Comparison
agentops vs eval-view
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 eval-view if regression testing for AI agents to detect behavioral changes and output quality regressions over time.
Markdown twin · agentops alternatives · eval-view alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | agentops | eval-view |
|---|---|---|
| Maintenance | Steady (49d since push) As of 1w · github_public_v1 | Very active (6d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Personal account As of 3w · 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
- eval-view
- Regression testing for AI agents
Stars
- agentops
- 5.8k
- eval-view
- 126
Forks
- agentops
- 612
- eval-view
- 21
Open issues
- agentops
- 176
- eval-view
- 3
Language
- agentops
- Python
- eval-view
- Python
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- eval-view
- Regression testing for AI agents to detect behavioral changes and output quality regressions over time.
Persona
- agentops
- -
- eval-view
- -
Runtime
- agentops
- -
- eval-view
- -
License
- agentops
- MIT
- eval-view
- The software uses the Apache-2.0 license, offering permissive terms for use and distribution.
Last pushed
- agentops
- Jun 25, 2026
- eval-view
- Jul 26, 2026
Categories
- agentops
- AI Agents, Evaluation & Observability
- eval-view
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agentops
- Steady (60%)
- eval-view
- Very active (96%)
Days since push
- agentops
- 49d
- eval-view
- 6d
Open issues (now)
- agentops
- 176
- eval-view
- 3
Owner type
- agentops
- Organization
- eval-view
- User
Full report
- agentops
- Trust report
- eval-view
- Trust report
Shared compatibility
- Python · agentops: Python runtime · eval-view: Python runtime
Choose agentops if…
- License: agentops is MIT, eval-view is Apache-2.0.
- Tags unique to agentops: 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 eval-view if…
- License: eval-view is Apache-2.0, agentops is MIT.
- Pricing: Free to use under the terms of the Apache License, Version 2.0..
- Requirements: Python environment is required for installation and usage.; Installation with pip: `pip install evalview`; Offline support means no live API keys necessary for the basic diff functionality..
- Tags unique to eval-view: agent-benchmark, agent-evaluation, regression-testing.
- eval-view ships Docker support for self-hosted deployment.
- When you need to track and assess the behavior consistency of your AI agent across versions without involving live API calls.
When NOT to use eval-view
- If you do not need to monitor specific behavioral characteristics such as tool call sequences and parameter consistency over time.
- When real-time output quality evaluation is critical, as eval-view's offline diffing does not provide immediate feedback on output changes without an LLM judge.
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 (hidai25/eval-view) · observed Aug 2, 2026
- GitHub forks (hidai25/eval-view) · observed Aug 2, 2026
- Last push (hidai25/eval-view) · observed Jul 26, 2026
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentops 5.8k · eval-view 126 (synced Aug 14, 2026).
Common questions
- What is the difference between agentops and eval-view?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. eval-view: Regression testing for AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentops over eval-view?
- Choose agentops over eval-view when License: agentops is MIT, eval-view is Apache-2.0; Tags unique to agentops: benchmarking, cost-tracking; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK.
- When should I choose eval-view over agentops?
- Choose eval-view over agentops when License: eval-view is Apache-2.0, agentops is MIT; Pricing: Free to use under the terms of the Apache License, Version 2.0.; Requirements: Python environment is required for installation and usage.; Installation with pip:
pip install evalview; Offline support means no live API keys necessary for the basic diff functionality.; Tags unique to eval-view: agent-benchmark, agent-evaluation, regression-testing; eval-view ships Docker support for self-hosted deployment; When you need to track and assess the behavior consistency of your AI agent across versions without involving live API calls. - 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 eval-view?
- If you do not need to monitor specific behavioral characteristics such as tool call sequences and parameter consistency over time. When real-time output quality evaluation is critical, as eval-view's offline diffing does not provide immediate feedback on output changes without an LLM judge.
- Is agentops or eval-view more popular on GitHub?
- agentops has more GitHub stars (5,771 vs 126). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and eval-view open source?
- Yes - both are open-source projects on GitHub (agentops: MIT, eval-view: Apache-2.0).
- Where can I find alternatives to agentops or eval-view?
- GraphCanon lists graph-backed alternatives at agentops alternatives and eval-view alternatives (agentops markdown twin, eval-view 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 eval-view?
- agentops: Steady. eval-view: 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 eval-view?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; eval-view trust report.