5 ms·
They place an emphasis on Github star count, but that is a terrible usage metric. Leaf got a lot of stars because it got a lot of HN exposure, but at the same t
by fchollet 10y ago
They place an emphasis on Github star count, but that is a terrible usage metric. Leaf got a lot of stars because it got a lot of HN exposure, but at the same time Leaf had no users. Assumedly that's the real reason why they are stopping development.
Here are the metrics that matter.
Over the lifetime of the project:
- 14 contributors
- 40 issues opened
- 161 forks
In the past month:
- 7 issues opened
- 6 PRs opened
In the past week:
- 0 issues opened
- 0 PRs opened
In other words, a ghost town. The lesson here is that a lot of HN exposure does not automatically convert into a lot of users.
- mjhirn 10y agoYes, we had trouble to attract the right community and convert the stars into recurrent contributions, as there was less overlap between the Rust and the general ML community than we anticipated. This bothered us a lot and played a role in our decision to suspend Leaf.