Comparison
surogate vs finetuning-scheduler
Verdict
Pick surogate if surogate is a C++-based repository that accelerates training and fine-tuning for generative AI models using CUDA on NVIDIA GPUs; pick finetuning-scheduler if finetuning-scheduler accelerates and enhances PyTorch Lightning model fine-tuning with flexible schedules.
Markdown twin · surogate alternatives · finetuning-scheduler alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | surogate | finetuning-scheduler |
|---|---|---|
| Maintenance | Very active (1d since push) As of 1d · github_public_v1 | Very active (3d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- surogate
- Training/Fine-tuning at the speed of light
- finetuning-scheduler
- PyTorch Lightning extension for fine-tuning schedules
Stars
- surogate
- 813
- finetuning-scheduler
- 70
Forks
- surogate
- 8
- finetuning-scheduler
- 8
Open issues
- surogate
- 7
- finetuning-scheduler
- 0
Language
- surogate
- C++
- finetuning-scheduler
- Python
Adopt for
- surogate
- surogate is a C++-based repository that accelerates training and fine-tuning for generative AI models using CUDA on NVIDIA GPUs
- finetuning-scheduler
- finetuning-scheduler accelerates and enhances PyTorch Lightning model fine-tuning with flexible schedules.
Persona
- surogate
- -
- finetuning-scheduler
- -
Runtime
- surogate
- -
- finetuning-scheduler
- -
License
- surogate
- Apache-2.0
- finetuning-scheduler
- Apache-2.0
Last pushed
- surogate
- Aug 23, 2026
- finetuning-scheduler
- Jul 30, 2026
Categories
- surogate
- Model Training
- finetuning-scheduler
- Model Training
Trust and health
Days since push
- surogate
- 1d
- finetuning-scheduler
- 3d
Open issues (now)
- surogate
- 7
- finetuning-scheduler
- 0
Stars delta
- surogate
- +7 (30d)
- finetuning-scheduler
- Unknown
Open issues delta
- surogate
- +1 (30d)
- finetuning-scheduler
- Unknown
Owner type
- surogate
- Organization
- finetuning-scheduler
- User
Full report
- surogate
- Trust report
- finetuning-scheduler
- Trust report
Choose surogate if…
- surogate is primarily C++; finetuning-scheduler is Python.
- Tags unique to surogate: cuda, deep-learning, generative-ai, llama.
- When needing rapid training and fine-tuning capabilities for generative AI models that take full advantage of NVIDIA GPU acceleration via CUDA.
When NOT to use surogate
- If working in an environment without access to NVIDIA GPUs, as surogate leverages CUDA for its speed optimizations specifically designed for these hardware configurations.
- When looking to use a more accessible language like Python for training and fine-tuning, since surogate is based on C++ which may offer less ease-of-use.
Choose finetuning-scheduler if…
- finetuning-scheduler is primarily Python; surogate is C++.
- Tags unique to finetuning-scheduler: artificial-intelligence, machine-learning, neural-networks, pytorch.
- 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 (invergent-ai/surogate) · observed Aug 24, 2026
- GitHub forks (invergent-ai/surogate) · observed Aug 24, 2026
- Last push (invergent-ai/surogate) · observed Aug 23, 2026
- License file (Apache-2.0) · observed Aug 24, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (speediedan/finetuning-scheduler) · observed Aug 3, 2026
- GitHub forks (speediedan/finetuning-scheduler) · observed Aug 3, 2026
- Last push (speediedan/finetuning-scheduler) · observed Jul 30, 2026
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: surogate 813 · finetuning-scheduler 70 (synced Aug 24, 2026).
Common questions
- What is the difference between surogate and finetuning-scheduler?
- surogate: Training/Fine-tuning at the speed of light. finetuning-scheduler: PyTorch Lightning extension for fine-tuning schedules. See the comparison table for live GitHub stats and shared categories.
- When should I choose surogate over finetuning-scheduler?
- Choose surogate over finetuning-scheduler when surogate is primarily C++; finetuning-scheduler is Python; Tags unique to surogate: cuda, deep-learning, generative-ai, llama; When needing rapid training and fine-tuning capabilities for generative AI models that take full advantage of NVIDIA GPU acceleration via CUDA.
- When should I choose finetuning-scheduler over surogate?
- Choose finetuning-scheduler over surogate when finetuning-scheduler is primarily Python; surogate is C++; Tags unique to finetuning-scheduler: artificial-intelligence, machine-learning, neural-networks, pytorch; For projects using PyTorch Lightning that require dynamic, flexible scheduling for model fine-tuning.
- When should I avoid surogate?
- If working in an environment without access to NVIDIA GPUs, as surogate leverages CUDA for its speed optimizations specifically designed for these hardware configurations. When looking to use a more accessible language like Python for training and fine-tuning, since surogate is based on C++ which may offer less ease-of-use.
- 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 surogate or finetuning-scheduler more popular on GitHub?
- surogate has more GitHub stars (813 vs 70). Stars measure visibility, not whether either tool fits your constraints.
- Are surogate and finetuning-scheduler open source?
- Yes - both are open-source projects on GitHub (surogate: Apache-2.0, finetuning-scheduler: Apache-2.0).
- Where can I find alternatives to surogate or finetuning-scheduler?
- GraphCanon lists graph-backed alternatives at surogate alternatives and finetuning-scheduler alternatives (surogate 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, surogate or finetuning-scheduler?
- surogate: 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 surogate and finetuning-scheduler?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: surogate trust report; finetuning-scheduler trust report.