
When choosing a tool (especially an open-source one) to use, what's your thought process? What are the factors that matter to you?
Here's one obvious metric I'm sure you will also investigate: its GitHub stars.
You can't fully trust a project's GitHub stars alone. It is, however, a good way to determine if a tool is an adequate one and if it's likely to grow, if you use it correctly.
Even if a project has hundreds of millions of stars now, doesn't mean that it's still gaining popularity or maintained. Or if the project had an explosive breakout in the past? There's no way of knowing these simply from gazing at the stars count. Here's when Star History comes in handy: it shows how the number of GitHub stars of a project is increasing over the years. And - it's free and open-source.

To add a repo, type in the search bar and click View star history. Three input formats are supported:
https://github.com/star-history/star-historystar-history/star-historystar-historyFor something like hashicorp/terraform, you need to specify the full hashicorp/terraform since the org and repo names don't match.
You can also paste multiple repos at once, separated by commas.
After adding one repo, continue typing the next repo in the input box. They will all be rendered in the same chart.

Each repo appears as a pill-shaped badge below the input. You can:
Check Align timeline above the chart to switch from calendar time (Date mode) to days-since-first-star (Timeline mode). This lets you compare the growth trajectories of repos that started at different times.

Check Log scale to switch the Y-axis to logarithmic scale. This is useful when comparing repos with vastly different star counts โ it makes it easier to see growth patterns across different magnitudes.
Use the Legend radio buttons to place the legend at Top left (default) or Bottom right, depending on where the chart lines are.
Below the chart, you'll find these action buttons:
Star History reads star data from the GitHub API. Since GitHub restricted the stargazers endpoint (July 2026) to a repository's own admins and collaborators, star history is now only available for repos you own or collaborate on โ and you'll need an access token that can read them. A token also raises your API rate limit.
Choose one:
Fine-grained token โ least access, but a single owner. A fine-grained token is scoped to one account or org โ it cannot read repos across different orgs. Best when your chart only covers repos under a single owner:
Classic token โ works across orgs. Covers every repo you own or collaborate on in any org, all with a single token โ so this is the one to use when a chart mixes repos from different orgs. It grants broader write access to your public repos, so treat it with care:
public_repo.Charting repos from different orgs in one view? A fine-grained token only reaches a single owner, so use a classic token โ for example, plotting
bytebase/bytebaseandstar-history/star-historytogether requires one.
Then, on star-history.com, click Add access token in the header, paste your token, and hit Save.
Your token is stored only in your browser's local storage โ it is never sent to Star History servers.
Tokens with no scopes no longer work โ not even for your own repositories. If you created one before, replace it using one of the options above.
The Show real-time chart on your README.md section below the chart generates a live chart image for your README. Since GitHub restricts star data to a repo's admins and collaborators, you supply a token that can read the repo:
Each time your README is viewed, our server decrypts the token in memory to read your stars, then discards it โ never stored, never logged.
The embed keeps your current chart settings and re-renders with the latest stars on each view.
We also have a Chrome extension. Install it, then go to any GitHub repo and click the extension icon โ a star history chart will pop up right there.
Play around and let us know @StarHistoryHQ what you think!