Comparison
DeepSpeed vs viewflow
Verdict
Pick DeepSpeed when license: DeepSpeed is Apache-2.0, viewflow is AGPL-3.0; pick viewflow when license: viewflow is AGPL-3.0, DeepSpeed is Apache-2.0.
Markdown twin · DeepSpeed alternatives · viewflow alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | DeepSpeed | viewflow |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Active (9d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · osv@v1 | No lockfile (source not queried) As of today · 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
- DeepSpeed
- Deep learning optimization library for efficient distributed training and inference
- viewflow
- Reusable workflow library for Django
Stars
- DeepSpeed
- 43k
- viewflow
- 2.9k
Forks
- DeepSpeed
- 4.9k
- viewflow
- 412
Open issues
- DeepSpeed
- 1.3k
- viewflow
- 9
Language
- DeepSpeed
- Python
- viewflow
- Python
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.
- viewflow
- -
Persona
- DeepSpeed
- -
- viewflow
- -
Runtime
- DeepSpeed
- -
- viewflow
- -
License
- DeepSpeed
- Apache-2.0
- viewflow
- AGPL-3.0
Last pushed
- DeepSpeed
- Jul 13, 2026
- viewflow
- Jul 6, 2026
Categories
- DeepSpeed
- Inference & Serving, Model Training
- viewflow
- Inference & Serving
Trust and health
Maintenance
- DeepSpeed
- Very active (96%)
- viewflow
- Active (82%)
Days since push
- DeepSpeed
- 0d
- viewflow
- 9d
Open issues (now)
- DeepSpeed
- 1.3k
- viewflow
- 9
Full report
- DeepSpeed
- Trust report
- viewflow
- Trust report
Choose DeepSpeed if…
- License: DeepSpeed is Apache-2.0, viewflow is AGPL-3.0.
- Tags unique to DeepSpeed: billion-parameters, compression, data-parallelism, deep-learning.
- Also covers Model Training.
- - 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 viewflow if…
- License: viewflow is AGPL-3.0, DeepSpeed is Apache-2.0.
- Tags unique to viewflow: bpmn, django, process-engine, python.
- Leaner open-issue backlog (9).
When NOT to use viewflow
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
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 14, 2026
- GitHub forks (deepspeedai/DeepSpeed) · observed Jul 14, 2026
- Last push (deepspeedai/DeepSpeed) · observed Jul 13, 2026
- License file (Apache-2.0) · observed Jul 14, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (viewflow/viewflow) · observed Jul 15, 2026
- GitHub forks (viewflow/viewflow) · observed Jul 15, 2026
- Last push (viewflow/viewflow) · observed Jul 6, 2026
- License file (AGPL-3.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: DeepSpeed 43k · viewflow 2.9k (synced Jul 14, 2026).
Common questions
- What is the difference between DeepSpeed and viewflow?
- DeepSpeed: Deep learning optimization library for efficient distributed training and inference. viewflow: Reusable workflow library for Django. See the comparison table for live GitHub stats and shared categories.
- When should I choose DeepSpeed over viewflow?
- Choose DeepSpeed over viewflow when License: DeepSpeed is Apache-2.0, viewflow is AGPL-3.0; Tags unique to DeepSpeed: billion-parameters, compression, data-parallelism, deep-learning; Also covers Model Training; - When training or inferring with PyTorch on large datasets or complex deep learning models (up to trillion parameters).
- When should I choose viewflow over DeepSpeed?
- Choose viewflow over DeepSpeed when License: viewflow is AGPL-3.0, DeepSpeed is Apache-2.0; Tags unique to viewflow: bpmn, django, process-engine, python; Leaner open-issue backlog (9).
- 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 viewflow?
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is DeepSpeed or viewflow more popular on GitHub?
- DeepSpeed has more GitHub stars (42,700 vs 2,865). Stars measure visibility, not whether either tool fits your constraints.
- Are DeepSpeed and viewflow open source?
- Yes - both are open-source projects on GitHub (DeepSpeed: Apache-2.0, viewflow: AGPL-3.0).
- Where can I find alternatives to DeepSpeed or viewflow?
- GraphCanon lists graph-backed alternatives at DeepSpeed alternatives and viewflow alternatives (DeepSpeed markdown twin, viewflow 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 viewflow?
- DeepSpeed: Very active. viewflow: 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 DeepSpeed and viewflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepSpeed trust report; viewflow trust report.