cfahlgren1's picture
cfahlgren1 HF staff
add allenai
2c4b215
raw
history blame
5 kB
import React, { useState, useEffect } from 'react';
import ActivityCalendar from "react-activity-calendar";
import { Tooltip } from '@mui/material';
const PROVIDERS_MAP = {
"Mistral AI": { color: "#ff7000", authors: ["mistralai"] },
"Meta": { color: "#1877F2", authors: ["facebook", "meta-llama"] },
"OpenAI": { color: "#10A37F", authors: ["openai"] },
"Anthropic": { color: "#cc785c", authors: ["anthropic"] },
"Google": { color: "#DB4437", authors: ["google"] },
"Allen Institute for AI": { color: "#5E35B1", authors: ["allenai"] }
};
interface ModelData {
createdAt: string;
id: string;
}
interface Activity {
date: string;
count: number;
level: number;
}
export default function OpenSourceHeatmap() {
const [calendarData, setCalendarData] = useState<Record<string, Activity[]>>({});
const [isLoading, setIsLoading] = useState(true);
const generateCalendarData = (modelData: ModelData[]) => {
const data: Record<string, Activity[]> = Object.fromEntries(
Object.keys(PROVIDERS_MAP).map(provider => [provider, []])
);
const today = new Date();
const startDate = new Date(today);
startDate.setMonth(today.getMonth() - 11);
startDate.setDate(1);
for (let d = new Date(startDate); d <= today; d.setDate(d.getDate() + 1)) {
const dateString = d.toISOString().split('T')[0];
Object.entries(PROVIDERS_MAP).forEach(([provider, { authors }]) => {
const count = modelData.filter(item =>
item.createdAt.startsWith(dateString) &&
authors.some(author => item.id.startsWith(author))
).length;
data[provider].push({ date: dateString, count, level: 0 });
});
}
// calculate average counts for each provider
const avgCounts = Object.fromEntries(
Object.entries(data).map(([provider, days]) => [
provider,
days.reduce((sum, day) => sum + day.count, 0) / days.length || 0
])
);
// assign levels based on count relative to average
Object.entries(data).forEach(([provider, days]) => {
const avgCount = avgCounts[provider];
days.forEach(day => {
day.level =
day.count === 0 ? 0 :
day.count <= avgCount * 0.5 ? 1 :
day.count <= avgCount ? 2 :
day.count <= avgCount * 1.5 ? 3 : 4;
});
});
return data;
}
const initData = async () => {
try {
const allAuthors = Object.values(PROVIDERS_MAP).flatMap(({ authors }) => authors);
const uniqueAuthors = Array.from(new Set(allAuthors));
const allModelData = await Promise.all(
uniqueAuthors.map(async (author) => {
const response = await fetch(`https://huggingface.co/api/models?author=${author}&sort=createdAt&direction=-1`);
const data = await response.json();
return data.map((item: any) => ({
createdAt: item.createdAt,
id: item.id,
}));
})
);
const flatModelData = allModelData.flat();
const calendarData = generateCalendarData(flatModelData);
setCalendarData(calendarData);
} catch (error) {
console.error("Error fetching data:", error);
} finally {
setIsLoading(false);
}
}
useEffect(() => {
initData();
}, []);
return (
<div className="w-full max-w-screen-lg mx-auto p-4">
<h1 className="text-3xl lg:text-5xl mt-16 font-bold text-center mb-2">Open Source Heatmap</h1>
<p className="text-center text-sm mb-8">A heatmap for open source model releases.</p>
{isLoading ? (
<p className="text-center">Loading...</p>
) : (
<div className="space-y-8 mx-10">
{Object.entries(PROVIDERS_MAP)
.sort(([keyA], [keyB]) =>
calendarData[keyB].reduce((sum, day) => sum + day.count, 0) -
calendarData[keyA].reduce((sum, day) => sum + day.count, 0)
)
.map(([providerName, { color }]) => (
<div key={providerName} className="flex flex-col">
<h2 className="text-xl font-bold mb-2">{providerName}</h2>
<div className="w-full overflow-x-auto">
<div className="inline-block mx-auto">
<ActivityCalendar
data={calendarData[providerName]}
theme={{
dark: ['#161b22', color],
light: ['#e0e0e0', color],
}}
hideTotalCount
renderBlock={(block, activity) => (
<Tooltip
title={`${activity.count} models created on ${activity.date}`}
arrow
>
{block}
</Tooltip>
)}
/>
</div>
</div>
</div>
))
}
</div>
)}
</div>
);
}