Comparison
agentops vs langwatch
Verdict
Pick agentops if agentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage; pick langwatch if langWatch is a self-hostable platform for evaluating large language models and testing AI agents, supporting TypeScript and Node.js.
Markdown twin · agentops alternatives · langwatch alternatives
GraphCanon updated Sep 20, 2026
10views this month
vs
Trust & integrity
| Signal | agentops | langwatch |
|---|---|---|
| Maintenance | Steady (86d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 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 15, 2026 · osv@v1 | Published findings 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
- agentops
- Python SDK for AI agent monitoring and LLM cost tracking
- langwatch
- The platform for LLM evaluations and AI agent testing
Stars
- agentops
- 5.8k
- langwatch
- 4.8k
Forks
- agentops
- 625
- langwatch
- 393
Open issues
- agentops
- 184
- langwatch
- 1.0k
Language
- agentops
- Python
- langwatch
- TypeScript
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- langwatch
- LangWatch is a self-hostable platform for evaluating large language models and testing AI agents, supporting TypeScript and Node.js.
Persona
- agentops
- -
- langwatch
- -
Runtime
- agentops
- -
- langwatch
- -
License
- agentops
- MIT
- langwatch
- LangWatch is licensed under Apache-2.0, with enterprise modules needing a commercial license for production use.
Last pushed
- agentops
- Jun 25, 2026
- langwatch
- Sep 18, 2026
Categories
- agentops
- AI Agents, Evaluation & Observability
- langwatch
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agentops
- Steady (60%)
- langwatch
- Very active (96%)
Days since push
- agentops
- 86d
- langwatch
- 0d
Open issues (now)
- agentops
- 184
- langwatch
- 1.0k
Stars delta
- agentops
- +59 (30d)
- langwatch
- +1.3k (30d)
Open issues delta
- agentops
- +8 (30d)
- langwatch
- +225 (30d)
OSV dependency advisories
- agentops
- No lockfile (source not queried)
- langwatch
- Published findings
Full report
- agentops
- Trust report
- langwatch
- Trust report
Choose agentops if…
- agentops is primarily Python; langwatch is TypeScript.
- License: agentops is MIT, langwatch is Apache-2.0.
- Tags unique to agentops: ai-agents, benchmarking, cost-tracking.
- Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK
When NOT to use agentops
- If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI
- In case self-hosting of components is impractical due to resource constraints
Choose langwatch if…
- langwatch is primarily TypeScript; agentops is Python.
- License: langwatch is Apache-2.0, agentops is MIT.
- Pricing: The core platform is free under Apache-2.0, but enterprise modules require a commercial license for production..
- Requirements: Only Node.js is required for running LangWatch. For production use, refer to the self-hosting documentation..
- Tags unique to langwatch: agent-testing, ai, analytics, datasets.
- When you need a self-hostable solution for evaluating large language models and testing AI agents, especially if you are comfortable with TypeScript and Node.js.
When NOT to use langwatch
- If you prefer a cloud-hosted solution or do not have the capability to self-host a platform.
- If your project strictly requires open-source licensing without any commercial components, as LangWatch's enterprise modules require a commercial license for production use.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AgentOps-AI/agentops) · observed Sep 20, 2026
- GitHub forks (AgentOps-AI/agentops) · observed Sep 20, 2026
- Last push (AgentOps-AI/agentops) · observed Jun 25, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (langwatch/langwatch) · observed Sep 20, 2026
- GitHub forks (langwatch/langwatch) · observed Sep 20, 2026
- Last push (langwatch/langwatch) · 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: agentops 5.8k · langwatch 4.8k (synced Sep 20, 2026).
Common questions
- What is the difference between agentops and langwatch?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. langwatch: The platform for LLM evaluations and AI agent testing. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentops over langwatch?
- Choose agentops over langwatch when agentops is primarily Python; langwatch is TypeScript; License: agentops is MIT, langwatch is Apache-2.0; Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK.
- When should I choose langwatch over agentops?
- Choose langwatch over agentops when langwatch is primarily TypeScript; agentops is Python; License: langwatch is Apache-2.0, agentops is MIT; Pricing: The core platform is free under Apache-2.0, but enterprise modules require a commercial license for production.; Requirements: Only Node.js is required for running LangWatch. For production use, refer to the self-hosting documentation.; Tags unique to langwatch: agent-testing, ai, analytics, datasets; When you need a self-hostable solution for evaluating large language models and testing AI agents, especially if you are comfortable with TypeScript and Node.js.
- When should I avoid agentops?
- If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI In case self-hosting of components is impractical due to resource constraints
- When should I avoid langwatch?
- If you prefer a cloud-hosted solution or do not have the capability to self-host a platform. If your project strictly requires open-source licensing without any commercial components, as LangWatch's enterprise modules require a commercial license for production use.
- Is agentops or langwatch more popular on GitHub?
- agentops has more GitHub stars (5,830 vs 4,814). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and langwatch open source?
- Yes - both are open-source projects on GitHub (agentops: MIT, langwatch: Apache-2.0).
- Where can I find alternatives to agentops or langwatch?
- GraphCanon lists graph-backed alternatives at agentops alternatives and langwatch alternatives (agentops markdown twin, langwatch 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, agentops or langwatch?
- agentops: Steady. langwatch: 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 agentops and langwatch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; langwatch trust report.