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Comparison

airunner vs fastDeploy

Verdict

Pick airunner if aIRunner supports offline multimodal operations with a strong focus on image generation, real-time voice conversations, and LLM-powered chatbots via GUI or API; pick fastDeploy if fastDeploy simplifies ML/DL model deployment focusing on minimal code for inference pipelines.

Markdown twin · airunner alternatives · fastDeploy alternatives

GraphCanon updated Sep 20, 2026

airunner logo

airunner

Capsize-Games/airunner

★ 1.3kpushed Aug 29, 2026
vs
fastDeploy logo

fastDeploy

notAI-tech/fastDeploy

★ 105pushed Feb 10, 2026

Trust & integrity

SignalairunnerfastDeploy
Maintenance
Very active (0d since push)
As of Aug 29, 2026 · github_public_v1
Slowing (221d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Aug 29, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 15, 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
airunner trust reportfastDeploy trust reportTrust methodology

Tagline

airunner
Offline inference engine for art, real-time voice conversations, LLM powered chatbots and automated workflows
fastDeploy
Deploy DL/ML inference pipelines with minimal extra code.

Stars

airunner
1.3k
fastDeploy
105

Forks

airunner
102
fastDeploy
17

Open issues

airunner
1
fastDeploy
0

Language

airunner
Python
fastDeploy
Python

Adopt for

airunner
AIRunner supports offline multimodal operations with a strong focus on image generation, real-time voice conversations, and LLM-powered chatbots via GUI or API.
fastDeploy
fastDeploy simplifies ML/DL model deployment focusing on minimal code for inference pipelines.

Persona

airunner
-
fastDeploy
-

Runtime

airunner
-
fastDeploy
-

License

airunner
GPL-3.0, ensuring free use but requiring sharing of modifications in a similar manner.
fastDeploy
MIT

Last pushed

airunner
Aug 29, 2026
fastDeploy
Feb 10, 2026

Categories

airunner
Computer Vision, Inference & Serving, Speech & Audio
fastDeploy
Inference & Serving

Trust and health

Maintenance

airunner
Very active (96%)
fastDeploy
Slowing (36%)

Days since push

airunner
0d
fastDeploy
221d

Open issues (now)

airunner
1
fastDeploy
0

Stars delta

airunner
+3 (30d)
fastDeploy
0 (30d)

Open issues delta

airunner
-4 (30d)
fastDeploy
0 (30d)

Full report

airunner
Trust report
fastDeploy
Trust report

Choose airunner if…

  • License: airunner is GPL-3.0, fastDeploy is MIT.
  • Requirements: Min 16 GB RAM; Requires Docker; Requires specific GPU support (NVIDIA) and larger storage allocations compared to competitors.
  • Tags unique to airunner: ai art, chatbot, image-generation, speech-to-text.
  • Also covers Computer Vision, Speech & Audio.
  • airunner ships Docker support for self-hosted deployment.
  • When needing an all-inclusive offline tool for both image generation and speech-to-text/text-to-speech functionalities

When NOT to use airunner

  • If your primary need is cloud-based services as AIRunner focuses on local deployments only
  • In scenarios where minimal hardware requirements are crucial, given AIRunner's higher system demands (min. 16 GB RAM, NVIDIA RTX 3060)
GitHubDetails

Choose fastDeploy if…

  • License: fastDeploy is MIT, airunner is GPL-3.0.
  • Pricing: -.
  • Requirements: - Python is required for running fastDeploy.; - Docker installation is suggested but not mandatory..
  • Tags unique to fastDeploy: deep-learning, docker, falcon, gevent.
  • When you aim to streamline the deployment of TensorFlow Serving, TorchServe, and Triton Inference Server models without extensive coding.

When NOT to use fastDeploy

  • Avoid if you are looking for a solution that supports real-time interactive deployments requiring advanced websocket handling beyond fastDeploy's basic capability.
  • Not recommended when the project requires heavy customization of deployment scripts, as it emphasizes minimal coding and may restrict flexibility in pipeline configurations.
GitHubDetails

Explore

airunner trust report →fastDeploy trust report →Computer Vision category →Inference & Serving category →Speech & Audio category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: airunner 1.3k · fastDeploy 105 (synced Sep 20, 2026).

Common questions

What is the difference between airunner and fastDeploy?
airunner: Offline inference engine for art, real-time voice conversations, LLM powered chatbots and automated workflows. fastDeploy: Deploy DL/ML inference pipelines with minimal extra code.. See the comparison table for live GitHub stats and shared categories.
When should I choose airunner over fastDeploy?
Choose airunner over fastDeploy when License: airunner is GPL-3.0, fastDeploy is MIT; Requirements: Min 16 GB RAM; Requires Docker; Requires specific GPU support (NVIDIA) and larger storage allocations compared to competitors; Tags unique to airunner: ai art, chatbot, image-generation, speech-to-text; Also covers Computer Vision, Speech & Audio; airunner ships Docker support for self-hosted deployment; When needing an all-inclusive offline tool for both image generation and speech-to-text/text-to-speech functionalities.
When should I choose fastDeploy over airunner?
Choose fastDeploy over airunner when License: fastDeploy is MIT, airunner is GPL-3.0; Pricing: -; Requirements: - Python is required for running fastDeploy.; - Docker installation is suggested but not mandatory.; Tags unique to fastDeploy: deep-learning, docker, falcon, gevent; When you aim to streamline the deployment of TensorFlow Serving, TorchServe, and Triton Inference Server models without extensive coding.
When should I avoid airunner?
If your primary need is cloud-based services as AIRunner focuses on local deployments only In scenarios where minimal hardware requirements are crucial, given AIRunner's higher system demands (min. 16 GB RAM, NVIDIA RTX 3060)
When should I avoid fastDeploy?
Avoid if you are looking for a solution that supports real-time interactive deployments requiring advanced websocket handling beyond fastDeploy's basic capability. Not recommended when the project requires heavy customization of deployment scripts, as it emphasizes minimal coding and may restrict flexibility in pipeline configurations.
Is airunner or fastDeploy more popular on GitHub?
airunner has more GitHub stars (1,315 vs 105). Stars measure visibility, not whether either tool fits your constraints.
Are airunner and fastDeploy open source?
Yes - both are open-source projects on GitHub (airunner: GPL-3.0, fastDeploy: MIT).
Where can I find alternatives to airunner or fastDeploy?
GraphCanon lists graph-backed alternatives at airunner alternatives and fastDeploy alternatives (airunner markdown twin, fastDeploy 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, airunner or fastDeploy?
airunner: Very active. fastDeploy: Slowing. 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 airunner and fastDeploy?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: airunner trust report; fastDeploy trust report.

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