owid-grapher VS framework

Compare owid-grapher vs framework and see what are their differences.

owid-grapher

A platform for creating interactive data visualizations (by owid)

framework

A static site generator for data apps, dashboards, reports, and more. Observable Framework combines JavaScript on the front-end for interactive graphics with any language on the back-end for data analysis. (by observablehq)
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owid-grapher framework
198 9
1,320 1,836
1.0% 7.5%
10.0 9.9
5 days ago 3 days ago
TypeScript TypeScript
MIT License ISC License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

owid-grapher

Posts with mentions or reviews of owid-grapher. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-15.

framework

Posts with mentions or reviews of framework. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-03.
  • Observable Framework – The best dashboards are built with code
    1 project | news.ycombinator.com | 6 Mar 2024
    1 project | news.ycombinator.com | 3 Mar 2024
  • Observable Framework 1.1
    1 project | news.ycombinator.com | 5 Mar 2024
  • Interesting Ideas in Observable Framework
    5 projects | news.ycombinator.com | 3 Mar 2024
    Thanks for the feedback. We have a PR open to make it easier to register new interpreters (without needing to fallback to .sh or .exe); it’ll let you specify the interpreter associated with a given file extension (e.g., .kts for Kotlin). https://github.com/observablehq/framework/pull/935

    As for inputs-driving-data-loaders, that does go against the grain a bit since Framework favors static data snapshots so that the built site is self-contained and performant. But a technique that works well is to generate Parquet files in data loaders representing the superset of data that you want to interact with, and then using DuckDB/SQL in the client to extract the subset you want to visualize. This tends to perform well, though obviously it’s dependent on the size of the superset you want to interact with.

  • Observable Framework: A static site generator for data apps, dashboards, reports
    1 project | news.ycombinator.com | 15 Feb 2024
  • Observable 2.0, a static site generator for data apps
    17 projects | news.ycombinator.com | 15 Feb 2024
    From the Observable Framework point of view, you’re very welcome to use Apache ECharts or any other library instead of Observable Plot, since you can import whatever you like and it’s all just JavaScript.

    Since there was a lot of interest in this thread, Mike added a page to the docs with an ECharts example: https://observablehq.com/framework/lib/echarts

    There are two pieces of that example code specific to Framework: the html`` tagged template literal creates a DOM element (see https://github.com/observablehq/htl, also usable outside Framework), and the display function inserts it into the document above the code block (see https://observablehq.com/framework/javascript/display). Note that, whereas Observable Plot takes an options object and returns a DOM element, ECharts instead takes a DOM element and mutates it — but in general they should be equally easy to use in Framework.

    Like Plot (and Vega-Lite, another great option), ECharts is also now one of Framework’s built-in “recommended libraries” (see https://observablehq.com/framework/javascript/imports#implic...), meaning that if you reference `echarts` Framework will lazy-load it for you. Adding that was a two-line diff: https://github.com/observablehq/framework/pull/811/files#dif.... But I wanna emphasize that Framework doesn’t have to explicitly “support” a given library for you to use it. “Supporting” in this case just means the convenience of saving you a one-line import statement. But don’t wait for our blessing!! Use whatever.

What are some alternatives?

When comparing owid-grapher and framework you can also consider the following projects:

seaborn - Statistical data visualization in Python

evidence - Business intelligence as code: build fast, interactive data visualizations in pure SQL and markdown

plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

dataflow - An experimental self-hosted Observable notebook editor, with support for FileAttachments, Secrets, custom standard libraries, and more!

prettymaps - A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

obsplot - Observable Plot bindings for R

nexe - 🎉 create a single executable out of your node.js apps

datasette-dashboards - Datasette plugin providing data dashboards from metadata

abstreet - Transportation planning and traffic simulation software for creating cities friendlier to walking, biking, and public transit

opendata.cern.ch - Source code for the CERN Open Data portal

deno - A modern runtime for JavaScript and TypeScript.

pyobsplot - Observable Plot in Jupyter notebooks and Quarto documents