Home/Compare/airflow vs last_layer

Comparison

airflow vs last_layer

Verdict

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

Markdown twin · airflow alternatives · last_layer alternatives

GraphCanon updated today

airflow logo

airflow

apache/airflow

46kpushed Jul 15, 2026
vs
last_layer logo

last_layer

arekusandr/last_layer

129pushed Jul 26, 2024

Trust & integrity

Signalairflowlast_layer
Maintenance
Very active (0d since push)
As of today · github_public_v1
Dormant (719d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of today · osv@v1
Published findings
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
last_layer
Ultra-fast, low latency LLM prompt injection/jailbreak detection ⛓️

Stars

airflow
46k
last_layer
129

Forks

airflow
17k
last_layer
4

Open issues

airflow
1.7k
last_layer
13

Language

airflow
Python
last_layer
Python

Adopt for

airflow
-
last_layer
-

Persona

airflow
-
last_layer
-

Runtime

airflow
-
last_layer
-

License

airflow
Apache-2.0
last_layer
MIT

Last pushed

airflow
Jul 15, 2026
last_layer
Jul 26, 2024

Categories

airflow
AI Agents, Computer Vision, Data & Retrieval
last_layer
Computer Vision, LLM Frameworks

Trust and health

Maintenance

airflow
Very active (96%)
last_layer
Dormant (18%)

Days since push

airflow
0d
last_layer
719d

Open issues (now)

airflow
1.7k
last_layer
13

Owner type

airflow
Organization
last_layer
User

OSV dependency advisories

airflow
No lockfile (source not queried)
last_layer
Published findings

Full report

last_layer
Trust report

Shared compatibility

  • Python · airflow: Python runtime · last_layer: Python runtime

Choose airflow if…

  • License: airflow is Apache-2.0, last_layer is MIT.
  • Tags unique to airflow: airflow, apache, apache-airflow, automation.
  • Also covers AI Agents, Data & Retrieval.
  • 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 last_layer if…

  • License: last_layer is MIT, airflow is Apache-2.0.
  • Tags unique to last_layer: chatgpt-prompts, jailbreak, large-language-models, llm-guard.
  • Also covers LLM Frameworks.

When NOT to use last_layer

  • Last GitHub push was 719 days ago (dormant maintenance, Jul 26, 2024). Validate activity before betting a new project on last_layer.
  • 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 · last_layer 129 (synced Jul 15, 2026).

Common questions

What is the difference between airflow and last_layer?
airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows. last_layer: Ultra-fast, low latency LLM prompt injection/jailbreak detection ⛓️. See the comparison table for live GitHub stats and shared categories.
When should I choose airflow over last_layer?
Choose airflow over last_layer when License: airflow is Apache-2.0, last_layer is MIT; Tags unique to airflow: airflow, apache, apache-airflow, automation; Also covers AI Agents, Data & Retrieval; airflow ships Docker support for self-hosted deployment.
When should I choose last_layer over airflow?
Choose last_layer over airflow when License: last_layer is MIT, airflow is Apache-2.0; Tags unique to last_layer: chatgpt-prompts, jailbreak, large-language-models, llm-guard; Also covers 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 last_layer?
Last GitHub push was 719 days ago (dormant maintenance, Jul 26, 2024). Validate activity before betting a new project on last_layer. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is airflow or last_layer more popular on GitHub?
airflow has more GitHub stars (46,124 vs 129). Stars measure visibility, not whether either tool fits your constraints.
Are airflow and last_layer open source?
Yes - both are open-source projects on GitHub (airflow: Apache-2.0, last_layer: MIT).
Where can I find alternatives to airflow or last_layer?
GraphCanon lists graph-backed alternatives at airflow alternatives and last_layer alternatives (airflow markdown twin, last_layer 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 last_layer?
airflow: Very active. last_layer: 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 airflow and last_layer?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: airflow trust report; last_layer trust report.

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