--- title: "beava vs whylogs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/beava-dev-beava-vs-whylabs-whylogs" tools: ["beava-dev-beava", "whylabs-whylogs"] --- # beava vs whylogs *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 whylogs if whylogs is an open-source data logging library that focuses on providing visibility into data quality and model performance over time, with a strong emphasis on privacy-preserving data collection. [beava](https://beava.dev) reports 138 GitHub stars, 10 forks, and 38 open issues, last pushed May 30, 2026. [whylogs](https://whylogs.readthedocs.io/) has 2.8k stars, 145 forks, and 3 open issues, last pushed Jan 10, 2025. Figures are from public GitHub metadata via [beava's repository](https://github.com/beava-dev/beava) and [whylogs's repository](https://github.com/whylabs/whylogs). | | [beava](/tools/beava-dev-beava.md) | [whylogs](/tools/whylabs-whylogs.md) | | --- | --- | --- | | Tagline | Real-time decision features without streaming infra | An open-source data logging library for machine learning models and data pipelines | | Stars | 138 | 2,833 | | Forks | 10 | 145 | | Open issues | 38 | 3 | | Language | Rust | Jupyter Notebook | | 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. | whylogs is an open-source data logging library that focuses on providing visibility into data quality and model performance over time, with a strong emphasis on privacy-preserving data collection. | | Persona | - | - | | Runtime | - | - | | License | Beava uses the Apache-2.0 license. | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [beava](/tools/beava-dev-beava.md) | [whylogs](/tools/whylabs-whylogs.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 107d | 615d | | Open issues (now) | 38 | 3 | | Stars delta | -1 (30d) | +3 (30d) | | Open issues delta | 0 (30d) | -1 (30d) | | Full report | [trust report](/tools/beava-dev-beava/trust.md) | [trust report](/tools/whylabs-whylogs/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: whylogs - **Adopt for:** whylogs is an open-source data logging library that focuses on providing visibility into data quality and model performance over time, with a strong emphasis on privacy-preserving data collection. ## Choose when ### Choose beava if… - beava is primarily Rust; whylogs is Jupyter Notebook. - 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: ai-agents, feature-store, fraud-detection, llm-guardrails. - Also covers AI Agents. - 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 whylogs if… - whylogs is primarily Jupyter Notebook; beava is Rust. - Tags unique to whylogs: ai-pipelines, approximate-statistics, constraints, data-pipeline. - When you need to track changes in datasets and generate summaries for data constraints and key statistics. ## 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 whylogs - If your project does not require detailed data quality and model performance tracking over time. - When privacy-preserving data collection is not a concern or requirement. - If your team prefers a more proprietary solution with additional features not available in open-source tools. - For projects that do not involve machine learning models or data pipelines. ## Common questions ### What is the difference between beava and whylogs? beava: Real-time decision features without streaming infra. whylogs: An open-source data logging library for machine learning models and data pipelines. See the comparison table for live GitHub stats and shared categories. ### When should I choose beava over whylogs? Choose beava over whylogs when beava is primarily Rust; whylogs is Jupyter Notebook; 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: ai-agents, feature-store, fraud-detection, llm-guardrails; Also covers AI Agents; 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 whylogs over beava? Choose whylogs over beava when whylogs is primarily Jupyter Notebook; beava is Rust; Tags unique to whylogs: ai-pipelines, approximate-statistics, constraints, data-pipeline; When you need to track changes in datasets and generate summaries for data constraints and key statistics. ### 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 whylogs? If your project does not require detailed data quality and model performance tracking over time. When privacy-preserving data collection is not a concern or requirement. If your team prefers a more proprietary solution with additional features not available in open-source tools. For projects that do not involve machine learning models or data pipelines. ### Is beava or whylogs more popular on GitHub? whylogs has more GitHub stars (2,833 vs 138). Stars measure visibility, not whether either tool fits your constraints. ### Are beava and whylogs open source? Yes - both are open-source projects on GitHub (beava: Apache-2.0, whylogs: Apache-2.0). ### Where can I find alternatives to beava or whylogs? GraphCanon lists graph-backed alternatives at [beava alternatives](/tools/beava-dev-beava/alternatives) and [whylogs alternatives](/tools/whylabs-whylogs/alternatives) ([beava markdown twin](/tools/beava-dev-beava/alternatives.md), [whylogs markdown twin](/tools/whylabs-whylogs/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-whylabs-whylogs.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, beava or whylogs? beava: Slowing. whylogs: Dormant. 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 whylogs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [beava trust report](/tools/beava-dev-beava/trust); [whylogs trust report](/tools/whylabs-whylogs/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/_