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Chart.js VS Blazer

Compare Chart.js VS Blazer and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Chart.js logo Chart.js

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

Blazer logo Blazer

Open source business intelligence tool.
  • Chart.js Landing page
    Landing page //
    2023-03-13
  • Blazer Landing page
    Landing page //
    2022-11-03

Chart.js videos

+ Add

1.3: Graphing with Chart.js - Working With Data & APIs in JavaScript

More videos:

  • Tutorial - How to Build Ionic 4 Apps with Chart.js

Blazer videos

+ Add

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 Chart.js and Blazer)

Chart.js

Blazer

Charting Libraries
100 100%
Charting Libraries
0% 0
Business Intelligence
0 0%
Business Intelligence
100% 100
Data Visualization
93 93%
Data Visualization
7% 7
Data Dashboard
89 89%
Data Dashboard
11% 11

User comments

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Reviews

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

Chart.js Reviews

6 JavaScript Charting Libraries for Powerful Data Visualizations in 2023
Of the free libraries on this list, ECharts has the widest range of chart types available, second only to D3. Unlike D3, ECharts also ranks highly on the user-friendliness scale, although some users find ApexCharts and Chart.js even easier to use. You can check out some examples of basic charts on ECharts.
Source: embeddable.com
5 top picks for JavaScript chart libraries
Chart.js is a chart library that is available as a client-side JavaScript package. There are also derivatives for other frontend frameworks, like React, Vue, and Angular. It displays the chart on an HTML canvas element.
Source: blog.logrocket.com
Top 10 JavaScript Charting Libraries for Every Data Visualization Need
Chart.js is a simple yet quite flexible JavaScript library for data viz, popular among web designers and developers. It’s a great basic solution for those who don’t need lots of chart types and customization features but want their charts to look neat, clear and informative at a glance.
Source: hackernoon.com
A Complete Overview of the Best Data Visualization Tools
Chart.js uses HTML5 Canvas for output, so it renders charts well across all modern browsers. Charts created are also responsive, so it’s great for creating visualizations that are mobile-friendly.
Source: www.toptal.com
The Best Data Visualization Tools - Top 30 BI Software
Chart.js is better for smaller chart projects. It’s open source and small in size, supporting six different types of charts: bar, line, pie, radar, doughnut, and polar. You can also add or remove any of these 6 types to reduce your footprint. Chart.js uses HTML5 Canvas and ships with polyfills for IE6/7 support. Chart.js offers the ability to create simple charts quickly.
Source: improvado.io

Blazer Reviews

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

Social recommendations and mentions

Based on our record, Blazer seems to be a lot more popular than Chart.js. While we know about 11 links to Blazer, we've tracked only 1 mention of Chart.js. 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.

Chart.js mentions (1)

  • Chart library for Svelte?
    Https://chartjs.org works well, but you have to call the update function yourself if you want to do some reactive updates. Source: about 3 years ago

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 / 4 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: 12 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 / about 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 / about 2 years ago
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What are some alternatives?

When comparing Chart.js and Blazer, you can also consider the following products

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.

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

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

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.

Plotly - Low-Code Data Apps

Evidence.dev - Evidence enables analysts to build a trusted, version-controlled reporting system by writing SQL and markdown. Evidence reports are publication-quality, highly customizable, and fit for human consumption.

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