Comparison
DeepSpeed vs onepanel
Verdict
Pick DeepSpeed when deepSpeed is primarily Python; onepanel is Go; pick onepanel when onepanel is primarily Go; DeepSpeed is Python.
Markdown twin · DeepSpeed alternatives · onepanel alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | DeepSpeed | onepanel |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (1232d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 113 low (113 low) As of today · osv@v1 |
Tagline
- DeepSpeed
- Deep learning optimization library for efficient distributed training and inference
- onepanel
- The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
Stars
- DeepSpeed
- 43k
- onepanel
- 730
Forks
- DeepSpeed
- 4.9k
- onepanel
- 73
Open issues
- DeepSpeed
- 1.3k
- onepanel
- 102
Language
- DeepSpeed
- Python
- onepanel
- Go
Adopt for
- DeepSpeed
- Decisions for DeepSpeed use are driven by its capacity to handle large models efficiently using techniques such as data parallelism, model parallelism, pipeline parallelism, and compression.
- onepanel
- -
Persona
- DeepSpeed
- -
- onepanel
- -
Runtime
- DeepSpeed
- -
- onepanel
- -
License
- DeepSpeed
- Apache-2.0
- onepanel
- Apache-2.0
Last pushed
- DeepSpeed
- Jul 11, 2026
- onepanel
- Feb 25, 2023
Categories
- DeepSpeed
- Inference & Serving, Model Training
- onepanel
- Inference & Serving, Model Training, Vector Databases
Trust and health
Maintenance
- DeepSpeed
- Very active (96%)
- onepanel
- Dormant (18%)
Days since push
- DeepSpeed
- 0d
- onepanel
- 1232d
Open issues (now)
- DeepSpeed
- 1.3k
- onepanel
- 102
Security scan
- DeepSpeed
- No lockfile
- onepanel
- 113 low (113 low)
Full report
- DeepSpeed
- Trust report
- onepanel
- Trust report
Choose DeepSpeed if…
- DeepSpeed is primarily Python; onepanel is Go.
- Tags unique to DeepSpeed: billion-parameters, compression, data-parallelism, deep-learning.
- - When training or inferring with PyTorch on large datasets or complex deep learning models (up to trillion parameters)
When NOT to use DeepSpeed
- - When you are working in an environment that only supports CPU-based training without access to CUDA or ROCm compatible GPUs
- - If your project's PyTorch version is less than 2.0, DeepSpeed may not support all of its features and optimizations effectively
Choose onepanel if…
- onepanel is primarily Go; DeepSpeed is Python.
- Tags unique to onepanel: ai, aiops, annotation, computer-vision.
- Also covers Vector Databases.
- onepanel ships Docker support for self-hosted deployment.
When NOT to use onepanel
- Last GitHub push was 1233 days ago (dormant maintenance, Feb 25, 2023). Validate activity before betting a new project on onepanel.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (deepspeedai/DeepSpeed) · observed Jul 11, 2026
- GitHub forks (deepspeedai/DeepSpeed) · observed Jul 11, 2026
- Last push (deepspeedai/DeepSpeed) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (onepanelio/onepanel) · observed Jul 11, 2026
- GitHub forks (onepanelio/onepanel) · observed Jul 11, 2026
- Last push (onepanelio/onepanel) · observed Feb 25, 2023
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: DeepSpeed 43k · onepanel 730 (synced Jul 11, 2026).
Common questions
- What is the difference between DeepSpeed and onepanel?
- DeepSpeed: Deep learning optimization library for efficient distributed training and inference. onepanel: The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.. See the comparison table for live GitHub stats and shared categories.
- When should I choose DeepSpeed over onepanel?
- Choose DeepSpeed over onepanel when DeepSpeed is primarily Python; onepanel is Go; Tags unique to DeepSpeed: billion-parameters, compression, data-parallelism, deep-learning; - When training or inferring with PyTorch on large datasets or complex deep learning models (up to trillion parameters).
- When should I choose onepanel over DeepSpeed?
- Choose onepanel over DeepSpeed when onepanel is primarily Go; DeepSpeed is Python; Tags unique to onepanel: ai, aiops, annotation, computer-vision; Also covers Vector Databases; onepanel ships Docker support for self-hosted deployment.
- When should I avoid DeepSpeed?
- - When you are working in an environment that only supports CPU-based training without access to CUDA or ROCm compatible GPUs - If your project's PyTorch version is less than 2.0, DeepSpeed may not support all of its features and optimizations effectively
- When should I avoid onepanel?
- Last GitHub push was 1233 days ago (dormant maintenance, Feb 25, 2023). Validate activity before betting a new project on onepanel. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is DeepSpeed or onepanel more popular on GitHub?
- DeepSpeed has more GitHub stars (42,685 vs 730). Stars measure visibility, not whether either tool fits your constraints.
- Are DeepSpeed and onepanel open source?
- Yes - both are open-source projects on GitHub (DeepSpeed: Apache-2.0, onepanel: Apache-2.0).
- Where can I find alternatives to DeepSpeed or onepanel?
- GraphCanon lists graph-backed alternatives at DeepSpeed alternatives and onepanel alternatives (DeepSpeed markdown twin, onepanel 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, DeepSpeed or onepanel?
- DeepSpeed: Very active. onepanel: Dormant. 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 DeepSpeed and onepanel?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepSpeed trust report; onepanel trust report.