Comparison
eval-view vs invariant-gateway
Verdict
Pick eval-view if regression testing for AI agents to detect behavioral changes and output quality regressions over time; pick invariant-gateway if the invariant-gateway is an observability proxy crafted for Python-based AI agents running under LLMs, offering robust debugging and guardrail implementations.
Markdown twin · eval-view alternatives · invariant-gateway alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | eval-view | invariant-gateway |
|---|---|---|
| Maintenance | Very active (6d since push) As of 3w · github_public_v1 | Slowing (276d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization account As of 2w · 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
- eval-view
- Regression testing for AI agents
- invariant-gateway
- LLM proxy for observing and debugging AI agent activities
Stars
- eval-view
- 126
- invariant-gateway
- 78
Forks
- eval-view
- 21
- invariant-gateway
- 9
Open issues
- eval-view
- 3
- invariant-gateway
- 1
Language
- eval-view
- Python
- invariant-gateway
- Python
Adopt for
- eval-view
- Regression testing for AI agents to detect behavioral changes and output quality regressions over time.
- invariant-gateway
- The invariant-gateway is an observability proxy crafted for Python-based AI agents running under LLMs, offering robust debugging and guardrail implementations.
Persona
- eval-view
- -
- invariant-gateway
- -
Runtime
- eval-view
- -
- invariant-gateway
- -
License
- eval-view
- The software uses the Apache-2.0 license, offering permissive terms for use and distribution.
- invariant-gateway
- Apache-2.0
Last pushed
- eval-view
- Jul 26, 2026
- invariant-gateway
- Nov 6, 2025
Categories
- eval-view
- AI Agents, Evaluation & Observability
- invariant-gateway
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- eval-view
- Very active (96%)
- invariant-gateway
- Slowing (36%)
Days since push
- eval-view
- 6d
- invariant-gateway
- 276d
Open issues (now)
- eval-view
- 3
- invariant-gateway
- 1
Owner type
- eval-view
- User
- invariant-gateway
- Organization
Full report
- eval-view
- Trust report
- invariant-gateway
- Trust report
Choose eval-view if…
- 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.
Choose invariant-gateway if…
- Tags unique to invariant-gateway: debugging, guardrails, llm, observability.
- If you are working on Python-based projects and need detailed monitoring of AI agent activities to enhance security or compliance;
- Leaner open-issue backlog (1).
When NOT to use invariant-gateway
- In scenarios where the programming language used is not Python, given that invariant-gateway is specifically designed for Python-based applications;
- For organizations that do not require sophisticated guardrails or observability features when dealing with their AI agents' operations;
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 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 (invariantlabs-ai/invariant-gateway) · observed Aug 9, 2026
- GitHub forks (invariantlabs-ai/invariant-gateway) · observed Aug 9, 2026
- Last push (invariantlabs-ai/invariant-gateway) · observed Nov 6, 2025
- License file (Apache-2.0) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: eval-view 126 · invariant-gateway 78 (synced Aug 2, 2026).
Common questions
- What is the difference between eval-view and invariant-gateway?
- eval-view: Regression testing for AI agents. invariant-gateway: LLM proxy for observing and debugging AI agent activities. See the comparison table for live GitHub stats and shared categories.
- When should I choose eval-view over invariant-gateway?
- Choose eval-view over invariant-gateway when 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 choose invariant-gateway over eval-view?
- Choose invariant-gateway over eval-view when Tags unique to invariant-gateway: debugging, guardrails, llm, observability; If you are working on Python-based projects and need detailed monitoring of AI agent activities to enhance security or compliance;; Leaner open-issue backlog (1).
- 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.
- When should I avoid invariant-gateway?
- In scenarios where the programming language used is not Python, given that invariant-gateway is specifically designed for Python-based applications; For organizations that do not require sophisticated guardrails or observability features when dealing with their AI agents' operations;
- Is eval-view or invariant-gateway more popular on GitHub?
- eval-view has more GitHub stars (126 vs 78). Stars measure visibility, not whether either tool fits your constraints.
- Are eval-view and invariant-gateway open source?
- Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, invariant-gateway: Apache-2.0).
- Where can I find alternatives to eval-view or invariant-gateway?
- GraphCanon lists graph-backed alternatives at eval-view alternatives and invariant-gateway alternatives (eval-view markdown twin, invariant-gateway 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 invariant-gateway?
- eval-view: Very active. invariant-gateway: Slowing. 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 invariant-gateway?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: eval-view trust report; invariant-gateway trust report.