Comparison
auto-maple vs unsloth
Verdict
Pick auto-maple when tags unique to auto-maple: ai, computer-vision, machine-learning, maplestory; pick unsloth when requirements: Min 8 GB RAM; Ensure Python environment is set up correctly for both Studio and Core..
Markdown twin · auto-maple alternatives · unsloth alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | auto-maple | unsloth |
|---|---|---|
| Maintenance | Slowing (197d since push) As of today · github_public_v1 | Very active (0d 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) | No criticals As of today · osv@v1 | No lockfile As of 1d · none |
Tagline
- auto-maple
- Artificial intelligence for MapleStory that uses machine learning and computer vision to navigate challenging in-game environments
- unsloth
- A web UI for training and running open models locally.
Stars
- auto-maple
- 671
- unsloth
- 68k
Forks
- auto-maple
- 321
- unsloth
- 6.1k
Open issues
- auto-maple
- 60
- unsloth
- 1.1k
Language
- auto-maple
- Python
- unsloth
- Python
Adopt for
- auto-maple
- -
- unsloth
- Unsloth Studio provides a comprehensive web UI and code-based toolset, Unsloth Core, for training and deploying open-source language models locally. It supports a wide range of models including Gemma, Qwen3.6, LLaMA, and
Persona
- auto-maple
- -
- unsloth
- -
Runtime
- auto-maple
- -
- unsloth
- -
License
- auto-maple
- -
- unsloth
- Apache-2.0
Last pushed
- auto-maple
- Dec 26, 2025
- unsloth
- Jul 11, 2026
Categories
- auto-maple
- Computer Vision, Developer Tools, Model Training
- unsloth
- Developer Tools, Inference & Serving, Model Training
Trust and health
Maintenance
- auto-maple
- Slowing (36%)
- unsloth
- Very active (96%)
Days since push
- auto-maple
- 197d
- unsloth
- 0d
Open issues (now)
- auto-maple
- 60
- unsloth
- 1.1k
Owner type
- auto-maple
- User
- unsloth
- Organization
Security scan
- auto-maple
- No criticals
- unsloth
- No lockfile
Full report
- auto-maple
- Trust report
- unsloth
- Trust report
Shared compatibility
- Python · auto-maple: Python runtime · unsloth: Python runtime
Choose auto-maple if…
- Tags unique to auto-maple: ai, computer-vision, machine-learning, maplestory.
- Also covers Computer Vision.
- Leaner open-issue backlog (60).
When NOT to use auto-maple
- Last GitHub push was 198 days ago (slowing maintenance, Dec 26, 2025). Validate activity before betting a new project on auto-maple.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose unsloth if…
- Requirements: Min 8 GB RAM; Ensure Python environment is set up correctly for both Studio and Core..
- Tags unique to unsloth: agent, deepseek, fine-tuning, gemma.
- Also covers Inference & Serving.
- You should use Unsloth if you need both fine-tuning capabilities and reinforcement learning functionalities on local infrastructure.
When NOT to use unsloth
- Avoid using Unsloth if your primary requirement is cloud-based deployment and management; this tool focuses on local machine capabilities.
- Do not use Unsloth Core or Studio if you do not have the necessary infrastructure to support running language models locally, especially if you lack GPU resources.
- If security is a paramount concern and you cannot tolerate any potential risks of exposing local services (even with HTTPS tunnels), a fully managed cloud-based service might be more appropriate than虞
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (tanjeffreyz/auto-maple) · observed Jul 11, 2026
- GitHub forks (tanjeffreyz/auto-maple) · observed Jul 11, 2026
- Last push (tanjeffreyz/auto-maple) · observed Dec 26, 2025
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (unslothai/unsloth) · observed Jul 12, 2026
- GitHub forks (unslothai/unsloth) · observed Jul 12, 2026
- Last push (unslothai/unsloth) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 12, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: auto-maple 671 · unsloth 68k (synced Jul 11, 2026).
Common questions
- What is the difference between auto-maple and unsloth?
- auto-maple: Artificial intelligence for MapleStory that uses machine learning and computer vision to navigate challenging in-game environments. unsloth: A web UI for training and running open models locally.. See the comparison table for live GitHub stats and shared categories.
- When should I choose auto-maple over unsloth?
- Choose auto-maple over unsloth when Tags unique to auto-maple: ai, computer-vision, machine-learning, maplestory; Also covers Computer Vision; Leaner open-issue backlog (60).
- When should I choose unsloth over auto-maple?
- Choose unsloth over auto-maple when Requirements: Min 8 GB RAM; Ensure Python environment is set up correctly for both Studio and Core.; Tags unique to unsloth: agent, deepseek, fine-tuning, gemma; Also covers Inference & Serving; You should use Unsloth if you need both fine-tuning capabilities and reinforcement learning functionalities on local infrastructure.
- When should I avoid auto-maple?
- Last GitHub push was 198 days ago (slowing maintenance, Dec 26, 2025). Validate activity before betting a new project on auto-maple. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- When should I avoid unsloth?
- Avoid using Unsloth if your primary requirement is cloud-based deployment and management; this tool focuses on local machine capabilities. Do not use Unsloth Core or Studio if you do not have the necessary infrastructure to support running language models locally, especially if you lack GPU resources. If security is a paramount concern and you cannot tolerate any potential risks of exposing local services (even with HTTPS tunnels), a fully managed cloud-based service might be more appropriate than虞
- Is auto-maple or unsloth more popular on GitHub?
- unsloth has more GitHub stars (68,030 vs 671). Stars measure visibility, not whether either tool fits your constraints.
- Are auto-maple and unsloth open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to auto-maple or unsloth?
- GraphCanon lists graph-backed alternatives at auto-maple alternatives and unsloth alternatives (auto-maple markdown twin, unsloth 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, auto-maple or unsloth?
- auto-maple: Slowing. unsloth: 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 auto-maple and unsloth?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: auto-maple trust report; unsloth trust report.