Comparison
llm-engineer-toolkit vs LLMmap
Verdict
Pick llm-engineer-toolkit if the llm-engineer-toolkit is a curated list of over 120 LLM libraries, organized into categories such as LLM Training, Inference, and Serving, aimed at LLM engineers and developers; pick LLMmap if lLMmap is a Python-based tool for quick inference using pretrained models without needing additional training. It includes PyTorch weights, configuration files, and behavioral templates tailored to 52.
Markdown twin · llm-engineer-toolkit alternatives · LLMmap alternatives
GraphCanon updated Oct 5, 2026
Trust & integrity
| Signal | llm-engineer-toolkit | LLMmap |
|---|---|---|
| Maintenance | Active (9d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (437d since push) As of Oct 5, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Oct 5, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | Published findings As of Jul 11, 2026 · 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
- llm-engineer-toolkit
- A curated list of 120+ LLM libraries category wise
- LLMmap
- Provides a ready-to-use pretrained model for open-set inference with PyTorch weights, configuration file, and behavioral templates.
Stars
- llm-engineer-toolkit
- 11k
- LLMmap
- 469
Forks
- llm-engineer-toolkit
- 1.7k
- LLMmap
- 51
Open issues
- llm-engineer-toolkit
- 17
- LLMmap
- 6
Language
- llm-engineer-toolkit
- -
- LLMmap
- Python
Adopt for
- llm-engineer-toolkit
- The llm-engineer-toolkit is a curated list of over 120 LLM libraries, organized into categories such as LLM Training, Inference, and Serving, aimed at LLM engineers and developers.
- LLMmap
- LLMmap is a Python-based tool for quick inference using pretrained models without needing additional training. It includes PyTorch weights, configuration files, and behavioral templates tailored to 52 different LLMs.
Persona
- llm-engineer-toolkit
- -
- LLMmap
- -
Runtime
- llm-engineer-toolkit
- -
- LLMmap
- -
License
- llm-engineer-toolkit
- Apache-2.0
- LLMmap
- MIT
Last pushed
- llm-engineer-toolkit
- Sep 9, 2026
- LLMmap
- Jul 24, 2025
Categories
- llm-engineer-toolkit
- Inference & Serving, LLM Frameworks, Model Training
- LLMmap
- Inference & Serving, Model Training
Trust and health
Maintenance
- llm-engineer-toolkit
- Active (82%)
- LLMmap
- Dormant (18%)
Days since push
- llm-engineer-toolkit
- 9d
- LLMmap
- 437d
Open issues (now)
- llm-engineer-toolkit
- 17
- LLMmap
- 6
Stars delta
- llm-engineer-toolkit
- +26 (30d)
- LLMmap
- +25 (30d)
Open issues delta
- llm-engineer-toolkit
- +2 (30d)
- LLMmap
- 0 (30d)
OSV dependency advisories
- llm-engineer-toolkit
- No lockfile (source not queried)
- LLMmap
- Published findings
Full report
- llm-engineer-toolkit
- Trust report
- LLMmap
- Trust report
Choose llm-engineer-toolkit if…
- License: llm-engineer-toolkit is Apache-2.0, LLMmap is MIT.
- Tags unique to llm-engineer-toolkit: ai-engineer, generative-ai, large-language-models, llm-engineer.
- Also covers LLM Frameworks.
- When you need a categorized list of over 120 LLM libraries to streamline your search for specific tools or frameworks.
When NOT to use llm-engineer-toolkit
- If you are seeking a repository that provides detailed implementation guides or code samples for each library, as the llm-engineer-toolkit primarily serves as a list.
- When you require real-time updates or active development support, as the toolkit is a static list and does not include active development or community support features.
Choose LLMmap if…
- License: LLMmap is MIT, llm-engineer-toolkit is Apache-2.0.
- Tags unique to LLMmap: open-set inference, pretrained-models, python, pytorch.
- When you need immediate model deployment and don't want or can’t afford the time to train a custom model.
When NOT to use LLMmap
- If your application requires fine-tuning on specific datasets as LLMmap offers only generic pretrained models without out-of-the-box support for further training.
- In scenarios needing advanced customization beyond the provided behavioral templates, since LLMmap’s framework might not accommodate extensive model modifications.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (KalyanKS-NLP/llm-engineer-toolkit) · observed Sep 20, 2026
- GitHub forks (KalyanKS-NLP/llm-engineer-toolkit) · observed Sep 20, 2026
- Last push (KalyanKS-NLP/llm-engineer-toolkit) · observed Sep 9, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (pasquini-dario/LLMmap) · observed Oct 5, 2026
- GitHub forks (pasquini-dario/LLMmap) · observed Oct 5, 2026
- Last push (pasquini-dario/LLMmap) · observed Jul 24, 2025
- License file (MIT) · observed Oct 5, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: llm-engineer-toolkit 11k · LLMmap 469 (synced Sep 20, 2026).
Common questions
- What is the difference between llm-engineer-toolkit and LLMmap?
- llm-engineer-toolkit: A curated list of 120+ LLM libraries category wise. LLMmap: Provides a ready-to-use pretrained model for open-set inference with PyTorch weights, configuration file, and behavioral templates.. See the comparison table for live GitHub stats and shared categories.
- When should I choose llm-engineer-toolkit over LLMmap?
- Choose llm-engineer-toolkit over LLMmap when License: llm-engineer-toolkit is Apache-2.0, LLMmap is MIT; Tags unique to llm-engineer-toolkit: ai-engineer, generative-ai, large-language-models, llm-engineer; Also covers LLM Frameworks; When you need a categorized list of over 120 LLM libraries to streamline your search for specific tools or frameworks.
- When should I choose LLMmap over llm-engineer-toolkit?
- Choose LLMmap over llm-engineer-toolkit when License: LLMmap is MIT, llm-engineer-toolkit is Apache-2.0; Tags unique to LLMmap: open-set inference, pretrained-models, python, pytorch; When you need immediate model deployment and don't want or can’t afford the time to train a custom model.
- When should I avoid llm-engineer-toolkit?
- If you are seeking a repository that provides detailed implementation guides or code samples for each library, as the llm-engineer-toolkit primarily serves as a list. When you require real-time updates or active development support, as the toolkit is a static list and does not include active development or community support features.
- When should I avoid LLMmap?
- If your application requires fine-tuning on specific datasets as LLMmap offers only generic pretrained models without out-of-the-box support for further training. In scenarios needing advanced customization beyond the provided behavioral templates, since LLMmap’s framework might not accommodate extensive model modifications.
- Is llm-engineer-toolkit or LLMmap more popular on GitHub?
- llm-engineer-toolkit has more GitHub stars (10,793 vs 469). Stars measure visibility, not whether either tool fits your constraints.
- Are llm-engineer-toolkit and LLMmap open source?
- Yes - both are open-source projects on GitHub (llm-engineer-toolkit: Apache-2.0, LLMmap: MIT).
- Where can I find alternatives to llm-engineer-toolkit or LLMmap?
- GraphCanon lists graph-backed alternatives at llm-engineer-toolkit alternatives and LLMmap alternatives (llm-engineer-toolkit markdown twin, LLMmap 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, llm-engineer-toolkit or LLMmap?
- llm-engineer-toolkit: Active. LLMmap: 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 llm-engineer-toolkit and LLMmap?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-engineer-toolkit trust report; LLMmap trust report.