Comparison
paddler vs ollama
Verdict
Pick paddler if paddler offers a streamlined approach to serve LLMs/VLMs with minimal setup complexity, focusing on scaling through simplicity; pick ollama if 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.
Markdown twin · paddler alternatives · ollama alternatives
GraphCanon updated today
Trust & integrity
| Signal | paddler | ollama |
|---|---|---|
| Maintenance | Steady (31d since push) As of today · github_public_v1 | Very active (1d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Published findings As of 1w · deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | No public record from this source As of 2w · openssf-scorecard@v1 |
Tagline
- paddler
- Open-source LLM/VLM load balancer and serving platform for self-hosting at scale
- ollama
- Get up and running with various large language models using Ollama.
Stars
- paddler
- 1.7k
- ollama
- 178k
Forks
- paddler
- 97
- ollama
- 17k
Open issues
- paddler
- 29
- ollama
- 3.6k
Language
- paddler
- Rust
- ollama
- Go
Adopt for
- paddler
- Paddler offers a streamlined approach to serve LLMs/VLMs with minimal setup complexity, focusing on scaling through simplicity.
- 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
- paddler
- -
- ollama
- -
Runtime
- paddler
- -
- ollama
- -
License
- paddler
- Apache-2.0
- ollama
- MIT license - permissive open-source licensing that allows for broad use of the tool.
Last pushed
- paddler
- Jul 19, 2026
- ollama
- Jul 31, 2026
Categories
- paddler
- Inference & Serving
- ollama
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- paddler
- Steady (60%)
- ollama
- Very active (96%)
Days since push
- paddler
- 31d
- ollama
- 1d
Open issues (now)
- paddler
- 29
- ollama
- 3.6k
Stars delta
- paddler
- +21 (30d)
- ollama
- Unknown
Open issues delta
- paddler
- +3 (30d)
- ollama
- Unknown
OSV dependency advisories
- paddler
- No published findings from this source as of 2026-07-11
- ollama
- Published findings
deps.dev advisories
- paddler
- Not queried
- ollama
- Published findings
OpenSSF Scorecard
- paddler
- Not queried
- ollama
- No public record from this source
Full report
- paddler
- Trust report
- ollama
- Trust report
Typed relationship
paddler alternative ollamaPaddler and ollama both serve as platforms to run various LLMs but Paddler focuses more on load balancing and simple deployment, making them alternatives in this context.
Choose paddler if…
- paddler is primarily Rust; ollama is Go.
- License: paddler is Apache-2.0, ollama is MIT.
- Paddler and ollama both serve as platforms to run various LLMs but Paddler focuses more on load balancing and simple deployment, making them alternatives in this context.
- Tags unique to paddler: ai, cpu, gpu, llamacpp.
- Need a platform that simplifies deployments around the ggml ecosystem for self-hosting at scale
When NOT to use paddler
- Require extensive customization options in model serving infrastructure that Paddler's minimalistic design does not support
- Seek complex feature sets beyond simple scale-out capabilities, which might be found in more comprehensive platforms
Choose ollama if…
- ollama is primarily Go; paddler is Rust.
- License: ollama is MIT, paddler is Apache-2.0.
- Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers.
- Paddler and ollama both serve as platforms to run various LLMs but Paddler focuses more on load balancing and simple deployment, making them alternatives in this context.
- Tags unique to ollama: deepseek, gemma, glm, go.
- Also covers LLM Frameworks.
- 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 (intentee/paddler) · observed Aug 20, 2026
- GitHub forks (intentee/paddler) · observed Aug 20, 2026
- Last push (intentee/paddler) · observed Jul 19, 2026
- License file (Apache-2.0) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ollama/ollama) · observed Aug 2, 2026
- GitHub forks (ollama/ollama) · observed Aug 2, 2026
- Last push (ollama/ollama) · observed Jul 31, 2026
- License file (MIT) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: paddler 1.7k · ollama 178k (synced Aug 20, 2026).
Common questions
- What is the difference between paddler and ollama?
- paddler: Open-source LLM/VLM load balancer and serving platform for self-hosting at scale. 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 paddler over ollama?
- Choose paddler over ollama when paddler is primarily Rust; ollama is Go; License: paddler is Apache-2.0, ollama is MIT; Paddler and ollama both serve as platforms to run various LLMs but Paddler focuses more on load balancing and simple deployment, making them alternatives in this context; Tags unique to paddler: ai, cpu, gpu, llamacpp; Need a platform that simplifies deployments around the ggml ecosystem for self-hosting at scale.
- When should I choose ollama over paddler?
- Choose ollama over paddler when ollama is primarily Go; paddler is Rust; License: ollama is MIT, paddler is Apache-2.0; Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers; Paddler and ollama both serve as platforms to run various LLMs but Paddler focuses more on load balancing and simple deployment, making them alternatives in this context; Tags unique to ollama: deepseek, gemma, glm, go; Also covers LLM Frameworks; 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 paddler?
- Require extensive customization options in model serving infrastructure that Paddler's minimalistic design does not support Seek complex feature sets beyond simple scale-out capabilities, which might be found in more comprehensive platforms
- 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 paddler or ollama more popular on GitHub?
- ollama has more GitHub stars (177,524 vs 1,663). Stars measure visibility, not whether either tool fits your constraints.
- Are paddler and ollama open source?
- Yes - both are open-source projects on GitHub (paddler: Apache-2.0, ollama: MIT).
- Where can I find alternatives to paddler or ollama?
- GraphCanon lists graph-backed alternatives at paddler alternatives and ollama alternatives (paddler 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, paddler or ollama?
- paddler: Steady. 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 paddler and ollama?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: paddler trust report; ollama trust report.