Comparison
activepieces vs langflow
Verdict
Pick activepieces if activePieces is an open-source platform for building and managing AI-powered workflows and agents through MCP (Microservices Control Plane) servers, enabling advanced automation tailored to complex needs; pick langflow if langflow is a Python-based tool for building and deploying AI workflows using large language models and agent systems.
Markdown twin · activepieces alternatives · langflow alternatives
GraphCanon updated 2d
Trust & integrity
| Signal | activepieces | langflow |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4w · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 2d · osv@v1 | No published findings from this source as of 2026-07-11 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
- activepieces
- AI Agents & MCPs & AI Workflow Automation
- langflow
- Tool for building and deploying AI-powered agents and workflows
Stars
- activepieces
- 23k
- langflow
- 153k
Forks
- activepieces
- 3.9k
- langflow
- 9.7k
Open issues
- activepieces
- 434
- langflow
- 972
Language
- activepieces
- TypeScript
- langflow
- Python
Adopt for
- activepieces
- ActivePieces is an open-source platform for building and managing AI-powered workflows and agents through MCP (Microservices Control Plane) servers, enabling advanced automation tailored to complex needs.
- langflow
- Langflow is a Python-based tool for building and deploying AI workflows using large language models and agent systems.
Persona
- activepieces
- -
- langflow
- -
Runtime
- activepieces
- -
- langflow
- -
License
- activepieces
- ActivePieces offers its Community Edition under the MIT license promoting free and open distribution. However, enterprise features come with a Commercial License which restricts usage based on terms
- langflow
- MIT
Last pushed
- activepieces
- Jul 20, 2026
- langflow
- Aug 2, 2026
Categories
- activepieces
- AI Agents
- langflow
- AI Agents, Model Training
Trust and health
Open issues (now)
- activepieces
- 434
- langflow
- 972
OSV dependency advisories
- activepieces
- No lockfile (source not queried)
- langflow
- No published findings from this source as of 2026-07-11
Full report
- activepieces
- Trust report
- langflow
- Trust report
Typed relationship
Choose activepieces if…
- activepieces is primarily TypeScript; langflow is Python.
- License: activepieces is Other, langflow is MIT.
- Pricing: The pricing details are not fully disclosed in the repository but can be accessed through their official site..
- Requirements: While specific system requirements aren’t detailed, its capabilities suggest a substantial hardware investment for larger implementations. Docker isn't required.
- Activepieces and langflow both offer tools for building and deploying AI-powered agents and workflows, making them alternatives in the space of automation.
- Tags unique to activepieces: ai-agent, ai-agents-framework, mcp-server, n8n-alternative.
- activepieces ships Docker support for self-hosted deployment.
- - You need a robust solution for managing up to ~400 MCP servers dedicated for AI agents.
When NOT to use activepieces
- - If the project's scale is limited, as ActivePieces is designed with extensive scalability (up to ~400 MCP servers) potentially offering more firepower than necessary for small tasks.
- - When absolute no-code solutions are preferred, since while ActivePieces aims at simplifying AI workflow automation, it does require some coding knowledge in TypeScript.
Choose langflow if…
- langflow is primarily Python; activepieces is TypeScript.
- License: langflow is MIT, activepieces is Other.
- 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..
- Activepieces and langflow both offer tools for building and deploying AI-powered agents and workflows, making them alternatives in the space of automation.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (activepieces/activepieces) · observed Jul 20, 2026
- GitHub forks (activepieces/activepieces) · observed Jul 20, 2026
- Last push (activepieces/activepieces) · observed Jul 20, 2026
- License file (Other) · observed Jul 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Aug 16, 2026
- GitHub stars (langflow-ai/langflow) · observed Aug 2, 2026
- GitHub forks (langflow-ai/langflow) · observed Aug 2, 2026
- Last push (langflow-ai/langflow) · observed Aug 2, 2026
- License file (MIT) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: activepieces 23k · langflow 153k (synced Jul 20, 2026).
Common questions
- What is the difference between activepieces and langflow?
- activepieces: AI Agents & MCPs & AI Workflow Automation. langflow: Tool for building and deploying AI-powered agents and workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose activepieces over langflow?
- Choose activepieces over langflow when activepieces is primarily TypeScript; langflow is Python; License: activepieces is Other, langflow is MIT; Pricing: The pricing details are not fully disclosed in the repository but can be accessed through their official site.; Requirements: While specific system requirements aren’t detailed, its capabilities suggest a substantial hardware investment for larger implementations. Docker isn't required; Activepieces and langflow both offer tools for building and deploying AI-powered agents and workflows, making them alternatives in the space of automation; Tags unique to activepieces: ai-agent, ai-agents-framework, mcp-server, n8n-alternative; activepieces ships Docker support for self-hosted deployment; - You need a robust solution for managing up to ~400 MCP servers dedicated for AI agents.
- When should I choose langflow over activepieces?
- Choose langflow over activepieces when langflow is primarily Python; activepieces is TypeScript; License: langflow is MIT, activepieces is Other; 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.; Activepieces and langflow both offer tools for building and deploying AI-powered agents and workflows, making them alternatives in the space of automation; 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 avoid activepieces?
- - If the project's scale is limited, as ActivePieces is designed with extensive scalability (up to ~400 MCP servers) potentially offering more firepower than necessary for small tasks. - When absolute no-code solutions are preferred, since while ActivePieces aims at simplifying AI workflow automation, it does require some coding knowledge in TypeScript.
- 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.
- Is activepieces or langflow more popular on GitHub?
- langflow has more GitHub stars (152,744 vs 23,341). Stars measure visibility, not whether either tool fits your constraints.
- Are activepieces and langflow open source?
- Yes - both are open-source projects on GitHub (activepieces: Other, langflow: MIT).
- Where can I find alternatives to activepieces or langflow?
- GraphCanon lists graph-backed alternatives at activepieces alternatives and langflow alternatives (activepieces markdown twin, langflow 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, activepieces or langflow?
- activepieces: Very active. langflow: 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 activepieces and langflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: activepieces trust report; langflow trust report.