Comparison
paperless-ai vs DeepSpeed
Verdict
Pick paperless-ai when paperless-ai is primarily JavaScript; DeepSpeed is Python; pick DeepSpeed when deepSpeed is primarily Python; paperless-ai is JavaScript.
Markdown twin · paperless-ai alternatives · DeepSpeed alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | paperless-ai | DeepSpeed |
|---|---|---|
| Maintenance | Active (10d since push) As of today · github_public_v1 | Very active (0d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | No lockfile (source not queried) As of 4d · 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
- paperless-ai
- An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents.
- DeepSpeed
- Deep learning optimization library for efficient distributed training and inference
Stars
- paperless-ai
- 5.8k
- DeepSpeed
- 43k
Forks
- paperless-ai
- 318
- DeepSpeed
- 4.9k
Open issues
- paperless-ai
- 56
- DeepSpeed
- 1.3k
Language
- paperless-ai
- JavaScript
- DeepSpeed
- Python
Adopt for
- paperless-ai
- -
- 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.
Persona
- paperless-ai
- -
- DeepSpeed
- -
Runtime
- paperless-ai
- -
- DeepSpeed
- -
License
- paperless-ai
- MIT
- DeepSpeed
- Apache-2.0
Last pushed
- paperless-ai
- Jul 5, 2026
- DeepSpeed
- Jul 13, 2026
Categories
- paperless-ai
- Inference & Serving
- DeepSpeed
- Inference & Serving, Model Training
Trust and health
Maintenance
- paperless-ai
- Active (82%)
- DeepSpeed
- Very active (96%)
Days since push
- paperless-ai
- 10d
- DeepSpeed
- 0d
Open issues (now)
- paperless-ai
- 56
- DeepSpeed
- 1.3k
Owner type
- paperless-ai
- User
- DeepSpeed
- Organization
Full report
- paperless-ai
- Trust report
- DeepSpeed
- Trust report
Choose paperless-ai if…
- paperless-ai is primarily JavaScript; DeepSpeed is Python.
- License: paperless-ai is MIT, DeepSpeed is Apache-2.0.
- Tags unique to paperless-ai: ai, automation, gemma, llama.
When NOT to use paperless-ai
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Choose DeepSpeed if…
- DeepSpeed is primarily Python; paperless-ai is JavaScript.
- License: DeepSpeed is Apache-2.0, paperless-ai is MIT.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (clusterzx/paperless-ai) · observed Jul 15, 2026
- GitHub forks (clusterzx/paperless-ai) · observed Jul 15, 2026
- Last push (clusterzx/paperless-ai) · observed Jul 5, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- 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 on cards: paperless-ai 5.8k · DeepSpeed 43k (synced Jul 15, 2026).
Common questions
- What is the difference between paperless-ai and DeepSpeed?
- paperless-ai: An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents.. DeepSpeed: Deep learning optimization library for efficient distributed training and inference. See the comparison table for live GitHub stats and shared categories.
- When should I choose paperless-ai over DeepSpeed?
- Choose paperless-ai over DeepSpeed when paperless-ai is primarily JavaScript; DeepSpeed is Python; License: paperless-ai is MIT, DeepSpeed is Apache-2.0; Tags unique to paperless-ai: ai, automation, gemma, llama.
- When should I choose DeepSpeed over paperless-ai?
- Choose DeepSpeed over paperless-ai when DeepSpeed is primarily Python; paperless-ai is JavaScript; License: DeepSpeed is Apache-2.0, paperless-ai is MIT; 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 avoid paperless-ai?
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- 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
- Is paperless-ai or DeepSpeed more popular on GitHub?
- DeepSpeed has more GitHub stars (42,700 vs 5,819). Stars measure visibility, not whether either tool fits your constraints.
- Are paperless-ai and DeepSpeed open source?
- Yes - both are open-source projects on GitHub (paperless-ai: MIT, DeepSpeed: Apache-2.0).
- Where can I find alternatives to paperless-ai or DeepSpeed?
- GraphCanon lists graph-backed alternatives at paperless-ai alternatives and DeepSpeed alternatives (paperless-ai markdown twin, DeepSpeed 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, paperless-ai or DeepSpeed?
- paperless-ai: Active. DeepSpeed: 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 paperless-ai and DeepSpeed?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: paperless-ai trust report; DeepSpeed trust report.