Comparison
surogate vs BMTrain
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 BMTrain if bMTrain: Efficient Training for Big Models in Python.
Markdown twin · surogate alternatives · BMTrain alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | surogate | BMTrain |
|---|---|---|
| Maintenance | Very active (1d since push) As of 1d · github_public_v1 | Steady (30d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 2w · 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
- BMTrain
- Efficient Training for Big Models
Stars
- surogate
- 813
- BMTrain
- 623
Forks
- surogate
- 8
- BMTrain
- 88
Open issues
- surogate
- 7
- BMTrain
- 10
Language
- surogate
- C++
- BMTrain
- 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
- BMTrain
- BMTrain: Efficient Training for Big Models in Python.
Persona
- surogate
- -
- BMTrain
- -
Runtime
- surogate
- -
- BMTrain
- -
License
- surogate
- Apache-2.0
- BMTrain
- Apache-2.0
Last pushed
- surogate
- Aug 23, 2026
- BMTrain
- Jul 7, 2026
Categories
- surogate
- Model Training
- BMTrain
- Model Training
Trust and health
Maintenance
- surogate
- Very active (96%)
- BMTrain
- Steady (60%)
Days since push
- surogate
- 1d
- BMTrain
- 30d
Open issues (now)
- surogate
- 7
- BMTrain
- 10
Stars delta
- surogate
- +7 (30d)
- BMTrain
- Unknown
Open issues delta
- surogate
- +1 (30d)
- BMTrain
- Unknown
Full report
- surogate
- Trust report
- BMTrain
- Trust report
Choose surogate if…
- surogate is primarily C++; BMTrain 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 BMTrain if…
- BMTrain is primarily Python; surogate is C++.
- Tags unique to BMTrain: apache-2.0-license, big model, pre-training, python.
- BMTrain ships Docker support for self-hosted deployment.
- Need efficient pre-training or fine-tuning of large scale models
When NOT to use BMTrain
- Seeking a tool that installs without compiling C/CUDA source code
- Require immediate setup; BMTrain's installation might be time-consuming due to compilation steps
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 (OpenBMB/BMTrain) · observed Aug 7, 2026
- GitHub forks (OpenBMB/BMTrain) · observed Aug 7, 2026
- Last push (OpenBMB/BMTrain) · observed Jul 7, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: surogate 813 · BMTrain 623 (synced Aug 24, 2026).
Common questions
- What is the difference between surogate and BMTrain?
- surogate: Training/Fine-tuning at the speed of light. BMTrain: Efficient Training for Big Models. See the comparison table for live GitHub stats and shared categories.
- When should I choose surogate over BMTrain?
- Choose surogate over BMTrain when surogate is primarily C++; BMTrain 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 BMTrain over surogate?
- Choose BMTrain over surogate when BMTrain is primarily Python; surogate is C++; Tags unique to BMTrain: apache-2.0-license, big model, pre-training, python; BMTrain ships Docker support for self-hosted deployment; Need efficient pre-training or fine-tuning of large scale models.
- 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 BMTrain?
- Seeking a tool that installs without compiling C/CUDA source code Require immediate setup; BMTrain's installation might be time-consuming due to compilation steps
- Is surogate or BMTrain more popular on GitHub?
- surogate has more GitHub stars (813 vs 623). Stars measure visibility, not whether either tool fits your constraints.
- Are surogate and BMTrain open source?
- Yes - both are open-source projects on GitHub (surogate: Apache-2.0, BMTrain: Apache-2.0).
- Where can I find alternatives to surogate or BMTrain?
- GraphCanon lists graph-backed alternatives at surogate alternatives and BMTrain alternatives (surogate markdown twin, BMTrain 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 BMTrain?
- surogate: Very active. BMTrain: Steady. 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 BMTrain?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: surogate trust report; BMTrain trust report.