Self-Host Weekly #146: Survey Says
#Survey results, software updates and launches, a spotlight on #Zerobyte -- a streamlined backup tool, and more in this week's #selfhosted recap!
https://selfh.st/weekly/2025-11-21/
#selfhost #selfhosting #opensource #foss #homelab #homeserver #development #privacy #security #fediverse #app #apps #software #newsletter #results #chartjs
Оживляем данные Strava: от парсинга GPX до интерактивной карты на Python и JS
Привет, Хабр! Меня зовут Александр, я разработчик и, как многие в IT, стараюсь уравновешивать сидячую работу спортом — в моем случае, это велосипед и бег. И, как многие спортсмены-любители, я пользуюсь Strava. В этой статье я хочу провести вас «под капот» моего проекта и показать на реальных фрагментах кода, как с помощью Python, щепотки NumPy и капли JavaScript можно построить собственный мощный инструмент для анализа спортивных данных. Это история не только про код, но и про философию открытых данных и желание сделать профессиональные инструменты доступными для всех.
https://habr.com/ru/articles/925262/
#strava #python #fastapi #gpx #numpy #chartjs #визуализация_данных #графики #leaflet #petproject
📊📈 We’ve released the “Chart.js Wrapper for Vaadin” – an #opensource component to integrate Chart.js charts in Vaadin apps. Supports Chart.js v4, async data loading and dark mode.
Check our Github Repo or https://xdev.software/news
Unity Demo - Immersed MR (2 of 2)
Unity Demo - Immersed MR (1 of 2)
Supercharge your Odoo18 Dashboard OWL skills! Master reactive sales dashboards with OWL, Chart.js, and ORM data. Step-by-step guide includes templates, JS component, and CSS. #Odoo #OWL #Dashboard #ChartJS #WebDev
https://teguhteja.id/odoo18-dashboard-owl-sales-dashboard-tutorial/
Master Chart.js Y-axis Zero challenges! Learn techniques for handling negative data & ensuring accurate visualizations. #ChartJS #DataViz #YAxis #DataVisualization #WebDev #JavaScript
https://tech-champion.com/data-science/chart-js-y-axis-always-starts-at-zero-handling-negative-data
🪧 Adding chart.js to Hugo: Let's find out how to add chart.js to your static website built with Hugo.
https://kmcd.dev/posts/hugo-chartjs/
#hugo #chartjs #static-websites #blog
All our charts are now powered by Chart.js, a charting library that's open source (like Lichess). It is used on rating charts, analysis graphs, the lag gauge, and more. Previously, we were reluctantly using a closed source library. Many thanks to the Lichess user ItsGam3Tyme for this great contribution!
Cet été j'ai découvert de nouveaux logiciels libres, j'en ai fait un billet de blog:
https://adorsaz.ch/articles/decouvertes-logiciels-libres-ete-2023.html
J'ai pu travailler pour des applications web qui affichent des données scientifiques dans des graphes liés à des cartes.
#vuejs #openlayers #chartjs #nouislider #postgres #postgis #nodejs
PS: Les réponses ici apparaitront comme commentaire sous l'article.
Any #ChartJS guru's out there any thoughts on how to solve this - https://stackoverflow.com/q/77413161/1569675?
Very random question... Does anyone know of a working Packed.Circle solution for #ChartJS? Could be a full plugin, or just an algorithm that handles scaling the circles so they fit within bounds with no overlap (ideally with a center of gravity in the middle) and I can feed the x,y,r values into the existing ChartJS bubble chart. My use case will be 10-20 circles, radii 1-200 (pre-scaling) on a canvas 400x400 (though everything is variable of course!).
I'm Ben Carneiro AKA Tony Deals
I like #bikes #cycling #walking around #cities. I'm into #urbanism #density #walkability #bikelanes #publictransit #buses #trains
I'm a #python engineer. I use #django #pandas #react #osm #recharts #chartjs #linux
I post chicken #parm, sometimes I post #transit #maps and #charts, and sometimes I just #shitpost to make the pain go away.
I maintain journo-robots for #austin
Founder of https://transit.observer
Are you interested in international genetic sequence #datasharing, animated charts and #ChartJS? If yes, check out my new blog. Also, given the likely intersection of these interests, you are probably me.
https://alhufton.com/exploring-the-international-sharing-of-genetic-sequence-across-time/
Hmmm, what to do? I'm refactoring a webapp of mine kicking out all the old frontend stuff, but aim to keep the build tooling to a minimal. Will be going with #Tailwindcss, so that requires Node (which is fine).
But for the #javascript parts, which will be libraries such as #htmx and #hyperscript, but also #chartjs and some others. Will I add #ESBuild to handle this, use unpkg (don't want to depend on a CDN) or manually download and link in my project?
Here's where I'm at with this "Time to first response" chart.
It hits the initial design, and I like it.
There's somewhat of an answer to the "So what?" question, which was the goal: when there's too much going on above the goal for too long, especially the average, it's time to revisit the commitments and support processes.
Next week I'm starting on a new chart. Also for operators.
#BuildInPublic #RubyOnRails #WIP #dataviz #stimulusjs #chartjs
using #chartjs to render charts in the browser in a #Laravel PHP app. now I want to email those charts once per week. pondering to call #NodeJS from #PHP to render the images. aim is to keep code duplication and logic running in NodeJs to a minimum while being the least hacky. maybe just use https://quickchart.io though weary of adding another vendor to the mix.
What do you guys all think of the second chart below?
Does the second headline make it clear?
Does the lack of dates below the second chart create a lingering hesitation?
