Comparison
langchain-visualizer vs future-agi
Verdict
Pick langchain-visualizer if a Python-based tool for visualizing LangChain workflows, offering detailed insights into prompt interactions and execution flow; pick future-agi if future-AGI is an open-source platform for evaluating and observing LLM and AI agent applications, offering features like tracing, evaluations, simulations, and guardrails. It is self-hostable and supports deployment via,.
Markdown twin · langchain-visualizer alternatives · future-agi alternatives
GraphCanon updated Sep 20, 2026
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Trust & integrity
| Signal | langchain-visualizer | future-agi |
|---|---|---|
| Maintenance | Dormant (915d since push) As of Sep 8, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 8, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- langchain-visualizer
- Visualization and debugging tool for LangChain workflows
- future-agi
- Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications
Stars
- langchain-visualizer
- 738
- future-agi
- 2.0k
Forks
- langchain-visualizer
- 49
- future-agi
- 627
Open issues
- langchain-visualizer
- 11
- future-agi
- 961
Language
- langchain-visualizer
- Python
- future-agi
- Python
Adopt for
- langchain-visualizer
- A Python-based tool for visualizing LangChain workflows, offering detailed insights into prompt interactions and execution flow.
- future-agi
- Future-AGI is an open-source platform for evaluating and observing LLM and AI agent applications, offering features like tracing, evaluations, simulations, and guardrails. It is self-hostable and supports deployment via,
Persona
- langchain-visualizer
- -
- future-agi
- -
Runtime
- langchain-visualizer
- -
- future-agi
- -
License
- langchain-visualizer
- MIT
- future-agi
- Apache License 2.0, allowing for free use, modification, and distribution of the software, with the condition that any derivative works also be licensed under the same terms.
Last pushed
- langchain-visualizer
- Mar 6, 2024
- future-agi
- Sep 18, 2026
Categories
- langchain-visualizer
- Evaluation & Observability
- future-agi
- AI Agents, Evaluation & Observability, LLM Frameworks
Trust and health
Maintenance
- langchain-visualizer
- Dormant (18%)
- future-agi
- Very active (96%)
Days since push
- langchain-visualizer
- 915d
- future-agi
- 0d
Open issues (now)
- langchain-visualizer
- 11
- future-agi
- 961
Stars delta
- langchain-visualizer
- +1 (30d)
- future-agi
- +473 (30d)
Open issues delta
- langchain-visualizer
- 0 (30d)
- future-agi
- +365 (30d)
Owner type
- langchain-visualizer
- User
- future-agi
- Organization
Full report
- langchain-visualizer
- Trust report
- future-agi
- Trust report
Choose langchain-visualizer if…
- License: langchain-visualizer is MIT, future-agi is Apache-2.0.
- Tags unique to langchain-visualizer: cost-tracking, debugging, execution-flow, langchain.
- You prioritize UI aesthetics and colored highlighting of prompt parts.
When NOT to use langchain-visualizer
- Prefer the native tracing functionality provided by LangChain itself.
- Do not need detailed LLM call costs or execution flow insights.
Choose future-agi if…
- License: future-agi is Apache-2.0, langchain-visualizer is MIT.
- Pricing: The core platform is free and open-source under the Apache License 2.0. However, for managed services or additional support, contact sales for pricing..
- Requirements: Min 4 GB RAM; Requires Docker; Future-AGI requires Docker for deployment, with support for Docker Compose and upcoming Kubernetes and Helm support.; For production environments, a setup script is provided to generate secrets and pin image tags, ensuring a secure and reproducible deployment..
- Tags unique to future-agi: ai-agents, ai-evals, ai-gateway, ai-optimization.
- Also covers AI Agents, LLM Frameworks.
- future-agi ships Docker support for self-hosted deployment.
- You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic.
When NOT to use future-agi
- You require immediate Kubernetes or Helm support, as these are not yet available, though they are in development.
- You are seeking a managed service or a solution available through AWS Marketplace, as these options are not yet available, though they are planned for the future.
- Your project is in a highly dynamic environment where frequent updates and vendor support are critical, as Future-AGI is a community-driven project with a focus on self-hosting and open-source.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (amosjyng/langchain-visualizer) · observed Sep 20, 2026
- GitHub forks (amosjyng/langchain-visualizer) · observed Sep 20, 2026
- Last push (amosjyng/langchain-visualizer) · observed Mar 6, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (future-agi/future-agi) · observed Sep 20, 2026
- GitHub forks (future-agi/future-agi) · observed Sep 20, 2026
- Last push (future-agi/future-agi) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: langchain-visualizer 738 · future-agi 2.0k (synced Sep 20, 2026).
Common questions
- What is the difference between langchain-visualizer and future-agi?
- langchain-visualizer: Visualization and debugging tool for LangChain workflows. future-agi: Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. See the comparison table for live GitHub stats and shared categories.
- When should I choose langchain-visualizer over future-agi?
- Choose langchain-visualizer over future-agi when License: langchain-visualizer is MIT, future-agi is Apache-2.0; Tags unique to langchain-visualizer: cost-tracking, debugging, execution-flow, langchain; You prioritize UI aesthetics and colored highlighting of prompt parts.
- When should I choose future-agi over langchain-visualizer?
- Choose future-agi over langchain-visualizer when License: future-agi is Apache-2.0, langchain-visualizer is MIT; Pricing: The core platform is free and open-source under the Apache License 2.0. However, for managed services or additional support, contact sales for pricing.; Requirements: Min 4 GB RAM; Requires Docker; Future-AGI requires Docker for deployment, with support for Docker Compose and upcoming Kubernetes and Helm support.; For production environments, a setup script is provided to generate secrets and pin image tags, ensuring a secure and reproducible deployment.; Tags unique to future-agi: ai-agents, ai-evals, ai-gateway, ai-optimization; Also covers AI Agents, LLM Frameworks; future-agi ships Docker support for self-hosted deployment; You need a self-hostable solution that does not phone home, ensuring full control over your data and evaluation logic.
- When should I avoid langchain-visualizer?
- Prefer the native tracing functionality provided by LangChain itself. Do not need detailed LLM call costs or execution flow insights.
- When should I avoid future-agi?
- You require immediate Kubernetes or Helm support, as these are not yet available, though they are in development. You are seeking a managed service or a solution available through AWS Marketplace, as these options are not yet available, though they are planned for the future. Your project is in a highly dynamic environment where frequent updates and vendor support are critical, as Future-AGI is a community-driven project with a focus on self-hosting and open-source.
- Is langchain-visualizer or future-agi more popular on GitHub?
- future-agi has more GitHub stars (2,032 vs 738). Stars measure visibility, not whether either tool fits your constraints.
- Are langchain-visualizer and future-agi open source?
- Yes - both are open-source projects on GitHub (langchain-visualizer: MIT, future-agi: Apache-2.0).
- Where can I find alternatives to langchain-visualizer or future-agi?
- GraphCanon lists graph-backed alternatives at langchain-visualizer alternatives and future-agi alternatives (langchain-visualizer markdown twin, future-agi 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, langchain-visualizer or future-agi?
- langchain-visualizer: Dormant. future-agi: 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 langchain-visualizer and future-agi?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langchain-visualizer trust report; future-agi trust report.