Comparison
agentops vs openlit
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 openlit if openLIT is an open-source observability and evaluation platform for AI and coding agents, leveraging OpenTelemetry for tracking performance and costs.
Markdown twin · agentops alternatives · openlit alternatives
GraphCanon updated Sep 20, 2026
12views this month
vs
Trust & integrity
| Signal | agentops | openlit |
|---|---|---|
| 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 | 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
- agentops
- Python SDK for AI agent monitoring and LLM cost tracking
- openlit
- Open-source observability & evaluation platform for AI agents and coding agents
Stars
- agentops
- 5.8k
- openlit
- 2.8k
Forks
- agentops
- 625
- openlit
- 390
Open issues
- agentops
- 184
- openlit
- 77
Language
- agentops
- Python
- openlit
- TypeScript
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- openlit
- OpenLIT is an open-source observability and evaluation platform for AI and coding agents, leveraging OpenTelemetry for tracking performance and costs.
Persona
- agentops
- -
- openlit
- -
Runtime
- agentops
- -
- openlit
- -
License
- agentops
- MIT
- openlit
- Apache-2.0
Last pushed
- agentops
- Jun 25, 2026
- openlit
- Sep 17, 2026
Categories
- agentops
- AI Agents, Evaluation & Observability
- openlit
- Evaluation & Observability
Trust and health
Maintenance
- agentops
- Steady (60%)
- openlit
- Very active (96%)
Days since push
- agentops
- 86d
- openlit
- 0d
Open issues (now)
- agentops
- 184
- openlit
- 77
Stars delta
- agentops
- +59 (30d)
- openlit
- +106 (30d)
Open issues delta
- agentops
- +8 (30d)
- openlit
- +29 (30d)
Full report
- agentops
- Trust report
- openlit
- Trust report
Shared compatibility
- Python · agentops: Python runtime · openlit: Python runtime
Choose agentops if…
- agentops is primarily Python; openlit is TypeScript.
- License: agentops is MIT, openlit is Apache-2.0.
- Tags unique to agentops: ai-agents, benchmarking, cost-tracking.
- Also covers AI Agents.
- 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 openlit if…
- openlit is primarily TypeScript; agentops is Python.
- License: openlit is Apache-2.0, agentops is MIT.
- Pricing: OpenLIT is free and open-source under the Apache License 2.0..
- Requirements: Installation is available via pip for Python and npm for TypeScript..
- Tags unique to openlit: ai-engineering, ai-evaluation, ai-observability, ai-observability-platform.
- openlit ships Docker support for self-hosted deployment.
- When you need to track and evaluate the performance and costs of AI and coding agents using OpenTelemetry.
When NOT to use openlit
- If your project does not require observability and evaluation features for AI and coding agents.
- When you prefer proprietary tools over open-source solutions.
- If your project does not involve AI applications or does not need detailed cost tracking across multiple dimensions.
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 (openlit/openlit) · observed Sep 20, 2026
- GitHub forks (openlit/openlit) · observed Sep 20, 2026
- Last push (openlit/openlit) · observed Sep 17, 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 · openlit 2.8k (synced Sep 20, 2026).
Common questions
- What is the difference between agentops and openlit?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. openlit: Open-source observability & evaluation platform for AI agents and coding agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentops over openlit?
- Choose agentops over openlit when agentops is primarily Python; openlit is TypeScript; License: agentops is MIT, openlit is Apache-2.0; Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Also covers AI Agents; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK.
- When should I choose openlit over agentops?
- Choose openlit over agentops when openlit is primarily TypeScript; agentops is Python; License: openlit is Apache-2.0, agentops is MIT; Pricing: OpenLIT is free and open-source under the Apache License 2.0.; Requirements: Installation is available via pip for Python and npm for TypeScript.; Tags unique to openlit: ai-engineering, ai-evaluation, ai-observability, ai-observability-platform; openlit ships Docker support for self-hosted deployment; When you need to track and evaluate the performance and costs of AI and coding agents using OpenTelemetry.
- 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 openlit?
- If your project does not require observability and evaluation features for AI and coding agents. When you prefer proprietary tools over open-source solutions. If your project does not involve AI applications or does not need detailed cost tracking across multiple dimensions.
- Is agentops or openlit more popular on GitHub?
- agentops has more GitHub stars (5,830 vs 2,770). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and openlit open source?
- Yes - both are open-source projects on GitHub (agentops: MIT, openlit: Apache-2.0).
- Where can I find alternatives to agentops or openlit?
- GraphCanon lists graph-backed alternatives at agentops alternatives and openlit alternatives (agentops markdown twin, openlit 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 openlit?
- agentops: Steady. openlit: 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 openlit?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; openlit trust report.