Comparison
eval-view vs agent-framework
Verdict
Pick eval-view if eval-view is a Python-based tool for regression testing of AI agents, supporting multiple platforms like LangGraph, CrewAI, OpenAI, and Anthropic. It snapshots AI behavior and detects regressions through diffing tool and; pick agent-framework if the agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.
Markdown twin · eval-view alternatives · agent-framework alternatives
GraphCanon updated Sep 20, 2026
7views this month
vs
Trust & integrity
| Signal | eval-view | agent-framework |
|---|---|---|
| Maintenance | Active (13d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 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 Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 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
- eval-view
- Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI
- agent-framework
- Framework for building and deploying AI agents and multi-agent workflows
Stars
- eval-view
- 134
- agent-framework
- 14k
Forks
- eval-view
- 24
- agent-framework
- 2.3k
Open issues
- eval-view
- 2
- agent-framework
- 605
Language
- eval-view
- Python
- agent-framework
- Python
Adopt for
- eval-view
- Eval-view is a Python-based tool for regression testing of AI agents, supporting multiple platforms like LangGraph, CrewAI, OpenAI, and Anthropic. It snapshots AI behavior and detects regressions through diffing tool and
- agent-framework
- The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.
Persona
- eval-view
- -
- agent-framework
- -
Runtime
- eval-view
- -
- agent-framework
- -
License
- eval-view
- Apache-2.0
- agent-framework
- MIT
Last pushed
- eval-view
- Sep 5, 2026
- agent-framework
- Sep 18, 2026
Categories
- eval-view
- AI Agents, Evaluation & Observability
- agent-framework
- AI Agents, Developer Tools
Trust and health
Maintenance
- eval-view
- Active (82%)
- agent-framework
- Very active (96%)
Days since push
- eval-view
- 13d
- agent-framework
- 0d
Open issues (now)
- eval-view
- 2
- agent-framework
- 605
Stars delta
- eval-view
- +8 (30d)
- agent-framework
- +855 (30d)
Open issues delta
- eval-view
- -1 (30d)
- agent-framework
- -80 (30d)
Owner type
- eval-view
- User
- agent-framework
- Organization
Full report
- eval-view
- Trust report
- agent-framework
- Trust report
Shared compatibility
- Python · eval-view: Python runtime · agent-framework: Python runtime
Choose eval-view if…
- License: eval-view is Apache-2.0, agent-framework is MIT.
- Tags unique to eval-view: agent-benchmark, agent-evaluation, ai-agents, anthropic.
- Also covers Evaluation & Observability.
- eval-view ships Docker support for self-hosted deployment.
- When you need to snapshot and diff the behavior of AI agents across multiple platforms, including LangGraph, CrewAI, OpenAI, and Anthropic.
When NOT to use eval-view
- If you are working exclusively with AI platforms not supported by eval-view, such as those not listed among LangGraph, CrewAI, OpenAI, and Anthropic.
- When you do not require regression testing or behavior snapshotting for your AI agents, as eval-view is specifically designed for these purposes.
- If you are looking for a tool that does not involve backend API charges for executing your agent, as eval-view does not skip these charges even with the --no-judge flag.
- If you need a tool that automatically handles the migration from the OpenAI Assistants API to the Responses API without manual intervention, as eval-view requires following a migration guide for this.
Choose agent-framework if…
- License: agent-framework is MIT, eval-view is Apache-2.0.
- Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages..
- Tags unique to agent-framework: agent-framework, agents, multi-agent, orchestration.
- Also covers Developer Tools.
- Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.
When NOT to use agent-framework
- Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively.
- Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (hidai25/eval-view) · observed Sep 20, 2026
- GitHub forks (hidai25/eval-view) · observed Sep 20, 2026
- Last push (hidai25/eval-view) · observed Sep 5, 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 (microsoft/agent-framework) · observed Sep 20, 2026
- GitHub forks (microsoft/agent-framework) · observed Sep 20, 2026
- Last push (microsoft/agent-framework) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: eval-view 134 · agent-framework 14k (synced Sep 20, 2026).
Common questions
- What is the difference between eval-view and agent-framework?
- eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. agent-framework: Framework for building and deploying AI agents and multi-agent workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose eval-view over agent-framework?
- Choose eval-view over agent-framework when License: eval-view is Apache-2.0, agent-framework is MIT; Tags unique to eval-view: agent-benchmark, agent-evaluation, ai-agents, anthropic; Also covers Evaluation & Observability; eval-view ships Docker support for self-hosted deployment; When you need to snapshot and diff the behavior of AI agents across multiple platforms, including LangGraph, CrewAI, OpenAI, and Anthropic.
- When should I choose agent-framework over eval-view?
- Choose agent-framework over eval-view when License: agent-framework is MIT, eval-view is Apache-2.0; Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.; Tags unique to agent-framework: agent-framework, agents, multi-agent, orchestration; Also covers Developer Tools; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.
- When should I avoid eval-view?
- If you are working exclusively with AI platforms not supported by eval-view, such as those not listed among LangGraph, CrewAI, OpenAI, and Anthropic. When you do not require regression testing or behavior snapshotting for your AI agents, as eval-view is specifically designed for these purposes. If you are looking for a tool that does not involve backend API charges for executing your agent, as eval-view does not skip these charges even with the --no-judge flag. If you need a tool that automatically handles the migration from the OpenAI Assistants API to the Responses API without manual intervention, as eval-view requires following a migration guide for this.
- When should I avoid agent-framework?
- Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.
- Is eval-view or agent-framework more popular on GitHub?
- agent-framework has more GitHub stars (13,573 vs 134). Stars measure visibility, not whether either tool fits your constraints.
- Are eval-view and agent-framework open source?
- Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, agent-framework: MIT).
- Where can I find alternatives to eval-view or agent-framework?
- GraphCanon lists graph-backed alternatives at eval-view alternatives and agent-framework alternatives (eval-view markdown twin, agent-framework 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, eval-view or agent-framework?
- eval-view: Active. agent-framework: 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 eval-view and agent-framework?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: eval-view trust report; agent-framework trust report.