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 workflows using large language models and agent systems; 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 2w

langflow logo

langflow

langflow-ai/langflow

153kpushed Aug 2, 2026
vs
trigger.dev logo

trigger.dev

triggerdotdev/trigger.dev

16kpushed Jul 20, 2026

Trust & integrity

Signallangflowtrigger.dev
Maintenance
Very active (0d since push)
As of 2w · github_public_v1
Very active (0d since push)
As of 4w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 4w · github_public_v1
OSV dependency advisories
No published findings from this source as of 2026-07-11
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

Tagline

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

Stars

langflow
153k
trigger.dev
16k

Forks

langflow
9.7k
trigger.dev
1.4k

Open issues

langflow
972
trigger.dev
400

Language

langflow
Python
trigger.dev
TypeScript

Adopt for

langflow
Langflow is a Python-based tool for building and deploying AI workflows using large language models and agent systems.
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
Aug 2, 2026
trigger.dev
Jul 20, 2026

Categories

langflow
AI Agents, Model Training
trigger.dev
AI Agents

Trust and health

Open issues (now)

langflow
972
trigger.dev
400

OSV dependency advisories

langflow
No published findings from this source as of 2026-07-11
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.
  • Pricing: Open-source under MIT license with community and commercial options available; the OSS version is free to use at your own risk..
  • Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.10–3.14, the recommended uv package manager is beneficial but not explicitly required for installation.; Docker can be used to start a Langflow container with default settings..
  • 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 Model Training.
  • Use Langflow if you are working with Python versions from 3.10 to 3.14, as these versions are specifically supported for seamless operation of the tool.

When NOT to use langflow

  • Do not use Langflow if your Python environment does not align with version constraints between 3.10 and 3.14.
  • Langflow may not be the best fit if you are seeking a platform that operates without any language model integration, as it fundamentally relies on such models for its functionality.

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 153k · trigger.dev 16k (synced Aug 2, 2026).

Common questions

What is the difference between langflow and trigger.dev?
langflow: 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; Pricing: Open-source under MIT license with community and commercial options available; the OSS version is free to use at your own risk.; Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.10–3.14, the recommended uv package manager is beneficial but not explicitly required for installation.; Docker can be used to start a Langflow container with default settings.; 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 Model Training; Use Langflow if you are working with Python versions from 3.10 to 3.14, as these versions are specifically supported for seamless operation of the tool.
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?
Do not use Langflow if your Python environment does not align with version constraints between 3.10 and 3.14. Langflow may not be the best fit if you are seeking a platform that operates without any language model integration, as it fundamentally relies on such models for its functionality.
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 (152,744 vs 15,695). 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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