Comparison
axolotl vs smartgpt
Verdict
Pick axolotl if axolotl is a Python-based framework designed for fine-tuning LLMs, requiring NVIDIA or AMD GPUs, Python 3.11+, and PyTorch ≥2.11.0; pick smartgpt if smartGPT stands out in its use of Rust as a foundational language, enabling more efficient and secure plugin-based task execution for large language models.
Markdown twin · axolotl alternatives · smartgpt alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | axolotl | smartgpt |
|---|---|---|
| Maintenance | Very active (1d since push) As of 3w · github_public_v1 | Dormant (856d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- axolotl
- Go ahead and axolotl questions
- smartgpt
- A program that provides LLMs with the ability to complete complex tasks using plugins.
Stars
- axolotl
- 12k
- smartgpt
- 1.7k
Forks
- axolotl
- 1.4k
- smartgpt
- 124
Open issues
- axolotl
- 277
- smartgpt
- 10
Language
- axolotl
- Python
- smartgpt
- Rust
Adopt for
- axolotl
- Axolotl is a Python-based framework designed for fine-tuning LLMs, requiring NVIDIA or AMD GPUs, Python 3.11+, and PyTorch ≥2.11.0.
- smartgpt
- SmartGPT stands out in its use of Rust as a foundational language, enabling more efficient and secure plugin-based task execution for large language models.
Persona
- axolotl
- -
- smartgpt
- -
Runtime
- axolotl
- -
- smartgpt
- -
License
- axolotl
- Apache-2.0
- smartgpt
- MIT
Last pushed
- axolotl
- Aug 1, 2026
- smartgpt
- Apr 11, 2024
Categories
- axolotl
- LLM Frameworks, Model Training
- smartgpt
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- axolotl
- Very active (96%)
- smartgpt
- Dormant (18%)
Days since push
- axolotl
- 1d
- smartgpt
- 856d
Open issues (now)
- axolotl
- 277
- smartgpt
- 10
Stars delta
- axolotl
- Unknown
- smartgpt
- 0 (30d)
Open issues delta
- axolotl
- Unknown
- smartgpt
- -1 (30d)
Owner type
- axolotl
- Organization
- smartgpt
- User
Full report
- axolotl
- Trust report
- smartgpt
- Trust report
Choose axolotl if…
- axolotl is primarily Python; smartgpt is Rust.
- License: axolotl is Apache-2.0, smartgpt is MIT.
- Requirements: Hardware requirement includes either NVIDIA (Ampere series or newer) or AMD GPUs.; Software requirements dictate the use of Python >=3.11, with version 3.12 recommended and PyTorch ≥2.11.0..
- Tags unique to axolotl: fine-tuning.
- Also covers Model Training.
- When working with newer NVIDIA Ampere series GPUs or modern AMD GPUs to leverage `bf16` and Flash Attention.
When NOT to use axolotl
- If you are constrained by older GPU models that do not support the required features like `bf16` or if your system does not have an NVIDIA or AMD GPU.
- In environments where Python version must be less than 3.11, as Axolotl requires at least Python 3.11 for operation.
Choose smartgpt if…
- smartgpt is primarily Rust; axolotl is Python.
- License: smartgpt is MIT, axolotl is Apache-2.0.
- Tags unique to smartgpt: ai, gpt-3, gpt-4, openai.
- Also covers AI Agents.
- smartgpt ships Docker support for self-hosted deployment.
- When you need a system built with Rust to leverage both performance and security while extending LLM capabilities.
When NOT to use smartgpt
- If your development team lacks experience in Rust, which could impede project progress.
- When the task does not require performance optimizations or secure interactions that come with SmartGPT’s architecture, opting for simpler LLM frameworks might be more appropriate.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (axolotl-ai-cloud/axolotl) · observed Aug 3, 2026
- GitHub forks (axolotl-ai-cloud/axolotl) · observed Aug 3, 2026
- Last push (axolotl-ai-cloud/axolotl) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Cormanz/smartgpt) · observed Aug 15, 2026
- GitHub forks (Cormanz/smartgpt) · observed Aug 15, 2026
- Last push (Cormanz/smartgpt) · observed Apr 11, 2024
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: axolotl 12k · smartgpt 1.7k (synced Aug 3, 2026).
Common questions
- What is the difference between axolotl and smartgpt?
- axolotl: Go ahead and axolotl questions. smartgpt: A program that provides LLMs with the ability to complete complex tasks using plugins.. See the comparison table for live GitHub stats and shared categories.
- When should I choose axolotl over smartgpt?
- Choose axolotl over smartgpt when axolotl is primarily Python; smartgpt is Rust; License: axolotl is Apache-2.0, smartgpt is MIT; Requirements: Hardware requirement includes either NVIDIA (Ampere series or newer) or AMD GPUs.; Software requirements dictate the use of Python >=3.11, with version 3.12 recommended and PyTorch ≥2.11.0.; Tags unique to axolotl: fine-tuning; Also covers Model Training; When working with newer NVIDIA Ampere series GPUs or modern AMD GPUs to leverage
bf16and Flash Attention. - When should I choose smartgpt over axolotl?
- Choose smartgpt over axolotl when smartgpt is primarily Rust; axolotl is Python; License: smartgpt is MIT, axolotl is Apache-2.0; Tags unique to smartgpt: ai, gpt-3, gpt-4, openai; Also covers AI Agents; smartgpt ships Docker support for self-hosted deployment; When you need a system built with Rust to leverage both performance and security while extending LLM capabilities.
- When should I avoid axolotl?
- If you are constrained by older GPU models that do not support the required features like
bf16or if your system does not have an NVIDIA or AMD GPU. In environments where Python version must be less than 3.11, as Axolotl requires at least Python 3.11 for operation. - When should I avoid smartgpt?
- If your development team lacks experience in Rust, which could impede project progress. When the task does not require performance optimizations or secure interactions that come with SmartGPT’s architecture, opting for simpler LLM frameworks might be more appropriate.
- Is axolotl or smartgpt more popular on GitHub?
- axolotl has more GitHub stars (12,297 vs 1,736). Stars measure visibility, not whether either tool fits your constraints.
- Are axolotl and smartgpt open source?
- Yes - both are open-source projects on GitHub (axolotl: Apache-2.0, smartgpt: MIT).
- Where can I find alternatives to axolotl or smartgpt?
- GraphCanon lists graph-backed alternatives at axolotl alternatives and smartgpt alternatives (axolotl markdown twin, smartgpt 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, axolotl or smartgpt?
- axolotl: Very active. smartgpt: 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 axolotl and smartgpt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: axolotl trust report; smartgpt trust report.