Home/Compare/langflow vs trigger.dev

Comparison

langflow vs trigger.dev

Verdict

Pick langflow if langflow is a Python-based tool for building and deploying AI-powered agents and workflows, supporting multiagent systems and integration with large language models; pick trigger.dev if trigger.dev provides both cloud-managed and self-hosting options for deploying AI agents and workflows, with its platform built using TypeScript.

Markdown twin · langflow alternatives · trigger.dev alternatives

GraphCanon updated Sep 20, 2026

19views this month

langflow logo

langflow

langflow-ai/langflow

★ 155kpushed Sep 18, 2026
vs
trigger.dev logo

trigger.dev

triggerdotdev/trigger.dev

★ 16kpushed Sep 20, 2026

Trust & integrity

Signallangflowtrigger.dev
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Very active (0d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No published findings from this source as of 2026-09-18
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 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

Tagline

langflow
A tool for building and deploying AI-powered agents and workflows
trigger.dev
Build and deploy fully-managed AI agents and workflows

Stars

langflow
155k
trigger.dev
16k

Forks

langflow
10k
trigger.dev
1.5k

Open issues

langflow
1.1k
trigger.dev
336

Language

langflow
Python
trigger.dev
TypeScript

Adopt for

langflow
Langflow is a Python-based tool for building and deploying AI-powered agents and workflows, supporting multiagent systems and integration with large language models.
trigger.dev
Trigger.dev provides both cloud-managed and self-hosting options for deploying AI agents and workflows, with its platform built using TypeScript.

Persona

langflow
-
trigger.dev
-

Runtime

langflow
-
trigger.dev
-

License

langflow
MIT
trigger.dev
Apache-2.0

Last pushed

langflow
Sep 18, 2026
trigger.dev
Sep 20, 2026

Categories

langflow
AI Agents, Developer Tools
trigger.dev
AI Agents

Trust and health

Open issues (now)

langflow
1.1k
trigger.dev
336

Stars delta

langflow
+2.2k (30d)
trigger.dev
+277 (30d)

Open issues delta

langflow
+114 (30d)
trigger.dev
-104 (30d)

OSV dependency advisories

langflow
No published findings from this source as of 2026-09-18
trigger.dev
No lockfile (source not queried)

Full report

langflow
Trust report
trigger.dev
Trust report

Typed relationship

langflow alternative trigger.devBoth Trigger.dev and langflow are platforms for building AI-powered agents and workflows. They solve the same problem, but with different frameworks and features.

Choose langflow if…

  • langflow is primarily Python; trigger.dev is TypeScript.
  • License: langflow is MIT, trigger.dev is Apache-2.0.
  • Both Trigger.dev and langflow are platforms for building AI-powered agents and workflows. They solve the same problem, but with different frameworks and features.
  • Tags unique to langflow: agents, chatgpt, generative-ai, large-language-models.
  • Also covers Developer Tools.
  • When you need to develop AI agents and workflows that can integrate with large language models, as Langflow supports this integration directly.

When NOT to use langflow

  • If your project does not require the use of large language models or multiagent systems, as Langflow's strengths lie in these areas.
  • When you are working in an environment that does not support Python 3.10–3.14, as Langflow requires this specific version range.
  • If you are looking for a tool that does not require the use of the uv package manager, as Langflow recommends uv for installation and running.

Choose trigger.dev if…

  • trigger.dev is primarily TypeScript; langflow is Python.
  • License: trigger.dev is Apache-2.0, langflow is MIT.
  • Requirements: Min 4 GB RAM; Requires Docker; Self-hosting options are provided, but require Docker Compose or Kubernetes setup knowledge..
  • Both Trigger.dev and langflow are platforms for building AI-powered agents and workflows. They solve the same problem, but with different frameworks and features.
  • Tags unique to trigger.dev: ai-agents, automation, background-jobs, orchestration.
  • - **Custom Workflows**: If you need to implement complex, custom orchestrations involving different AI tasks that are well-defined and require scalability without managing infrastructure.

When NOT to use trigger.dev

  • - **Minimal AI Workloads**: If your AI usage is minimal or sporadic, you might find the overhead of setting up tasks using the SDK to be unnecessary complexity.
  • - **Cloud Agnosticism**: Preferring a solution that abstracts away cloud-specific configurations, as Trigger.dev’s focus on cloud-managed services and self-hosting options may require more manual work
  • - **Non-TypeScript Ecosystems**: If your project is predominantly in languages other than TypeScript or JavaScript, the available tooling through SDK might not align closely with existing workflows.

Explore

Sources

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

GitHub stars on cards: langflow 155k · trigger.dev 16k (synced Sep 20, 2026).

Common questions

What is the difference between langflow and trigger.dev?
langflow: A tool for building and deploying AI-powered agents and workflows. trigger.dev: Build and deploy fully-managed AI agents and workflows. See the comparison table for live GitHub stats and shared categories.
When should I choose langflow over trigger.dev?
Choose langflow over trigger.dev when langflow is primarily Python; trigger.dev is TypeScript; License: langflow is MIT, trigger.dev is Apache-2.0; Both Trigger.dev and langflow are platforms for building AI-powered agents and workflows. They solve the same problem, but with different frameworks and features; Tags unique to langflow: agents, chatgpt, generative-ai, large-language-models; Also covers Developer Tools; When you need to develop AI agents and workflows that can integrate with large language models, as Langflow supports this integration directly.
When should I choose trigger.dev over langflow?
Choose trigger.dev over langflow when trigger.dev is primarily TypeScript; langflow is Python; License: trigger.dev is Apache-2.0, langflow is MIT; Requirements: Min 4 GB RAM; Requires Docker; Self-hosting options are provided, but require Docker Compose or Kubernetes setup knowledge.; Both Trigger.dev and langflow are platforms for building AI-powered agents and workflows. They solve the same problem, but with different frameworks and features; Tags unique to trigger.dev: ai-agents, automation, background-jobs, orchestration; - **Custom Workflows**: If you need to implement complex, custom orchestrations involving different AI tasks that are well-defined and require scalability without managing infrastructure.
When should I avoid langflow?
If your project does not require the use of large language models or multiagent systems, as Langflow's strengths lie in these areas. When you are working in an environment that does not support Python 3.10–3.14, as Langflow requires this specific version range. If you are looking for a tool that does not require the use of the uv package manager, as Langflow recommends uv for installation and running.
When should I avoid trigger.dev?
- **Minimal AI Workloads**: If your AI usage is minimal or sporadic, you might find the overhead of setting up tasks using the SDK to be unnecessary complexity. - **Cloud Agnosticism**: Preferring a solution that abstracts away cloud-specific configurations, as Trigger.dev’s focus on cloud-managed services and self-hosting options may require more manual work - **Non-TypeScript Ecosystems**: If your project is predominantly in languages other than TypeScript or JavaScript, the available tooling through SDK might not align closely with existing workflows.
Is langflow or trigger.dev more popular on GitHub?
langflow has more GitHub stars (154,963 vs 16,347). Stars measure visibility, not whether either tool fits your constraints.
Are langflow and trigger.dev open source?
Yes - both are open-source projects on GitHub (langflow: MIT, trigger.dev: Apache-2.0).
Where can I find alternatives to langflow or trigger.dev?
GraphCanon lists graph-backed alternatives at langflow alternatives and trigger.dev alternatives (langflow markdown twin, trigger.dev 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, langflow or trigger.dev?
langflow: Very active. trigger.dev: 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 langflow and trigger.dev?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langflow trust report; trigger.dev trust report.

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