Comparison
eval-view vs ragtune
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 ragtune if ragtune is a command-line tool for evaluating and optimizing retrieval-augmented generation systems, supporting various vector databases and embedding models.
Markdown twin · eval-view alternatives · ragtune alternatives
GraphCanon updated Sep 20, 2026
6views this month
Trust & integrity
| Signal | eval-view | ragtune |
|---|---|---|
| Maintenance | Active (13d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (176d 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 · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | Published findings As of Sep 18, 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
- ragtune
- Tools for inspecting, debugging, benchmarking, and tuning RAG retrieval
Stars
- eval-view
- 134
- ragtune
- 13
Forks
- eval-view
- 24
- ragtune
- 1
Open issues
- eval-view
- 2
- ragtune
- 0
Language
- eval-view
- Python
- ragtune
- Go
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
- ragtune
- Ragtune is a command-line tool for evaluating and optimizing retrieval-augmented generation systems, supporting various vector databases and embedding models.
Persona
- eval-view
- -
- ragtune
- -
Runtime
- eval-view
- -
- ragtune
- -
License
- eval-view
- Apache-2.0
- ragtune
- MIT License
Last pushed
- eval-view
- Sep 5, 2026
- ragtune
- Mar 25, 2026
Categories
- eval-view
- AI Agents, Evaluation & Observability
- ragtune
- Developer Tools, Evaluation & Observability
Trust and health
Maintenance
- eval-view
- Active (82%)
- ragtune
- Slowing (36%)
Days since push
- eval-view
- 13d
- ragtune
- 176d
Open issues (now)
- eval-view
- 2
- ragtune
- 0
Stars delta
- eval-view
- +8 (30d)
- ragtune
- 0 (30d)
Open issues delta
- eval-view
- -1 (30d)
- ragtune
- 0 (30d)
OSV dependency advisories
- eval-view
- No lockfile (source not queried)
- ragtune
- Published findings
Full report
- eval-view
- Trust report
- ragtune
- Trust report
Choose eval-view if…
- eval-view is primarily Python; ragtune is Go.
- License: eval-view is Apache-2.0, ragtune is MIT.
- Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, ai-agents.
- 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 ragtune if…
- ragtune is primarily Go; eval-view is Python.
- License: ragtune is MIT, eval-view is Apache-2.0.
- Pricing: Free and open-source under the MIT License..
- Requirements: Min 2 GB RAM; Go installation is required to use Ragtune..
- Tags unique to ragtune: benchmarking, chroma, embeddings, metrics.
- Also covers Developer Tools.
- When you need to inspect, debug, benchmark, and tune the retrieval layer of your RAG systems specifically.
When NOT to use ragtune
- If your project does not involve retrieval-augmented generation systems or if you are not using supported vector databases.
- When you prefer a tool that is not written in Go or does not offer command-line interface capabilities.
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 (metawake/ragtune) · observed Sep 20, 2026
- GitHub forks (metawake/ragtune) · observed Sep 20, 2026
- Last push (metawake/ragtune) · observed Mar 25, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: eval-view 134 · ragtune 13 (synced Sep 20, 2026).
Common questions
- What is the difference between eval-view and ragtune?
- eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. ragtune: Tools for inspecting, debugging, benchmarking, and tuning RAG retrieval. See the comparison table for live GitHub stats and shared categories.
- When should I choose eval-view over ragtune?
- Choose eval-view over ragtune when eval-view is primarily Python; ragtune is Go; License: eval-view is Apache-2.0, ragtune is MIT; Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, ai-agents; 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 ragtune over eval-view?
- Choose ragtune over eval-view when ragtune is primarily Go; eval-view is Python; License: ragtune is MIT, eval-view is Apache-2.0; Pricing: Free and open-source under the MIT License.; Requirements: Min 2 GB RAM; Go installation is required to use Ragtune.; Tags unique to ragtune: benchmarking, chroma, embeddings, metrics; Also covers Developer Tools; When you need to inspect, debug, benchmark, and tune the retrieval layer of your RAG systems specifically.
- 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 ragtune?
- If your project does not involve retrieval-augmented generation systems or if you are not using supported vector databases. When you prefer a tool that is not written in Go or does not offer command-line interface capabilities.
- Is eval-view or ragtune more popular on GitHub?
- eval-view has more GitHub stars (134 vs 13). Stars measure visibility, not whether either tool fits your constraints.
- Are eval-view and ragtune open source?
- Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, ragtune: MIT).
- Where can I find alternatives to eval-view or ragtune?
- GraphCanon lists graph-backed alternatives at eval-view alternatives and ragtune alternatives (eval-view markdown twin, ragtune 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 ragtune?
- eval-view: Active. ragtune: 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 ragtune?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: eval-view trust report; ragtune trust report.