Home/Compare/airflow vs quant-mind

Comparison

airflow vs quant-mind

Verdict

Pick airflow when license: airflow is Apache-2.0, quant-mind is MIT; pick quant-mind when license: quant-mind is MIT, airflow is Apache-2.0.

Markdown twin · airflow alternatives · quant-mind alternatives

GraphCanon updated today

airflow logo

airflow

apache/airflow

46kpushed Jul 15, 2026
vs
quant-mind logo

quant-mind

LLMQuant/quant-mind

2.0kpushed Jul 15, 2026

Trust & integrity

Signalairflowquant-mind
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of today · osv@v1
No lockfile (source not queried)
As of today · 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

airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
quant-mind
QuantMind is an intelligent knowledge extraction and retrieval framework for quantitative finance.

Stars

airflow
46k
quant-mind
2.0k

Forks

airflow
17k
quant-mind
345

Open issues

airflow
1.7k
quant-mind
32

Language

airflow
Python
quant-mind
Python

Adopt for

airflow
-
quant-mind
-

Persona

airflow
-
quant-mind
-

Runtime

airflow
-
quant-mind
-

License

airflow
Apache-2.0
quant-mind
MIT

Last pushed

airflow
Jul 15, 2026
quant-mind
Jul 15, 2026

Categories

airflow
AI Agents, Computer Vision, Data & Retrieval
quant-mind
Data & Retrieval, Evaluation & Observability, LLM Frameworks

Trust and health

Open issues (now)

airflow
1.7k
quant-mind
32

Full report

quant-mind
Trust report

Shared compatibility

  • Python · airflow: Python runtime · quant-mind: Python runtime

Choose airflow if…

  • License: airflow is Apache-2.0, quant-mind is MIT.
  • Tags unique to airflow: airflow, apache, apache-airflow, automation.
  • Also covers AI Agents, Computer Vision.
  • airflow ships Docker support for self-hosted deployment.

When NOT to use airflow

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.

Choose quant-mind if…

  • License: quant-mind is MIT, airflow is Apache-2.0.
  • Tags unique to quant-mind: data, knowledge, llm, pipeline.
  • Also covers Evaluation & Observability, LLM Frameworks.

When NOT to use quant-mind

  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Explore

Sources

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

GitHub stars on cards: airflow 46k · quant-mind 2.0k (synced Jul 15, 2026).

Common questions

What is the difference between airflow and quant-mind?
airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows. quant-mind: QuantMind is an intelligent knowledge extraction and retrieval framework for quantitative finance.. See the comparison table for live GitHub stats and shared categories.
When should I choose airflow over quant-mind?
Choose airflow over quant-mind when License: airflow is Apache-2.0, quant-mind is MIT; Tags unique to airflow: airflow, apache, apache-airflow, automation; Also covers AI Agents, Computer Vision; airflow ships Docker support for self-hosted deployment.
When should I choose quant-mind over airflow?
Choose quant-mind over airflow when License: quant-mind is MIT, airflow is Apache-2.0; Tags unique to quant-mind: data, knowledge, llm, pipeline; Also covers Evaluation & Observability, LLM Frameworks.
When should I avoid airflow?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
When should I avoid quant-mind?
Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is airflow or quant-mind more popular on GitHub?
airflow has more GitHub stars (46,124 vs 2,006). Stars measure visibility, not whether either tool fits your constraints.
Are airflow and quant-mind open source?
Yes - both are open-source projects on GitHub (airflow: Apache-2.0, quant-mind: MIT).
Where can I find alternatives to airflow or quant-mind?
GraphCanon lists graph-backed alternatives at airflow alternatives and quant-mind alternatives (airflow markdown twin, quant-mind 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, airflow or quant-mind?
airflow: Very active. quant-mind: 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 airflow and quant-mind?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: airflow trust report; quant-mind trust report.

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