Comparison
budgetml vs airllm
Verdict
Pick budgetml when budgetml is primarily Python; airllm is Jupyter Notebook; pick airllm when airllm is primarily Jupyter Notebook; budgetml is Python.
Markdown twin · budgetml alternatives · airllm alternatives
GraphCanon updated today
Trust & integrity
| Signal | budgetml | airllm |
|---|---|---|
| Maintenance | Dormant (880d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No criticals As of today · osv@v1 | 4 low (4 low) As of 2d · osv@v1 |
Tagline
- budgetml
- Deploy a ML inference service on a budget in less than 10 lines of code.
- airllm
- AirLLM 70B inference with single 4GB GPU
Stars
- budgetml
- 1.3k
- airllm
- 22k
Forks
- budgetml
- 65
- airllm
- 2.6k
Open issues
- budgetml
- 4
- airllm
- 106
Language
- budgetml
- Python
- airllm
- Jupyter Notebook
Adopt for
- budgetml
- -
- airllm
- AirLLM is a notable framework designed specifically for running large language models on low-resource hardware, such as a single 4GB GPU.
Persona
- budgetml
- -
- airllm
- -
Runtime
- budgetml
- -
- airllm
- -
License
- budgetml
- Apache-2.0
- airllm
- Apache-2.0
Last pushed
- budgetml
- Feb 12, 2024
- airllm
- Jul 11, 2026
Categories
- budgetml
- Inference & Serving
- airllm
- Inference & Serving
Trust and health
Maintenance
- budgetml
- Dormant (18%)
- airllm
- Very active (96%)
Days since push
- budgetml
- 880d
- airllm
- 0d
Open issues (now)
- budgetml
- 4
- airllm
- 106
Owner type
- budgetml
- Organization
- airllm
- User
Security scan
- budgetml
- No criticals
- airllm
- 4 low (4 low)
Full report
- budgetml
- Trust report
- airllm
- Trust report
Choose budgetml if…
- budgetml is primarily Python; airllm is Jupyter Notebook.
- Tags unique to budgetml: data-science, deployment, machine-learning, python.
- Leaner open-issue backlog (4).
When NOT to use budgetml
- Last GitHub push was 880 days ago (dormant maintenance, Feb 12, 2024). Validate activity before betting a new project on budgetml.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Choose airllm if…
- airllm is primarily Jupyter Notebook; budgetml is Python.
- 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: llama, chinese-llm, llm, instruct-gpt.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ebhy/budgetml) · observed Jul 11, 2026
- GitHub forks (ebhy/budgetml) · observed Jul 11, 2026
- Last push (ebhy/budgetml) · observed Feb 12, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: budgetml 1.3k · airllm 22k (synced Jul 11, 2026).
Common questions
- What is the difference between budgetml and airllm?
- budgetml: Deploy a ML inference service on a budget in less than 10 lines of code.. airllm: AirLLM 70B inference with single 4GB GPU. See the comparison table for live GitHub stats and shared categories.
- When should I choose budgetml over airllm?
- Choose budgetml over airllm when budgetml is primarily Python; airllm is Jupyter Notebook; Tags unique to budgetml: data-science, deployment, machine-learning, python; Leaner open-issue backlog (4).
- When should I choose airllm over budgetml?
- Choose airllm over budgetml when airllm is primarily Jupyter Notebook; budgetml is Python; 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: llama, chinese-llm, llm, instruct-gpt; 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 avoid budgetml?
- Last GitHub push was 880 days ago (dormant maintenance, Feb 12, 2024). Validate activity before betting a new project on budgetml. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- 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.
- Is budgetml or airllm more popular on GitHub?
- airllm has more GitHub stars (22,399 vs 1,343). Stars measure visibility, not whether either tool fits your constraints.
- Are budgetml and airllm open source?
- Yes - both are open-source projects on GitHub (budgetml: Apache-2.0, airllm: Apache-2.0).
- Where can I find alternatives to budgetml or airllm?
- GraphCanon lists graph-backed alternatives at budgetml alternatives and airllm alternatives (budgetml markdown twin, airllm 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, budgetml or airllm?
- budgetml: Dormant. airllm: 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 budgetml and airllm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: budgetml trust report; airllm trust report.