--- title: "beava vs eval-view" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/beava-dev-beava-vs-hidai25-eval-view" tools: ["beava-dev-beava", "hidai25-eval-view"] --- # beava vs eval-view *GraphCanon updated Sep 20, 2026* ## Verdict Pick beava if beava offers real-time decision features that operate without requiring traditional streaming infrastructure like Kafka or Flink, differentiating it from competitors in the market; 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. [beava](https://beava.dev) reports 138 GitHub stars, 10 forks, and 38 open issues, last pushed May 30, 2026. [eval-view](https://evalview.com) has 134 stars, 24 forks, and 2 open issues, last pushed Sep 5, 2026. Figures are from public GitHub metadata via [beava's repository](https://github.com/beava-dev/beava) and [eval-view's repository](https://github.com/hidai25/eval-view). | | [beava](/tools/beava-dev-beava.md) | [eval-view](/tools/hidai25-eval-view.md) | | --- | --- | --- | | Tagline | Real-time decision features without streaming infra | Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI | | Stars | 138 | 134 | | Forks | 10 | 24 | | Open issues | 38 | 2 | | Language | Rust | Python | | Adopt for | Beava offers real-time decision features that operate without requiring traditional streaming infrastructure like Kafka or Flink, differentiating it from competitors in the market. | 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 | | Persona | - | - | | Runtime | - | - | | License | Beava uses the Apache-2.0 license. | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [beava](/tools/beava-dev-beava.md) | [eval-view](/tools/hidai25-eval-view.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 107d | 13d | | Open issues (now) | 38 | 2 | | Stars delta | -1 (30d) | +8 (30d) | | Open issues delta | 0 (30d) | -1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/beava-dev-beava/trust.md) | [trust report](/tools/hidai25-eval-view/trust.md) | ## Decision facts: beava - **Pricing:** freemium - Free to start with, may include premium features or paid plans that are not detailed in the repository data provided. - **Requirements:** Requires Docker - **Adopt for:** Beava offers real-time decision features that operate without requiring traditional streaming infrastructure like Kafka or Flink, differentiating it from competitors in the market. - **License detail:** Beava uses the Apache-2.0 license. ## Decision facts: eval-view - **Adopt for:** 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 ## Choose when ### Choose beava if… - beava is primarily Rust; eval-view is Python. - Pricing: Free to start with, may include premium features or paid plans that are not detailed in the repository data provided.. - Requirements: Requires Docker. - Tags unique to beava: analytics, feature-store, fraud-detection, llm-guardrails. - Use Beava when you need to integrate live event processing into your product reflexes without setting up complex streaming infrastructures such as Kafka or feature stores. ### Choose eval-view if… - eval-view is primarily Python; beava is Rust. - Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, anthropic. - 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 beava - Avoid using Beava if your project relies heavily on existing Kafka or Flink environments, as the tool does not integrate well with these technologies. - Do not use Beava in scenarios where a feature store is critical for managing and serving feature data efficiently across different models. ## 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. ## Common questions ### What is the difference between beava and eval-view? beava: Real-time decision features without streaming infra. eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. See the comparison table for live GitHub stats and shared categories. ### When should I choose beava over eval-view? Choose beava over eval-view when beava is primarily Rust; eval-view is Python; Pricing: Free to start with, may include premium features or paid plans that are not detailed in the repository data provided.; Requirements: Requires Docker; Tags unique to beava: analytics, feature-store, fraud-detection, llm-guardrails; Use Beava when you need to integrate live event processing into your product reflexes without setting up complex streaming infrastructures such as Kafka or feature stores. ### When should I choose eval-view over beava? Choose eval-view over beava when eval-view is primarily Python; beava is Rust; Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, anthropic; When you need to snapshot and diff the behavior of AI agents across multiple platforms, including LangGraph, CrewAI, OpenAI, and Anthropic. ### When should I avoid beava? Avoid using Beava if your project relies heavily on existing Kafka or Flink environments, as the tool does not integrate well with these technologies. Do not use Beava in scenarios where a feature store is critical for managing and serving feature data efficiently across different models. ### 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. ### Is beava or eval-view more popular on GitHub? beava has more GitHub stars (138 vs 134). Stars measure visibility, not whether either tool fits your constraints. ### Are beava and eval-view open source? Yes - both are open-source projects on GitHub (beava: Apache-2.0, eval-view: Apache-2.0). ### Where can I find alternatives to beava or eval-view? GraphCanon lists graph-backed alternatives at [beava alternatives](/tools/beava-dev-beava/alternatives) and [eval-view alternatives](/tools/hidai25-eval-view/alternatives) ([beava markdown twin](/tools/beava-dev-beava/alternatives.md), [eval-view markdown twin](/tools/hidai25-eval-view/alternatives.md)), 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](/compare/beava-dev-beava-vs-hidai25-eval-view.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, beava or eval-view? beava: Slowing. eval-view: 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 beava and eval-view? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [beava trust report](/tools/beava-dev-beava/trust); [eval-view trust report](/tools/hidai25-eval-view/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=beava-dev-beava`](/api/graphcanon/graph?tool=beava-dev-beava) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_