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 comprehensive tool for evaluating large language models (LLM) and testing AI agents. It supports self-hosting with flexible deployment options including Docker, Kubernetes, and cloud-specific setups.
Markdown twin · agentops alternatives · langwatch alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | agentops | langwatch |
|---|---|---|
| Maintenance | Steady (49d since push) As of 4d · github_public_v1 | Very active (0d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · 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
- 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
- 3.5k
Forks
- agentops
- 612
- langwatch
- 340
Open issues
- agentops
- 176
- langwatch
- 777
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 comprehensive tool for evaluating large language models (LLM) and testing AI agents. It supports self-hosting with flexible deployment options including Docker, Kubernetes, and cloud-specific setups.
Persona
- agentops
- -
- langwatch
- -
Runtime
- agentops
- -
- langwatch
- -
License
- agentops
- MIT
- langwatch
- LangWatch is licensed under Apache-2.0 for its core functionalities, but enterprise modules such as SCIM and audit logging require a commercial license.
Last pushed
- agentops
- Jun 25, 2026
- langwatch
- Aug 7, 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
- 49d
- langwatch
- 0d
Open issues (now)
- agentops
- 176
- langwatch
- 777
Stars delta
- agentops
- Unknown
- langwatch
- +152 (30d)
Open issues delta
- agentops
- Unknown
- langwatch
- +103 (30d)
OSV dependency advisories
- agentops
- No lockfile (source not queried)
- langwatch
- No published findings from this source as of 2026-07-11
Full report
- agentops
- Trust report
- langwatch
- Trust report
Shared compatibility
- Python · agentops: Python runtime · langwatch: Python runtime
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: Open-source editions are free with restrictions on certain advanced features that require a commercial license..
- Tags unique to langwatch: ai, analytics, datasets, evaluation.
- You need to evaluate LLMs and test AI agents in a controlled environment.
When NOT to use langwatch
- If you are looking for an out-of-the-box service without the complexity of setting up your own infrastructure, since LangWatch heavily leans towards self-hosting.
- You do not require advanced enterprise features like SCIM, audit logs, license management, as these features require a commercial license.
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 Aug 14, 2026
- GitHub forks (AgentOps-AI/agentops) · observed Aug 14, 2026
- Last push (AgentOps-AI/agentops) · observed Jun 25, 2026
- License file (MIT) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (langwatch/langwatch) · observed Aug 8, 2026
- GitHub forks (langwatch/langwatch) · observed Aug 8, 2026
- Last push (langwatch/langwatch) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentops 5.8k · langwatch 3.5k (synced Aug 14, 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: Open-source editions are free with restrictions on certain advanced features that require a commercial license.; Tags unique to langwatch: ai, analytics, datasets, evaluation; You need to evaluate LLMs and test AI agents in a controlled environment.
- 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 are looking for an out-of-the-box service without the complexity of setting up your own infrastructure, since LangWatch heavily leans towards self-hosting. You do not require advanced enterprise features like SCIM, audit logs, license management, as these features require a commercial license.
- Is agentops or langwatch more popular on GitHub?
- agentops has more GitHub stars (5,771 vs 3,479). 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.