Comparison
dart-math vs llm-course
Verdict
Pick dart-math when license: dart-math is MIT, llm-course is Apache-2.0; pick llm-course when license: llm-course is Apache-2.0, dart-math is MIT.
Markdown twin · dart-math alternatives · llm-course alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | dart-math | llm-course |
|---|---|---|
| Maintenance | Dormant (578d since push) As of today · github_public_v1 | Slowing (155d 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 | No lockfile As of today · none |
Tagline
- dart-math
- [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*
- llm-course
- Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Stars
- dart-math
- 120
- llm-course
- 81k
Forks
- dart-math
- 8
- llm-course
- 9.4k
Open issues
- dart-math
- 5
- llm-course
- 84
Language
- dart-math
- Jupyter Notebook
- llm-course
- -
Adopt for
- dart-math
- -
- llm-course
- The llm-course provides a comprehensive guided course on Large Language Models (LLMs), divided into three parts: LLM Fundamentals, The LLM Scientist, and The LLM Engineer. It includes resources such as Colab notebooks to
Persona
- dart-math
- -
- llm-course
- -
Runtime
- dart-math
- -
- llm-course
- -
License
- dart-math
- MIT
- llm-course
- Apache-2.0
Last pushed
- dart-math
- Dec 10, 2024
- llm-course
- Feb 5, 2026
Categories
- dart-math
- LLM Frameworks, Model Training, Inference & Serving
- llm-course
- Model Training, LLM Frameworks, Evaluation & Observability, Inference & Serving
Trust and health
Maintenance
- dart-math
- Dormant (18%)
- llm-course
- Slowing (36%)
Days since push
- dart-math
- 578d
- llm-course
- 155d
Open issues (now)
- dart-math
- 5
- llm-course
- 84
Owner type
- dart-math
- Organization
- llm-course
- User
Security scan
- dart-math
- No criticals
- llm-course
- No lockfile
Full report
- dart-math
- Trust report
- llm-course
- Trust report
Shared compatibility
- Python · dart-math: Python runtime · llm-course: Python runtime
Choose dart-math if…
- License: dart-math is MIT, llm-course is Apache-2.0.
- Tags unique to dart-math: deep-learning, llm, nlp, jupyter notebook.
- Leaner open-issue backlog (5).
When NOT to use dart-math
- Last GitHub push was 579 days ago (dormant maintenance, Dec 10, 2024). Validate activity before betting a new project on dart-math.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Choose llm-course if…
- License: llm-course is Apache-2.0, dart-math is MIT.
- Requirements: Course materials are available in Colab notebooks; access requires a Google account.
- Tags unique to llm-course: colab-notebooks, machine-learning, course, large-language-models.
- Also covers Evaluation & Observability.
- - When you want a comprehensive roadmap for understanding large language models including fundamental knowledge
When NOT to use llm-course
- - If you only require a quick introduction to LLMs without deep dive into core components
- - When you prefer working directly with commercial platforms that provide complete services rather than following detailed steps on building and deploying models yourself through this course's open,DI
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (hkust-nlp/dart-math) · observed Jul 11, 2026
- GitHub forks (hkust-nlp/dart-math) · observed Jul 11, 2026
- Last push (hkust-nlp/dart-math) · observed Dec 10, 2024
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (mlabonne/llm-course) · observed Jul 11, 2026
- GitHub forks (mlabonne/llm-course) · observed Jul 11, 2026
- Last push (mlabonne/llm-course) · observed Feb 5, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dart-math 120 · llm-course 81k (synced Jul 11, 2026).
Common questions
- What is the difference between dart-math and llm-course?
- dart-math: [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*. llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.. See the comparison table for live GitHub stats and shared categories.
- When should I choose dart-math over llm-course?
- Choose dart-math over llm-course when License: dart-math is MIT, llm-course is Apache-2.0; Tags unique to dart-math: deep-learning, llm, nlp, jupyter notebook; Leaner open-issue backlog (5).
- When should I choose llm-course over dart-math?
- Choose llm-course over dart-math when License: llm-course is Apache-2.0, dart-math is MIT; Requirements: Course materials are available in Colab notebooks; access requires a Google account; Tags unique to llm-course: colab-notebooks, machine-learning, course, large-language-models; Also covers Evaluation & Observability; - When you want a comprehensive roadmap for understanding large language models including fundamental knowledge.
- When should I avoid dart-math?
- Last GitHub push was 579 days ago (dormant maintenance, Dec 10, 2024). Validate activity before betting a new project on dart-math. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- When should I avoid llm-course?
- - If you only require a quick introduction to LLMs without deep dive into core components - When you prefer working directly with commercial platforms that provide complete services rather than following detailed steps on building and deploying models yourself through this course's open,DI
- Is dart-math or llm-course more popular on GitHub?
- llm-course has more GitHub stars (80,839 vs 120). Stars measure visibility, not whether either tool fits your constraints.
- Are dart-math and llm-course open source?
- Yes - both are open-source projects on GitHub (dart-math: MIT, llm-course: Apache-2.0).
- Where can I find alternatives to dart-math or llm-course?
- GraphCanon lists graph-backed alternatives at dart-math alternatives and llm-course alternatives (dart-math markdown twin, llm-course 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, dart-math or llm-course?
- dart-math: Dormant. llm-course: 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 dart-math and llm-course?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dart-math trust report; llm-course trust report.