How fast tabulai/mlx-learn is gaining stars, and where it lands on Trendshift and GitHub Trending
Activity and trending
Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending
Oct 31 – Nov 5, 2026
Stars +34in 6 days
01020
16
Forks +1in 6 days
01
1
Merged PRs 3in 6 days
012
2
Trendshift Trendingwhere the repository ranked each day it made the top 25
Not in the Trendshift top 25 in this period
Oct 31Nov 1Nov 2Nov 3Nov 4Nov 5
The left and right arrow keys step from day to day; Home and End go to the first and the last
Stars, forks, merged pull requests and Trendshift Trending rank, by day
Day
Stars gained
Forks gained
Merged PRs
Sat, Oct 31, 2026
+0
+0
2
Sun, Nov 1, 2026
+0
+0
1
Mon, Nov 2, 2026
+15
+1
0
Tue, Nov 3, 2026
+16
+0
0
Wed, Nov 4, 2026
+3
+0
0
Thu, Nov 5, 2026
+0
+0
0
Total
+34
+1
3
1#1 on the list
7Rank that day
Not trending
Social mentions
Recent discussions about this repository across the web
1 post
SVC delivers the biggest gains in those benchmarks: • Up to 29.5× faster training with a 2 GB kernel cache • Up to 298× faster prediction Accuracy matches or closely matches scikit-learn across all…
Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.
