Comparison
dart-math vs llm-course
Verdict
Pick dart-math if dART-Math provides sophisticated difficulty-aware rejection tuning for enhancing mathematical problem-solving capabilities of deep learning models; pick llm-course if llm-course provides a comprehensive curriculum on Large Language Models, including fundamental knowledge, building and deploying LLMs, and hands-on Colab notebooks.
Markdown twin · dart-math alternatives · llm-course alternatives
GraphCanon updated Sep 20, 2026
7views this month
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Trust & integrity
| Signal | dart-math | llm-course |
|---|---|---|
| Maintenance | Dormant (649d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (224d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- 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
- 121
- llm-course
- 83k
Forks
- dart-math
- 7
- llm-course
- 9.7k
Open issues
- dart-math
- 5
- llm-course
- 90
Language
- dart-math
- Jupyter Notebook
- llm-course
- -
Adopt for
- dart-math
- DART-Math provides sophisticated difficulty-aware rejection tuning for enhancing mathematical problem-solving capabilities of deep learning models.
- llm-course
- llm-course provides a comprehensive curriculum on Large Language Models, including fundamental knowledge, building and deploying LLMs, and hands-on Colab notebooks.
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
- Evaluation & Observability, Inference & Serving, Model Training
- llm-course
- Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- dart-math
- Dormant (18%)
- llm-course
- Slowing (36%)
Days since push
- dart-math
- 649d
- llm-course
- 224d
Open issues (now)
- dart-math
- 5
- llm-course
- 90
Stars delta
- dart-math
- +1 (30d)
- llm-course
- +1.5k (30d)
Open issues delta
- dart-math
- 0 (30d)
- llm-course
- +4 (30d)
Owner type
- dart-math
- Organization
- llm-course
- User
OSV dependency advisories
- dart-math
- No published findings from this source as of 2026-07-11
- llm-course
- No lockfile (source not queried)
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.
- Requirements: Min 8 GB RAM; Requires a solid understanding of deep learning frameworks like TensorFlow or PyTorch; Primarily developed for Python environment with packages such as Jupyter Notebook.
- Tags unique to dart-math: deep-learning, llm-evaluation, llm-inference, llm-training.
- Consider DART-Math when you need to improve the performance of your model on specific mathematical problems where difficulty is a critical factor.
When NOT to use dart-math
- Avoid using DART-Math when simplicity and ease-of-implementation are prioritized over performance gains on complex mathematical problems.
- Do not use DART-Math if your application does not require fine-tuning for varying levels of difficulty in problem-solving scenarios; simpler methods may suffice.
Choose llm-course if…
- License: llm-course is Apache-2.0, dart-math is MIT.
- Tags unique to llm-course: course, large-language-models, machine-learning, roadmap.
- Also covers Developer Tools, LLM Frameworks.
- Use llm-course if you are looking for a structured learning path that includes both theoretical and practical aspects of LLMs, from fundamentals to deployment.
When NOT to use llm-course
- Avoid llm-course if you are seeking a course that focuses solely on theoretical aspects without practical implementation.
- Do not use llm-course if you prefer a more formal certification program or a course that is part of a university curriculum.
- Skip llm-course if you are looking for a tool that provides only code snippets or pre-built models without a structured learning path.
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 Sep 20, 2026
- GitHub forks (hkust-nlp/dart-math) · observed Sep 20, 2026
- Last push (hkust-nlp/dart-math) · observed Dec 10, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (mlabonne/llm-course) · observed Sep 20, 2026
- GitHub forks (mlabonne/llm-course) · observed Sep 20, 2026
- Last push (mlabonne/llm-course) · observed Feb 5, 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 on cards: dart-math 121 · llm-course 83k (synced Sep 20, 2026).
Common questions
- What is the difference between dart-math and llm-course?
- 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; Requirements: Min 8 GB RAM; Requires a solid understanding of deep learning frameworks like TensorFlow or PyTorch; Primarily developed for Python environment with packages such as Jupyter Notebook; Tags unique to dart-math: deep-learning, llm-evaluation, llm-inference, llm-training; Consider DART-Math when you need to improve the performance of your model on specific mathematical problems where difficulty is a critical factor.
- 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; Tags unique to llm-course: course, large-language-models, machine-learning, roadmap; Also covers Developer Tools, LLM Frameworks; Use llm-course if you are looking for a structured learning path that includes both theoretical and practical aspects of LLMs, from fundamentals to deployment.
- When should I avoid dart-math?
- Avoid using DART-Math when simplicity and ease-of-implementation are prioritized over performance gains on complex mathematical problems. Do not use DART-Math if your application does not require fine-tuning for varying levels of difficulty in problem-solving scenarios; simpler methods may suffice.
- When should I avoid llm-course?
- Avoid llm-course if you are seeking a course that focuses solely on theoretical aspects without practical implementation. Do not use llm-course if you prefer a more formal certification program or a course that is part of a university curriculum. Skip llm-course if you are looking for a tool that provides only code snippets or pre-built models without a structured learning path.
- Is dart-math or llm-course more popular on GitHub?
- llm-course has more GitHub stars (83,011 vs 121). 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.