Comparison
agentops vs langchain-production-starter
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 langchain-production-starter if langchain-production-starter offers a Python-based starter kit for deploying LangChain agents and integrating them with Telegram.
Markdown twin · agentops alternatives · langchain-production-starter alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | agentops | langchain-production-starter |
|---|---|---|
| Maintenance | Steady (49d since push) As of 1w · github_public_v1 | Dormant (1114d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · 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 | Published findings 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
- langchain-production-starter
- Deploy LangChain Agents and connect them to Telegram
Stars
- agentops
- 5.8k
- langchain-production-starter
- 477
Forks
- agentops
- 612
- langchain-production-starter
- 557
Open issues
- agentops
- 176
- langchain-production-starter
- 4
Language
- agentops
- Python
- langchain-production-starter
- Python
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- langchain-production-starter
- langchain-production-starter offers a Python-based starter kit for deploying LangChain agents and integrating them with Telegram.
Persona
- agentops
- -
- langchain-production-starter
- -
Runtime
- agentops
- -
- langchain-production-starter
- -
License
- agentops
- MIT
- langchain-production-starter
- -
Last pushed
- agentops
- Jun 25, 2026
- langchain-production-starter
- Jul 27, 2023
Categories
- agentops
- AI Agents, Evaluation & Observability
- langchain-production-starter
- AI Agents
Trust and health
Maintenance
- agentops
- Steady (60%)
- langchain-production-starter
- Dormant (18%)
Days since push
- agentops
- 49d
- langchain-production-starter
- 1114d
Open issues (now)
- agentops
- 176
- langchain-production-starter
- 4
Stars delta
- agentops
- Unknown
- langchain-production-starter
- 0 (30d)
Open issues delta
- agentops
- Unknown
- langchain-production-starter
- 0 (30d)
OSV dependency advisories
- agentops
- No lockfile (source not queried)
- langchain-production-starter
- Published findings
Full report
- agentops
- Trust report
- langchain-production-starter
- Trust report
Shared compatibility
- Python · agentops: Python runtime · langchain-production-starter: Python runtime
Choose agentops if…
- Tags unique to agentops: ai-agents, benchmarking, cost-tracking.
- Also covers Evaluation & Observability.
- 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 langchain-production-starter if…
- Tags unique to langchain-production-starter: chatbot, gpt4, langchain, langchain-python.
- - You require integration of your AI chatbot with the Telegram platform, as this tool specifically includes instructions to fetch a Telegram key for such integration.
- Leaner open-issue backlog (4).
When NOT to use langchain-production-starter
- - If you are not using Python as your primary language since the repository requires installing dependencies with 'pip', making it less suitable if your development is in another language.
- - Projects that do not require Telegram integration can find this starter kit less relevant, as a significant portion of its setup guide focuses on connecting to Telegram.
- - If you need to deploy agents without any social media or messaging platform integrations.
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 (steamship-core/langchain-production-starter) · observed Aug 14, 2026
- GitHub forks (steamship-core/langchain-production-starter) · observed Aug 14, 2026
- Last push (steamship-core/langchain-production-starter) · observed Jul 27, 2023
- License file (unknown) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentops 5.8k · langchain-production-starter 477 (synced Aug 14, 2026).
Common questions
- What is the difference between agentops and langchain-production-starter?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. langchain-production-starter: Deploy LangChain Agents and connect them to Telegram. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentops over langchain-production-starter?
- Choose agentops over langchain-production-starter when Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Also covers Evaluation & Observability; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK.
- When should I choose langchain-production-starter over agentops?
- Choose langchain-production-starter over agentops when Tags unique to langchain-production-starter: chatbot, gpt4, langchain, langchain-python; - You require integration of your AI chatbot with the Telegram platform, as this tool specifically includes instructions to fetch a Telegram key for such integration; Leaner open-issue backlog (4).
- 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 langchain-production-starter?
- - If you are not using Python as your primary language since the repository requires installing dependencies with 'pip', making it less suitable if your development is in another language. - Projects that do not require Telegram integration can find this starter kit less relevant, as a significant portion of its setup guide focuses on connecting to Telegram. - If you need to deploy agents without any social media or messaging platform integrations.
- Is agentops or langchain-production-starter more popular on GitHub?
- agentops has more GitHub stars (5,771 vs 477). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and langchain-production-starter open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to agentops or langchain-production-starter?
- GraphCanon lists graph-backed alternatives at agentops alternatives and langchain-production-starter alternatives (agentops markdown twin, langchain-production-starter 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 langchain-production-starter?
- agentops: Steady. langchain-production-starter: Dormant. 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 langchain-production-starter?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; langchain-production-starter trust report.