Comparison
agentops vs aim
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 aim if aim is an easy-to-use experiment tracker for Python ML projects with robust features like metadata tracking and compatibility with various frameworks.
Markdown twin · agentops alternatives · aim alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | agentops | aim |
|---|---|---|
| Maintenance | Steady (49d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- aim
- An easy-to-use & supercharged open-source experiment tracker
Stars
- agentops
- 5.8k
- aim
- 6.2k
Forks
- agentops
- 612
- aim
- 401
Open issues
- agentops
- 176
- aim
- 465
Language
- agentops
- Python
- aim
- Python
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- aim
- Aim is an easy-to-use experiment tracker for Python ML projects with robust features like metadata tracking and compatibility with various frameworks.
Persona
- agentops
- -
- aim
- -
Runtime
- agentops
- -
- aim
- -
License
- agentops
- MIT
- aim
- Apache-2.0
Last pushed
- agentops
- Jun 25, 2026
- aim
- Jul 27, 2026
Categories
- agentops
- AI Agents, Evaluation & Observability
- aim
- Evaluation & Observability, Model Training
Trust and health
Maintenance
- agentops
- Steady (60%)
- aim
- Very active (96%)
Days since push
- agentops
- 49d
- aim
- 0d
Open issues (now)
- agentops
- 176
- aim
- 465
Full report
- agentops
- Trust report
- aim
- Trust report
Choose agentops if…
- License: agentops is MIT, aim 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 aim if…
- License: aim is Apache-2.0, agentops is MIT.
- Tags unique to aim: ai, data-science, experiment tracking, mlflow.
- Also covers Model Training.
- You are working on Python-based machine learning projects and need detailed experiment tracking to manage metadata effectively.
When NOT to use aim
- You prefer comprehensive pre-built integrations with cloud services for MLOps processes that are not natively extensive in Aim.
- Your project is primarily coded in languages other than Python; while language versatility might be desired, Aim specifically excels within the Python ecosystem.
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 (aimhubio/aim) · observed Jul 28, 2026
- GitHub forks (aimhubio/aim) · observed Jul 28, 2026
- Last push (aimhubio/aim) · observed Jul 27, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentops 5.8k · aim 6.2k (synced Aug 14, 2026).
Common questions
- What is the difference between agentops and aim?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. aim: An easy-to-use & supercharged open-source experiment tracker. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentops over aim?
- Choose agentops over aim when License: agentops is MIT, aim 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 aim over agentops?
- Choose aim over agentops when License: aim is Apache-2.0, agentops is MIT; Tags unique to aim: ai, data-science, experiment tracking, mlflow; Also covers Model Training; You are working on Python-based machine learning projects and need detailed experiment tracking to manage metadata effectively.
- 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 aim?
- You prefer comprehensive pre-built integrations with cloud services for MLOps processes that are not natively extensive in Aim. Your project is primarily coded in languages other than Python; while language versatility might be desired, Aim specifically excels within the Python ecosystem.
- Is agentops or aim more popular on GitHub?
- aim has more GitHub stars (6,210 vs 5,771). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and aim open source?
- Yes - both are open-source projects on GitHub (agentops: MIT, aim: Apache-2.0).
- Where can I find alternatives to agentops or aim?
- GraphCanon lists graph-backed alternatives at agentops alternatives and aim alternatives (agentops markdown twin, aim 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 aim?
- agentops: Steady. aim: 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 aim?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; aim trust report.