Comparison
eval-view vs heron
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 heron if an open-source network traffic analysis tool for monitoring the performance of LLMs and AI agents without requiring SDK changes.
Markdown twin · eval-view alternatives · heron alternatives
GraphCanon updated Sep 20, 2026
Trust & integrity
| Signal | eval-view | heron |
|---|---|---|
| Maintenance | Active (13d since push) As of Sep 18, 2026 · github_public_v1 | Active (23d since push) As of Sep 11, 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 11, 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
- heron
- Performance monitoring tool for LLM APIs and AI agents
Stars
- eval-view
- 134
- heron
- 101
Forks
- eval-view
- 24
- heron
- 10
Open issues
- eval-view
- 2
- heron
- 3
Language
- eval-view
- Python
- heron
- Rust
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
- heron
- An open-source network traffic analysis tool for monitoring the performance of LLMs and AI agents without requiring SDK changes.
Persona
- eval-view
- -
- heron
- -
Runtime
- eval-view
- -
- heron
- -
License
- eval-view
- Apache-2.0
- heron
- Apache-2.0
Last pushed
- eval-view
- Sep 5, 2026
- heron
- Aug 18, 2026
Categories
- eval-view
- AI Agents, Evaluation & Observability
- heron
- Evaluation & Observability
Trust and health
Days since push
- eval-view
- 13d
- heron
- 23d
Open issues (now)
- eval-view
- 2
- heron
- 3
Stars delta
- eval-view
- +8 (30d)
- heron
- +27 (30d)
Open issues delta
- eval-view
- -1 (30d)
- heron
- 0 (30d)
Owner type
- eval-view
- User
- heron
- Organization
Full report
- eval-view
- Trust report
- heron
- Trust report
Choose eval-view if…
- eval-view is primarily Python; heron is Rust.
- Tags unique to eval-view: agent-benchmark, agent-evaluation, ai-agents, anthropic.
- Also covers AI Agents.
- 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 heron if…
- heron is primarily Rust; eval-view is Python.
- Tags unique to heron: ai-agent-development, libpcap, llm-monitoring, rust.
- When you need a provider-side solution that does not require altering existing codebases or SDKs to monitor performance metrics.
When NOT to use heron
- When the need is for an in-agent monitoring tool rather than a network packet-based solution, as Heron operates on traffic.
- In environments where live capture requires administrative privileges that are not available to the user performing the installation.
- For real-time performance insights without prior deployment because Heron involves a setup phase and typically uses pre-collected `.pcap` files.
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 (Netis/heron) · observed Sep 20, 2026
- GitHub forks (Netis/heron) · observed Sep 20, 2026
- Last push (Netis/heron) · observed Aug 18, 2026
- License file (Apache-2.0) · 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 · heron 101 (synced Sep 20, 2026).
Common questions
- What is the difference between eval-view and heron?
- eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. heron: Performance monitoring tool for LLM APIs and AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose eval-view over heron?
- Choose eval-view over heron when eval-view is primarily Python; heron is Rust; Tags unique to eval-view: agent-benchmark, agent-evaluation, ai-agents, anthropic; Also covers AI Agents; 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 heron over eval-view?
- Choose heron over eval-view when heron is primarily Rust; eval-view is Python; Tags unique to heron: ai-agent-development, libpcap, llm-monitoring, rust; When you need a provider-side solution that does not require altering existing codebases or SDKs to monitor performance metrics.
- 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 heron?
- When the need is for an in-agent monitoring tool rather than a network packet-based solution, as Heron operates on traffic. In environments where live capture requires administrative privileges that are not available to the user performing the installation. For real-time performance insights without prior deployment because Heron involves a setup phase and typically uses pre-collected
.pcapfiles. - Is eval-view or heron more popular on GitHub?
- eval-view has more GitHub stars (134 vs 101). Stars measure visibility, not whether either tool fits your constraints.
- Are eval-view and heron open source?
- Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, heron: Apache-2.0).
- Where can I find alternatives to eval-view or heron?
- GraphCanon lists graph-backed alternatives at eval-view alternatives and heron alternatives (eval-view markdown twin, heron 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 heron?
- eval-view: Active. heron: 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 heron?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: eval-view trust report; heron trust report.