Side-by-Side Comparison
mnemosyne vs TransformerEngine
Compare open source repositories side by side. Stars, forks, code health, licensing, and community growth.
Recorded Stars Comparison
● mnemosyne-oss/mnemosyne (3.6K)
● NVIDIA/TransformerEngine (3.6K)
☆ 3.6Kmnemosyne stars
☆ 3.6KTransformerEngine stars
+6Difference
TransformerEngineStar Leader (1.0x)
⚖️ Comparison Verdict
Star Popularity
TransformerEngine Leads
+6 stars (1.0x ratio)
Forks & Derivatives
TransformerEngine Leads
850 total community forks
Recent Maintenance
mnemosyne
Pushed 15h ago
Licensing
Different
mnemosyne: MIT vs TransformerEngine: Apache-2.0
Side-by-Side Facts
| Metric | mnemosyne-oss/mnemosyne ↗ | NVIDIA/TransformerEngine ↗ |
|---|---|---|
| Description | Zero-cloud AI memory that works everywhere. SQLite-backed. One pure-Python dependency. | A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference. |
| GitHub Stars | ☆ 3,563 | ☆ 3,569 |
| Forks | 315 | 850 |
| Open Issues | 171 | 360 |
| Main Language | Python | Python |
| License | MIT | Apache-2.0 |
| Last Push | Oct 31, 2026 | Oct 7, 2026 |
| GitHub Source | Open Source ↗ | Open Source ↗ |
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mnemosyne Badge
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