The end-to-end solution for building and hosting better data apps, dashboards, and reports.
f = d3.utcFormat("%B %d")
data = {
const S = [];
yield S;
let pages = await fetch(`https://api.github.com/repos/${repo}/stargazers?per_page=100`, {
headers: {
...token && { Authorization: `token ${token}` },
accept: "application/vnd.github.v3.star+json" // necessary to get the starred_at field
}
}).then(d => [...d.headers].find(d => d[0] === "link")?.[1].split(/,/).pop().match(/&page=(\d+)/)?.[1] || 1);
mutable msg = `${pages} pages to load…`
for (const page of new Set([1, +pages].concat(d3.shuffle(d3.range(2, +pages))))) {
const s = await fetch(`https://api.github.com/repos/${repo}/stargazers?per_page=100&page=${page}`, {
headers: {
...token && { Authorization: `token ${token}` },
accept: "application/vnd.github.v3.star+json" // necessary to get the starred_at field
}
})
.catch(() => false) // network error, API limit
.then(d => d.json ? d.json() : false);
// error?
if (!s) return;
if (s.message) return mutable msg = s.message;
mutable msg = `${--pages} pages to load…`
s.forEach((u, i) => {
S.push({
login: u.user.login,
id: u.user.id,
date: new Date(u.starred_at),
count: 100 * (page - 1) + i + 1,
repo
});
});
S.sort((a, b) => a.count - b.count);
yield S;
await Promises.delay(150);
}
yield S;
}
events = repo === "observablehq/plot"
? [
{
date: new Date("2021-05-04"),
text: "Plot 0.1\nreleased",
count: 1300
},
{
date: new Date("2021-08-20"),
text: "Plot 0.2",
count: 1450
},
{
date: new Date("2021-12-04"),
text: "Plot 0.3",
count: 1650
},
{
date: new Date("2022-01-20"),
text: "Plot 0.4",
count: 1750
},
{
date: new Date("2022-06-07"),
text: "Plot 0.5",
count: 2050
},
{
date: new Date("2022-09-07"),
text: "Plot 0.6",
count: 2180
},
{
date: new Date("2022-12-12"),
text: "Plot 0.6.1",
count: 2450
},
{
date: new Date("2023-03-01"),
text: "Plot 0.6.4",
count: 2700
},
{
date: new Date("2023-04-26"),
text: "Plot 0.6.6",
count: 2950
},
{
date: new Date("2023-12-13"),
text: "Plot 0.6.13",
count: 3600
},
{
date: new Date("2024-02-15"),
text: "Framework 1.0\nreleased",
count: 3870
}
]
: []
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.