Comparison
Liger-Kernel vs finetuning-scheduler
Verdict
Pick Liger-Kernel if optimized Triton kernels for accelerating LLM training, especially on ROCm PyTorch installations; pick finetuning-scheduler if finetuning-scheduler accelerates and enhances PyTorch Lightning model fine-tuning with flexible schedules.
Markdown twin · Liger-Kernel alternatives · finetuning-scheduler alternatives
GraphCanon updated Sep 26, 2026
6views this month
vs
Trust & integrity
| Signal | Liger-Kernel | finetuning-scheduler |
|---|---|---|
| Maintenance | Very active (3d since push) As of Sep 7, 2026 · github_public_v1 | Very active (1d since push) As of Sep 26, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 7, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 26, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- Liger-Kernel
- Efficient Triton Kernels for LLM Training
- finetuning-scheduler
- PyTorch Lightning extension for fine-tuning schedules
Stars
- Liger-Kernel
- 6.6k
- finetuning-scheduler
- 69
Forks
- Liger-Kernel
- 593
- finetuning-scheduler
- 8
Open issues
- Liger-Kernel
- 215
- finetuning-scheduler
- 1
Language
- Liger-Kernel
- Python
- finetuning-scheduler
- Python
Adopt for
- Liger-Kernel
- Optimized Triton kernels for accelerating LLM training, especially on ROCm PyTorch installations.
- finetuning-scheduler
- finetuning-scheduler accelerates and enhances PyTorch Lightning model fine-tuning with flexible schedules.
Persona
- Liger-Kernel
- -
- finetuning-scheduler
- -
Runtime
- Liger-Kernel
- -
- finetuning-scheduler
- -
License
- Liger-Kernel
- BSD-2-Clause
- finetuning-scheduler
- Apache-2.0
Last pushed
- Liger-Kernel
- Sep 3, 2026
- finetuning-scheduler
- Sep 24, 2026
Categories
- Liger-Kernel
- Model Training
- finetuning-scheduler
- Model Training
Trust and health
Days since push
- Liger-Kernel
- 3d
- finetuning-scheduler
- 1d
Open issues (now)
- Liger-Kernel
- 215
- finetuning-scheduler
- 1
Stars delta
- Liger-Kernel
- +45 (30d)
- finetuning-scheduler
- -1 (30d)
Open issues delta
- Liger-Kernel
- +25 (30d)
- finetuning-scheduler
- +1 (30d)
Owner type
- Liger-Kernel
- Organization
- finetuning-scheduler
- User
Full report
- Liger-Kernel
- Trust report
- finetuning-scheduler
- Trust report
Shared compatibility
- Python · Liger-Kernel: Python runtime · finetuning-scheduler: Python runtime
Choose Liger-Kernel if…
- License: Liger-Kernel is BSD-2-Clause, finetuning-scheduler is Apache-2.0.
- Tags unique to Liger-Kernel: finetuning, gemma2, llama, mistral.
- When enhancing training speed of large language models with ROCm-compatible hardware.
When NOT to use Liger-Kernel
- Avoid if only CUDA environments are supported, as Liger-Kernel emphasizes ROCm compatibility.
- Skip for simple setup requirements; prefer more streamlined tools without extensive customization options.
Choose finetuning-scheduler if…
- License: finetuning-scheduler is Apache-2.0, Liger-Kernel is BSD-2-Clause.
- Tags unique to finetuning-scheduler: artificial-intelligence, fine-tuning, machine-learning, neural-networks.
- For projects using PyTorch Lightning that require dynamic, flexible scheduling for model fine-tuning.
When NOT to use finetuning-scheduler
- If your project uses a different framework than PyTorch or requires no schedule flexibility in training stages.
- For teams that prefer manual scheduling and do not need the speed boost offered by finetuning-scheduler's automation.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (linkedin/Liger-Kernel) · observed Sep 20, 2026
- GitHub forks (linkedin/Liger-Kernel) · observed Sep 20, 2026
- Last push (linkedin/Liger-Kernel) · observed Sep 3, 2026
- License file (BSD-2-Clause) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (speediedan/finetuning-scheduler) · observed Sep 26, 2026
- GitHub forks (speediedan/finetuning-scheduler) · observed Sep 26, 2026
- Last push (speediedan/finetuning-scheduler) · observed Sep 24, 2026
- License file (Apache-2.0) · observed Sep 26, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Liger-Kernel 6.6k · finetuning-scheduler 69 (synced Sep 20, 2026).
Common questions
- What is the difference between Liger-Kernel and finetuning-scheduler?
- Liger-Kernel: Efficient Triton Kernels for LLM Training. finetuning-scheduler: PyTorch Lightning extension for fine-tuning schedules. See the comparison table for live GitHub stats and shared categories.
- When should I choose Liger-Kernel over finetuning-scheduler?
- Choose Liger-Kernel over finetuning-scheduler when License: Liger-Kernel is BSD-2-Clause, finetuning-scheduler is Apache-2.0; Tags unique to Liger-Kernel: finetuning, gemma2, llama, mistral; When enhancing training speed of large language models with ROCm-compatible hardware.
- When should I choose finetuning-scheduler over Liger-Kernel?
- Choose finetuning-scheduler over Liger-Kernel when License: finetuning-scheduler is Apache-2.0, Liger-Kernel is BSD-2-Clause; Tags unique to finetuning-scheduler: artificial-intelligence, fine-tuning, machine-learning, neural-networks; For projects using PyTorch Lightning that require dynamic, flexible scheduling for model fine-tuning.
- When should I avoid Liger-Kernel?
- Avoid if only CUDA environments are supported, as Liger-Kernel emphasizes ROCm compatibility. Skip for simple setup requirements; prefer more streamlined tools without extensive customization options.
- When should I avoid finetuning-scheduler?
- If your project uses a different framework than PyTorch or requires no schedule flexibility in training stages. For teams that prefer manual scheduling and do not need the speed boost offered by finetuning-scheduler's automation.
- Is Liger-Kernel or finetuning-scheduler more popular on GitHub?
- Liger-Kernel has more GitHub stars (6,600 vs 69). Stars measure visibility, not whether either tool fits your constraints.
- Are Liger-Kernel and finetuning-scheduler open source?
- Yes - both are open-source projects on GitHub (Liger-Kernel: BSD-2-Clause, finetuning-scheduler: Apache-2.0).
- Where can I find alternatives to Liger-Kernel or finetuning-scheduler?
- GraphCanon lists graph-backed alternatives at Liger-Kernel alternatives and finetuning-scheduler alternatives (Liger-Kernel markdown twin, finetuning-scheduler markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, Liger-Kernel or finetuning-scheduler?
- Liger-Kernel: Very active. finetuning-scheduler: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for Liger-Kernel and finetuning-scheduler?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Liger-Kernel trust report; finetuning-scheduler trust report.