Side-by-Side Comparison
TritonAscendBench vs project-based-learning
Compare open source repositories side by side. Stars, forks, code health, licensing, and community growth.
Recorded Stars Comparison
● Gxj230958/TritonAscendBench (120)
● practical-tutorials/project-based-learning (288.5K)
☆ 120TritonAscendBench stars
☆ 288.5Kproject-based-learning stars
+288.4KDifference
project-based-learningStar Leader (2404.5x)
⚖️ Comparison Verdict
Star Popularity
project-based-learning Leads
+288.4K stars (2404.5x ratio)
Forks & Derivatives
project-based-learning Leads
36.8K total community forks
Recent Maintenance
project-based-learning
Pushed 7d ago
Licensing
Different
TritonAscendBench: Apache-2.0 vs project-based-learning: MIT
Side-by-Side Facts
| Metric | Gxj230958/TritonAscendBench ↗ | practical-tutorials/project-based-learning ↗ |
|---|---|---|
| Description | A migration benchmark that measures whether production GPU Triton kernels — extracted from vLLM and SGLang inference paths — can be ported to the Huawei Ascend 910B (Atlas A2) via `triton-ascend` without losing correctness or performance. | Curated list of project-based tutorials |
| GitHub Stars | ☆ 120 | ☆ 288,538 |
| Forks | 0 | 36,767 |
| Open Issues | 1 | 237 |
| Main Language | Python | Python |
| License | Apache-2.0 | MIT |
| Last Push | Oct 15, 2026 | Oct 26, 2026 |
| GitHub Source | Open Source ↗ | Open Source ↗ |
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