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Comparison

llm-axe vs aqueduct

Verdict

Pick llm-axe if llm-axe is a Python-based toolkit aiming to facilitate quick applications development with local large language models, focusing on function-calling and compatibility with models like llama3; pick aqueduct if aqueduct is a deprecated Go-based tool for orchestrating LLM and ML workloads across various cloud infrastructures with Kubernetes support.

Markdown twin · llm-axe alternatives · aqueduct alternatives

GraphCanon updated 1w

llm-axe logo

llm-axe

emirsahin1/llm-axe

★ 275pushed Jan 5, 2025
vs
aqueduct logo

aqueduct

RunLLM/aqueduct

★ 517pushed Jun 7, 2023

Trust & integrity

Signalllm-axeaqueduct
Maintenance
Dormant (584d since push)
As of 1w · github_public_v1
Dormant (1152d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Personal account
As of 1w · github_public_v1
Not a fork · Organization account
As of 2w · 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
llm-axe trust reportaqueduct trust reportTrust methodology

Tagline

llm-axe
Toolkit for quick implementation of LLM powered applications
aqueduct
Orchestrate LLM and ML workloads on any cloud infrastructure using Go.

Stars

llm-axe
275
aqueduct
517

Forks

llm-axe
38
aqueduct
20

Open issues

llm-axe
0
aqueduct
11

Language

llm-axe
Python
aqueduct
Go

Adopt for

llm-axe
llm-axe is a Python-based toolkit aiming to facilitate quick applications development with local large language models, focusing on function-calling and compatibility with models like llama3.
aqueduct
Aqueduct is a deprecated Go-based tool for orchestrating LLM and ML workloads across various cloud infrastructures with Kubernetes support.

Persona

llm-axe
-
aqueduct
-

Runtime

llm-axe
-
aqueduct
-

License

llm-axe
MIT
aqueduct
Apache-2.0

Last pushed

llm-axe
Jan 5, 2025
aqueduct
Jun 7, 2023

Categories

llm-axe
LLM Frameworks, Model Training
aqueduct
Inference & Serving, LLM Frameworks, Model Training

Trust and health

Days since push

llm-axe
584d
aqueduct
1152d

Open issues (now)

llm-axe
0
aqueduct
11

Owner type

llm-axe
User
aqueduct
Organization

Full report

llm-axe
Trust report
aqueduct
Trust report

Choose llm-axe if…

  • llm-axe is primarily Python; aqueduct is Go.
  • License: llm-axe is MIT, aqueduct is Apache-2.0.
  • Tags unique to llm-axe: function-calling, llama3, local-llm, ollama.
  • When you need to develop LLM-powered applications quickly using local models, emphasizing simplicity and ease of integration.

When NOT to use llm-axe

  • Avoid if your project strictly requires cloud-based LLM resources or seamless model switching across different providers.
  • Not recommended for scenarios where extensive customization of the training pipeline is a requirement, as it focuses on implementation rather than deep training flexibility.
GitHubDetails

Choose aqueduct if…

  • aqueduct is primarily Go; llm-axe is Python.
  • License: aqueduct is Apache-2.0, llm-axe is MIT.
  • Tags unique to aqueduct: ai, data, data-science, kubernetes.
  • Also covers Inference & Serving.
  • When you need to deploy legacy workflows that depend on Aqueduct's specific implementation of custom ops for resource allocation and training.

When NOT to use aqueduct

  • Avoid if active project maintenance or community support is required as Aqueduct is no longer maintained.
  • Skip this tool for new projects focusing on state-of-the-art ML orchestration, opting instead for actively supported alternatives.
GitHubDetails

Explore

llm-axe trust report →aqueduct trust report →LLM Frameworks category →Model Training category →Inference & Serving 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: llm-axe 275 · aqueduct 517 (synced Aug 13, 2026).

Common questions

What is the difference between llm-axe and aqueduct?
llm-axe: Toolkit for quick implementation of LLM powered applications. aqueduct: Orchestrate LLM and ML workloads on any cloud infrastructure using Go.. See the comparison table for live GitHub stats and shared categories.
When should I choose llm-axe over aqueduct?
Choose llm-axe over aqueduct when llm-axe is primarily Python; aqueduct is Go; License: llm-axe is MIT, aqueduct is Apache-2.0; Tags unique to llm-axe: function-calling, llama3, local-llm, ollama; When you need to develop LLM-powered applications quickly using local models, emphasizing simplicity and ease of integration.
When should I choose aqueduct over llm-axe?
Choose aqueduct over llm-axe when aqueduct is primarily Go; llm-axe is Python; License: aqueduct is Apache-2.0, llm-axe is MIT; Tags unique to aqueduct: ai, data, data-science, kubernetes; Also covers Inference & Serving; When you need to deploy legacy workflows that depend on Aqueduct's specific implementation of custom ops for resource allocation and training.
When should I avoid llm-axe?
Avoid if your project strictly requires cloud-based LLM resources or seamless model switching across different providers. Not recommended for scenarios where extensive customization of the training pipeline is a requirement, as it focuses on implementation rather than deep training flexibility.
When should I avoid aqueduct?
Avoid if active project maintenance or community support is required as Aqueduct is no longer maintained. Skip this tool for new projects focusing on state-of-the-art ML orchestration, opting instead for actively supported alternatives.
Is llm-axe or aqueduct more popular on GitHub?
aqueduct has more GitHub stars (517 vs 275). Stars measure visibility, not whether either tool fits your constraints.
Are llm-axe and aqueduct open source?
Yes - both are open-source projects on GitHub (llm-axe: MIT, aqueduct: Apache-2.0).
Where can I find alternatives to llm-axe or aqueduct?
GraphCanon lists graph-backed alternatives at llm-axe alternatives and aqueduct alternatives (llm-axe markdown twin, aqueduct 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, llm-axe or aqueduct?
llm-axe: Dormant. aqueduct: 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 llm-axe and aqueduct?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-axe trust report; aqueduct trust report.

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