Home/Compare/airflow vs Alpaca

Comparison

airflow vs Alpaca

Verdict

Pick airflow when license: airflow is Apache-2.0, Alpaca is GPL-3.0; pick Alpaca when license: Alpaca is GPL-3.0, airflow is Apache-2.0.

Markdown twin · airflow alternatives · Alpaca alternatives

GraphCanon updated today

airflow logo

airflow

apache/airflow

46kpushed Jul 15, 2026
vs
Alpaca logo

Alpaca

Jeffser/Alpaca

1.6kpushed Jun 26, 2026

Trust & integrity

SignalairflowAlpaca
Maintenance
Very active (0d since push)
As of today · github_public_v1
Active (19d 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
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
Alpaca
🦙 Local and online AI hub

Stars

airflow
46k
Alpaca
1.6k

Forks

airflow
17k
Alpaca
144

Open issues

airflow
1.7k
Alpaca
122

Language

airflow
Python
Alpaca
Python

Adopt for

airflow
-
Alpaca
-

Persona

airflow
-
Alpaca
-

Runtime

airflow
-
Alpaca
-

License

airflow
Apache-2.0
Alpaca
GPL-3.0

Last pushed

airflow
Jul 15, 2026
Alpaca
Jun 26, 2026

Categories

airflow
AI Agents, Computer Vision, Data & Retrieval
Alpaca
Computer Vision, Inference & Serving, Vector Databases

Trust and health

Maintenance

airflow
Very active (96%)
Alpaca
Active (82%)

Days since push

airflow
0d
Alpaca
19d

Open issues (now)

airflow
1.7k
Alpaca
122

Owner type

airflow
Organization
Alpaca
User

Full report

Choose airflow if…

  • License: airflow is Apache-2.0, Alpaca is GPL-3.0.
  • 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 Alpaca if…

  • License: Alpaca is GPL-3.0, airflow is Apache-2.0.
  • Tags unique to Alpaca: adwaita, flatpak, gnome, gtk4.
  • Also covers Inference & Serving, Vector Databases.

When NOT to use Alpaca

  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

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 · Alpaca 1.6k (synced Jul 15, 2026).

Common questions

What is the difference between airflow and Alpaca?
airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows. Alpaca: 🦙 Local and online AI hub. See the comparison table for live GitHub stats and shared categories.
When should I choose airflow over Alpaca?
Choose airflow over Alpaca when License: airflow is Apache-2.0, Alpaca is GPL-3.0; 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 Alpaca over airflow?
Choose Alpaca over airflow when License: Alpaca is GPL-3.0, airflow is Apache-2.0; Tags unique to Alpaca: adwaita, flatpak, gnome, gtk4; Also covers Inference & Serving, Vector Databases.
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 Alpaca?
Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Is airflow or Alpaca more popular on GitHub?
airflow has more GitHub stars (46,124 vs 1,601). Stars measure visibility, not whether either tool fits your constraints.
Are airflow and Alpaca open source?
Yes - both are open-source projects on GitHub (airflow: Apache-2.0, Alpaca: GPL-3.0).
Where can I find alternatives to airflow or Alpaca?
GraphCanon lists graph-backed alternatives at airflow alternatives and Alpaca alternatives (airflow markdown twin, Alpaca 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 Alpaca?
airflow: Very active. Alpaca: 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 Alpaca?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: airflow trust report; Alpaca trust report.

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