Popularity Metrics Explained
This page explains the key popularity metrics tracked by LFX Insights. These indicators help you understand how widely adopted and talked-about an open source project is across the web and developer ecosystem.
Stars
What it is: The number of stars a project has received on GitHub.
Why it matters: Stars are a quick way for users to express interest. A high star count suggests broad awareness and community appreciation.
Forks
What it is: The number of times a project has been forked on GitHub.
Why it matters: Forks often indicate developer interest in modifying, contributing to, or building on top of a project.
Social Mentions
Coming soon.
What it is: Mentions of the project across platforms like Twitter/X, Reddit, Hacker News, and other social media.
Why it matters: Social mentions show real-time buzz and community conversations, signaling current relevance and visibility.
GitHub Mentions
Coming soon.
What it is: References to the project repository in issues, pull requests, and READMEs on GitHub.
Why it matters: Frequent GitHub mentions show that developers are integrating or referencing the project in their workflows and codebases.
Press Mentions
Coming soon.
What it is: The number of times the project is mentioned in online news outlets, blogs, and tech media.
Why it matters: Press mentions reflect broader industry attention and can drive credibility and adoption beyond the developer community.
Search Queries
Coming soon.
What it is: The volume of search engine queries for the project name or related terms.
Why it matters: Search trends indicate public interest and awareness. A rising number of queries often correlates with growing adoption.
Package Downloads
Coming soon.
What it is: The number of downloads from package registries (e.g., npm, PyPI, Docker Hub) where the project is distributed.
Why it matters: Downloads are a strong signal of real-world usage and adoption.
Mailing List Messages
This metric is only available for selected projects of the Linux Foundation.
What it is: The number of messages exchanged on the project’s public mailing lists.
Why it matters: Mailing list activity reflects the depth and frequency of technical discussions, support requests, and community coordination.