Comparison
LLMDebugger vs ollama
Verdict
Pick LLMDebugger when lLMDebugger is primarily Python; ollama is Go; pick ollama when ollama is primarily Go; LLMDebugger is Python.
Markdown twin · LLMDebugger alternatives · ollama alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | LLMDebugger | ollama |
|---|---|---|
| Maintenance | Dormant (669d since push) As of today · github_public_v1 | Very active (1d 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 | 52 low (52 low) As of today · osv@v1 |
Tagline
- LLMDebugger
- LDB: A Large Language Model Debugger via Verifying Runtime Execution Step by Step (ACL'24)
- ollama
- Get up and running with various large language models using Ollama.
Stars
- LLMDebugger
- 588
- ollama
- 176k
Forks
- LLMDebugger
- 56
- ollama
- 17k
Open issues
- LLMDebugger
- 5
- ollama
- 3.4k
Language
- LLMDebugger
- Python
- ollama
- Go
Adopt for
- LLMDebugger
- -
- ollama
- Ollama is a Go-based platform that provides tools for deploying and managing large language models (LLMs) like Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma using docker images, package managers, cloud and
Persona
- LLMDebugger
- -
- ollama
- -
Runtime
- LLMDebugger
- -
- ollama
- -
License
- LLMDebugger
- Apache-2.0
- ollama
- MIT license - permissive open-source licensing that allows for broad use of the tool.
Last pushed
- LLMDebugger
- Sep 10, 2024
- ollama
- Jul 10, 2026
Categories
- LLMDebugger
- LLM Frameworks, Inference & Serving
- ollama
- LLM Frameworks, Inference & Serving
Trust and health
Maintenance
- LLMDebugger
- Dormant (18%)
- ollama
- Very active (96%)
Days since push
- LLMDebugger
- 669d
- ollama
- 1d
Open issues (now)
- LLMDebugger
- 5
- ollama
- 3.4k
Owner type
- LLMDebugger
- User
- ollama
- Organization
Security scan
- LLMDebugger
- No criticals
- ollama
- 52 low (52 low)
Full report
- LLMDebugger
- Trust report
- ollama
- Trust report
Shared compatibility
- Python · LLMDebugger: Python runtime · ollama: Python runtime
Choose LLMDebugger if…
- LLMDebugger is primarily Python; ollama is Go.
- License: LLMDebugger is Apache-2.0, ollama is MIT.
- Tags unique to LLMDebugger: python.
When NOT to use LLMDebugger
- Last GitHub push was 669 days ago (dormant maintenance, Sep 10, 2024). Validate activity before betting a new project on LLMDebugger.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Choose ollama if…
- ollama is primarily Go; LLMDebugger is Python.
- License: ollama is MIT, LLMDebugger is Apache-2.0.
- Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers.
- Tags unique to ollama: go, llms, llama, mistral.
- ollama ships Docker support for self-hosted deployment.
- Use Ollama when you require a multi-model platform supporting several large language models such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and intend to deploy in various cloud or
When NOT to use ollama
- Avoid using Ollama if you are only interested in a single LLM deployment and seek simplified, model-specific solutions with tailored support rather than a comprehensive multi-model platform.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (FloridSleeves/LLMDebugger) · observed Jul 11, 2026
- GitHub forks (FloridSleeves/LLMDebugger) · observed Jul 11, 2026
- Last push (FloridSleeves/LLMDebugger) · observed Sep 10, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ollama/ollama) · observed Jul 11, 2026
- GitHub forks (ollama/ollama) · observed Jul 11, 2026
- Last push (ollama/ollama) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LLMDebugger 588 · ollama 176k (synced Jul 11, 2026).
Common questions
- What is the difference between LLMDebugger and ollama?
- LLMDebugger: LDB: A Large Language Model Debugger via Verifying Runtime Execution Step by Step (ACL'24). ollama: Get up and running with various large language models using Ollama.. See the comparison table for live GitHub stats and shared categories.
- When should I choose LLMDebugger over ollama?
- Choose LLMDebugger over ollama when LLMDebugger is primarily Python; ollama is Go; License: LLMDebugger is Apache-2.0, ollama is MIT; Tags unique to LLMDebugger: python.
- When should I choose ollama over LLMDebugger?
- Choose ollama over LLMDebugger when ollama is primarily Go; LLMDebugger is Python; License: ollama is MIT, LLMDebugger is Apache-2.0; Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers; Tags unique to ollama: go, llms, llama, mistral; ollama ships Docker support for self-hosted deployment; Use Ollama when you require a multi-model platform supporting several large language models such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and intend to deploy in various cloud or.
- When should I avoid LLMDebugger?
- Last GitHub push was 669 days ago (dormant maintenance, Sep 10, 2024). Validate activity before betting a new project on LLMDebugger. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- When should I avoid ollama?
- Avoid using Ollama if you are only interested in a single LLM deployment and seek simplified, model-specific solutions with tailored support rather than a comprehensive multi-model platform.
- Is LLMDebugger or ollama more popular on GitHub?
- ollama has more GitHub stars (175,936 vs 588). Stars measure visibility, not whether either tool fits your constraints.
- Are LLMDebugger and ollama open source?
- Yes - both are open-source projects on GitHub (LLMDebugger: Apache-2.0, ollama: MIT).
- Where can I find alternatives to LLMDebugger or ollama?
- GraphCanon lists graph-backed alternatives at LLMDebugger alternatives and ollama alternatives (LLMDebugger markdown twin, ollama 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, LLMDebugger or ollama?
- LLMDebugger: Dormant. ollama: 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 LLMDebugger and ollama?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LLMDebugger trust report; ollama trust report.