DSQ VS D3.js
Compare DSQ VS D3.js and see what are their differences
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
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DSQ
Steampipe
Superintendent.app
CloudYali.io
AWS Config
OctoSQL
fzf
The Silver Searcher
D3.js
Chart.js
Plotly
Highcharts
Google Charts
AnyChart
Pixi.js
RAWGraphs
D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. For example, you can use D3 to generate an HTML table from an array of numbers. Or, use the same data to create an interactive SVG bar chart with smooth transitions and interaction.
D3 is not a monolithic framework that seeks to provide every conceivable feature. Instead, D3 solves the crux of the problem: efficient manipulation of documents based on data. This avoids proprietary representation and affords extraordinary flexibility, exposing the full capabilities of web standards such as HTML, SVG, and CSS. With minimal overhead, D3 is extremely fast, supporting large datasets and dynamic behaviors for interaction and animation. D3’s functional style allows code reuse through a diverse collection of official and community-developed modules.
DSQBased on our record, D3.js seems to be a lot more popular than DSQ. While we know about 160 links to D3.js, we've tracked only 11 mentions of DSQ. 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.
You might want to look at tsv-utils, or a similar project: https://github.com/eBay/tsv-utils (No longer maintained, but has links to lots of other projects). - Source: Hacker News / 7 months ago
SPyQL is really cool and its design is very smart, with it being able to leverage normal Python functions! As far as similar tools go, I recommend taking a look at DataFusion[0], dsq[1], and OctoSQL[2]. DataFusion is a very (very very) fast command-line SQL engine but with limited support for data formats. Dsq is based on SQLite which means it has to load data into SQLite first, but then gives you the whole breath... - Source: Hacker News / over 1 year ago
> dsq registers go-sqlite3-stdlib so you get access to numerous statistics, url, math, string, and regexp functions that aren't part of the SQLite base. (https://github.com/multiprocessio/dsq#standard-library) Ah, I wondered if they rolled their own SQL parser, but no, I now see the sqlite.go in the repo and all is made clear. - Source: Hacker News / over 1 year ago
I am currently evaluating dsq and its partner desktop app DataStation. AIUI, the developer of DataStation realised that it would be useful to extract the underlying pieces into a standalone CLI, so they both support the same range of sources. Dsq CLI - https://github.com/multiprocessio/dsq. - Source: Hacker News / over 1 year ago
This is a cool project! But if you query Excel and ODS files with dsq you get the same thing plus a growing standard library of functions that don't come built into SQLite such as best-effort date parsing, URL parsing/extraction, statistical aggregation functions, math functions, string and regex helpers, hashing functions and so on [1]. [0] https://github.com/multiprocessio/dsq [1]... - Source: Hacker News / almost 2 years ago
Interactive User Interface: Developing an interactive UI for visualizing the graph and its communities could make the summarization process more intuitive. Tools like D3.js or Cytoscape.js can be used to create dynamic visualizations. - Source: dev.to / 10 days ago
Yes this was done with a combination of GSAP Scrolltrigger https://gsap.com/docs/v3/Plugins/ScrollTrigger/ and https://d3js.org/. - Source: Hacker News / about 1 month ago
d3 - very power visualization library enabling dynamic visualizations. docs. - Source: dev.to / 2 months ago
Yep, Evidence is doing good work. We were most directly inspired by VitePress; we spent months rewriting both D3’s docs (https://d3js.org) and Observable Plot’s docs (https://observablehq.com/plot) in VitePress, and absolutely loved the experience. But we wanted a tool focused on data apps, dashboards, reports — observability and business intelligence use cases rather than documentation. Compared to Evidence, I’d... - Source: Hacker News / 3 months ago
They are images so it could be any number of things, datawrapper, charts.js, d3.js to name a few options. Source: 6 months ago
Steampipe - Steampipe: select * from cloud; The extensible SQL interface to your favorite cloud APIs select * from AWS, Azure, GCP, Github, Slack etc.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Superintendent.app - Superintendent.app is a Desktop app that enables you to write SQL on CSV files.
Plotly - Low-Code Data Apps
CloudYali.io - CoPilot for your cloud teams, your cloud in a single window.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application