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
Trust & integrity
| Signal | langflow | trigger.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
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 (langflow-ai/langflow) · observed Sep 20, 2026
- GitHub forks (langflow-ai/langflow) · observed Sep 20, 2026
- Last push (langflow-ai/langflow) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (triggerdotdev/trigger.dev) · observed Sep 20, 2026
- GitHub forks (triggerdotdev/trigger.dev) · observed Sep 20, 2026
- Last push (triggerdotdev/trigger.dev) · observed Sep 20, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.