I've been building a small dashboard to track my freelance project metrics—things like task completion rates and hours logged. I used Flask for the backend and Chart.js for the visuals. Here's a simple example of how I set up a real-time updating chart:
javascript
const ctx = document.getElementById('myChart').getContext('2d');
const myChart = new Chart(ctx, {
type: 'line',
data: {
labels: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri'],
datasets: [{
label: 'Hours Worked',
data: [5, 7, 6, 8, 4],
borderColor: 'rgba(75, 192, 192, 1)',
borderWidth: 2
}]
},
options: {
animation: false,
scales: {
y: { beginAtZero: true }
}
}
});
setInterval(() => {
fetch('/api/hours')
.then(response => response.json())
.then(data => {
myChart.data.datasets[0].data = data;
myChart.update();
});
}, 5000);
It's not production-ready but works for my needs. If you want to build something similar without reinventing the wheel, tools like SERPSpur's data visualization API can help. How do you track your freelance metrics?Social Strategy Builder
https://serpspur.com/
Top comments (1)
Nice implementation! I like the simplicity of polling every 5 seconds for real-time updates. Have you considered switching to WebSockets or SSE for a more efficient data push when you scale? I track my metrics with a similar Flask + Chart.js stack but use Redis for caching hourly aggregates.