Comparison
ollama-python vs exllama
Verdict
Pick ollama-python if ollama Python Library simplifies integration of Python projects with Ollama for chat interactions, response streaming, and cloud model usage; pick exllama if exLlama provides a memory-efficient implementation of the LLaMa model with support for quantized weights, primarily aimed at users with NVIDIA GPUs from the 30-series onwards.
Markdown twin · ollama-python alternatives · exllama alternatives
GraphCanon updated Sep 20, 2026
13views this month
Trust & integrity
| Signal | ollama-python | exllama |
|---|---|---|
| Maintenance | Very active (4d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (1072d since push) As of Sep 7, 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 7, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 15, 2026 · osv@v1 | Published findings As of Jul 11, 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
- ollama-python
- Python library for integrating projects with Ollama.
- exllama
- Memory-efficient rewrite of HF transformers for Llama with quantized weights
Stars
- ollama-python
- 11k
- exllama
- 2.9k
Forks
- ollama-python
- 1.2k
- exllama
- 220
Open issues
- ollama-python
- 204
- exllama
- 65
Language
- ollama-python
- Python
- exllama
- Python
Adopt for
- ollama-python
- Ollama Python Library simplifies integration of Python projects with Ollama for chat interactions, response streaming, and cloud model usage.
- exllama
- ExLlama provides a memory-efficient implementation of the LLaMa model with support for quantized weights, primarily aimed at users with NVIDIA GPUs from the 30-series onwards.
Persona
- ollama-python
- -
- exllama
- -
Runtime
- ollama-python
- -
- exllama
- -
License
- ollama-python
- MIT
- exllama
- MIT
Last pushed
- ollama-python
- Sep 16, 2026
- exllama
- Sep 30, 2023
Categories
- ollama-python
- Inference & Serving, LLM Frameworks
- exllama
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- ollama-python
- Very active (96%)
- exllama
- Dormant (18%)
Days since push
- ollama-python
- 4d
- exllama
- 1072d
Open issues (now)
- ollama-python
- 204
- exllama
- 65
Stars delta
- ollama-python
- +137 (30d)
- exllama
- +6 (30d)
Open issues delta
- ollama-python
- +21 (30d)
- exllama
- 0 (30d)
Owner type
- ollama-python
- Organization
- exllama
- User
Full report
- ollama-python
- Trust report
- exllama
- Trust report
Choose ollama-python if…
- Tags unique to ollama-python: ai-integration, chat, ollama.
- When you need to integrate Python applications with models hosted on Ollama
- More GitHub stars (11k vs 2.9k) - visibility, not fit.
When NOT to use ollama-python
- If your setup does not support or require the integration of Python with Ollama
- In projects that require direct model hosting without external services like Ollama
- If you prefer using competitive libraries that offer more control over local processing
Choose exllama if…
- Tags unique to exllama: docker, llama model, memory-efficient, nvidia gpu.
- exllama ships Docker support for self-hosted deployment.
- - When deploying LLaMa models on NVIDIA GPUs from the 30-series or later that have strong FP16 support.
When NOT to use exllama
- - If you are operating older GPUs such as Pascal series, which lack robust FP16 support; alternatives like AutoGPTQ might perform better.
- - In scenarios that involve AMD GPU hardware (due to limited testing and optimization efforts).
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ollama/ollama-python) · observed Sep 20, 2026
- GitHub forks (ollama/ollama-python) · observed Sep 20, 2026
- Last push (ollama/ollama-python) · observed Sep 16, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (turboderp/exllama) · observed Sep 20, 2026
- GitHub forks (turboderp/exllama) · observed Sep 20, 2026
- Last push (turboderp/exllama) · observed Sep 30, 2023
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ollama-python 11k · exllama 2.9k (synced Sep 20, 2026).
Common questions
- What is the difference between ollama-python and exllama?
- ollama-python: Python library for integrating projects with Ollama.. exllama: Memory-efficient rewrite of HF transformers for Llama with quantized weights. See the comparison table for live GitHub stats and shared categories.
- When should I choose ollama-python over exllama?
- Choose ollama-python over exllama when Tags unique to ollama-python: ai-integration, chat, ollama; When you need to integrate Python applications with models hosted on Ollama; More GitHub stars (11k vs 2.9k) - visibility, not fit.
- When should I choose exllama over ollama-python?
- Choose exllama over ollama-python when Tags unique to exllama: docker, llama model, memory-efficient, nvidia gpu; exllama ships Docker support for self-hosted deployment; - When deploying LLaMa models on NVIDIA GPUs from the 30-series or later that have strong FP16 support.
- When should I avoid ollama-python?
- If your setup does not support or require the integration of Python with Ollama In projects that require direct model hosting without external services like Ollama If you prefer using competitive libraries that offer more control over local processing
- When should I avoid exllama?
- - If you are operating older GPUs such as Pascal series, which lack robust FP16 support; alternatives like AutoGPTQ might perform better. - In scenarios that involve AMD GPU hardware (due to limited testing and optimization efforts).
- Is ollama-python or exllama more popular on GitHub?
- ollama-python has more GitHub stars (10,539 vs 2,943). Stars measure visibility, not whether either tool fits your constraints.
- Are ollama-python and exllama open source?
- Yes - both are open-source projects on GitHub (ollama-python: MIT, exllama: MIT).
- Where can I find alternatives to ollama-python or exllama?
- GraphCanon lists graph-backed alternatives at ollama-python alternatives and exllama alternatives (ollama-python markdown twin, exllama 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, ollama-python or exllama?
- ollama-python: Very active. exllama: 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 ollama-python and exllama?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ollama-python trust report; exllama trust report.