans in a paragraph! I have yet to come across this functionality in a text editor.. [0]: https://observablehq.com/@dleeftink/sortable-playground. - Source: Hacker News / 18 days ago
  • Parquet-WASM: Rust-based WebAssembly bindings to read and write Parquet data
    Arrow JS is just ArrayBuffers underneath. You do want to amortize some operations to avoid unnecessary conversions. I.e. Arrow JS stores strings as UTF-8, but native JS strings are UTF-16 I believe. Arrow is especially powerful across the WASM <--> JS boundary! In fact, I wrote a library to interpret Arrow from Wasm memory into JS without any copies [0]. (Motivating blog post [1]) [0]:... - Source: Hacker News / 20 days ago
  • A flat map with the least error possible: The Gott-Goldberg-Vanderbei projection
    Here’s the D3 implementation (which is just an interrupted azimuthal equidistant projection): https://observablehq.com/@d3/azimuthal-equidistant-hemispheres. - Source: Hacker News / 21 days ago
View more

Blazer mentions (11)

  • Is Tableau Dead?
    I try to avoid these tools wherever possible, given the choice I'd always go for tools like Blazer. https://github.com/ankane/blazer No such luck in my current role, Looker and PowerBI are both in use by different bits of the org and nobody has the ability to delve into the underlying figures. - Source: Hacker News / 3 months ago
  • BI vs custom queries in app
    As u/jaxn said you could use Blazer for this kind of thing. I would also look into materialized views or custom tables and a scheduled job that calculates the metrics they care about. That will take you a long way. Eventually you can use something like Metabase but I would put that off for as long as possible as it's really expensive and pretty involved. Source: 11 months ago
  • Evidence – Business Intelligence as Code
    And it's Open Source: https://github.com/evidence-dev/evidence if you are into the Ruby on Rails world. It's super solid, and it's been an indispensable tool integrated to all my projects. - Source: Hacker News / about 1 year ago
  • Italian watchdog bans use of Google Analytics
    I use Ahoy too, but I don't have very good visibility into the data. I should spend more time building queries and creating charts. I should probably set up blazer as well: https://github.com/ankane/blazer. - Source: Hacker News / almost 2 years ago
  • Using Scientist to Refactor Critical Ruby on Rails Code
    The Blazer gem provides a nice way to analyze the results easily. It is simple to install and allows SQL queries to run against tables. The query here shows that the candidate implementation is significantly faster than the original. - Source: dev.to / almost 2 years ago
View more

What are some alternatives?

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

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

Metabase - Metabase is the easy, open source way for everyone in your company to ask questions and learn from...

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.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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.

Chartbrew - Create interactive dashboards and reports from your databases, APIs, and 3rd party services. Supporting MySQL, Postgres, MongoDB, Firestore, Customer.io, and more. Chartbrew is 100% open source and can be self-hosted for free.