Comparison
airllm vs seldon-core
Verdict
Pick airllm when airllm is primarily Jupyter Notebook; seldon-core is Go; pick seldon-core when seldon-core is primarily Go; airllm is Jupyter Notebook.
Markdown twin · airllm alternatives · seldon-core alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | airllm | seldon-core |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (110d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | 4 low (4 low) As of 2d · osv@v1 | No lockfile As of today · none |
Tagline
- airllm
- AirLLM 70B inference with single 4GB GPU
- seldon-core
- An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Stars
- airllm
- 22k
- seldon-core
- 4.8k
Forks
- airllm
- 2.6k
- seldon-core
- 865
Open issues
- airllm
- 106
- seldon-core
- 394
Language
- airllm
- Jupyter Notebook
- seldon-core
- Go
Adopt for
- airllm
- AirLLM is a notable framework designed specifically for running large language models on low-resource hardware, such as a single 4GB GPU.
- seldon-core
- -
Persona
- airllm
- -
- seldon-core
- -
Runtime
- airllm
- -
- seldon-core
- -
License
- airllm
- Apache-2.0
- seldon-core
- Other
Last pushed
- airllm
- Jul 11, 2026
- seldon-core
- Mar 23, 2026
Categories
- airllm
- Inference & Serving
- seldon-core
- Inference & Serving
Trust and health
Maintenance
- airllm
- Very active (96%)
- seldon-core
- Slowing (36%)
Days since push
- airllm
- 0d
- seldon-core
- 110d
Open issues (now)
- airllm
- 106
- seldon-core
- 394
Owner type
- airllm
- User
- seldon-core
- Organization
Security scan
- airllm
- 4 low (4 low)
- seldon-core
- No lockfile
Full report
- airllm
- Trust report
- seldon-core
- Trust report
Choose airllm if…
- airllm is primarily Jupyter Notebook; seldon-core is Go.
- License: airllm is Apache-2.0, seldon-core is Other.
- Pricing: Free and open-source under the Apache-2.0 license; however, infrastructure costs apply..
- Requirements: Min 16 GB RAM; A single 4GB GPU is sufficient for using this framework to run large language model inferences..
- Tags unique to airllm: chinese llm, chinese-nlp, finetune, generative-ai.
- If you have limited hardware resources but need to perform inferences on large language models (like the 70B parameter model that AirLLM supports), use AirLLM.
When NOT to use airllm
- Avoid using AirLLM if you require models to run on higher-end GPUs or multiple GPU clusters, as its strength lies in low-resource efficiency.
- Do not use AirLLM if you are working primarily with non-Chinese language datasets and models, since support for other languages may be less optimized compared to competition.
Choose seldon-core if…
- seldon-core is primarily Go; airllm is Jupyter Notebook.
- License: seldon-core is Other, airllm is Apache-2.0.
- Tags unique to seldon-core: aiops, deployment, kubernetes, machine-learning.
When NOT to use seldon-core
- Last GitHub push was 110 days ago (slowing maintenance, Mar 23, 2026). Validate activity before betting a new project on seldon-core.
- 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 (lyogavin/airllm) · observed Jul 11, 2026
- GitHub forks (lyogavin/airllm) · observed Jul 11, 2026
- Last push (lyogavin/airllm) · 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 9, 2026
- GitHub stars (SeldonIO/seldon-core) · observed Jul 11, 2026
- GitHub forks (SeldonIO/seldon-core) · observed Jul 11, 2026
- Last push (SeldonIO/seldon-core) · observed Mar 23, 2026
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: airllm 22k · seldon-core 4.8k (synced Jul 11, 2026).
Common questions
- What is the difference between airllm and seldon-core?
- airllm: AirLLM 70B inference with single 4GB GPU. seldon-core: An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models. See the comparison table for live GitHub stats and shared categories.
- When should I choose airllm over seldon-core?
- Choose airllm over seldon-core when airllm is primarily Jupyter Notebook; seldon-core is Go; License: airllm is Apache-2.0, seldon-core is Other; Pricing: Free and open-source under the Apache-2.0 license; however, infrastructure costs apply.; Requirements: Min 16 GB RAM; A single 4GB GPU is sufficient for using this framework to run large language model inferences.; Tags unique to airllm: chinese llm, chinese-nlp, finetune, generative-ai; If you have limited hardware resources but need to perform inferences on large language models (like the 70B parameter model that AirLLM supports), use AirLLM.
- When should I choose seldon-core over airllm?
- Choose seldon-core over airllm when seldon-core is primarily Go; airllm is Jupyter Notebook; License: seldon-core is Other, airllm is Apache-2.0; Tags unique to seldon-core: aiops, deployment, kubernetes, machine-learning.
- When should I avoid airllm?
- Avoid using AirLLM if you require models to run on higher-end GPUs or multiple GPU clusters, as its strength lies in low-resource efficiency. Do not use AirLLM if you are working primarily with non-Chinese language datasets and models, since support for other languages may be less optimized compared to competition.
- When should I avoid seldon-core?
- Last GitHub push was 110 days ago (slowing maintenance, Mar 23, 2026). Validate activity before betting a new project on seldon-core. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is airllm or seldon-core more popular on GitHub?
- airllm has more GitHub stars (22,399 vs 4,759). Stars measure visibility, not whether either tool fits your constraints.
- Are airllm and seldon-core open source?
- Yes - both are open-source projects on GitHub (airllm: Apache-2.0, seldon-core: Other).
- Where can I find alternatives to airllm or seldon-core?
- GraphCanon lists graph-backed alternatives at airllm alternatives and seldon-core alternatives (airllm markdown twin, seldon-core 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, airllm or seldon-core?
- airllm: Very active. seldon-core: Slowing. 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 airllm and seldon-core?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: airllm trust report; seldon-core trust report.