Is Batching Kafka Consumer Safe?

Batching Kafka Consumer — Nerq Trust Score 56.8/100 (C grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-04-08.

Use Batching Kafka Consumer with some caution. Batching Kafka Consumer is a Python package with a Nerq Trust Score of 56.8/100 (C), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-08. Machine-readable data (JSON).

Batching Kafka Consumer Across Platforms

Same developer/company in other registries:

Safety Guide: Batching Kafka Consumer

What is Batching Kafka Consumer?

Batching Kafka Consumer is a Python package — Kafka Consumer abstraction that assists with processing batches and committing offsets..

How to Verify Safety

Run pip audit or safety check. Review on PyPI for download stats.

You can also check the trust score via API: GET /v1/preflight?target=batching-kafka-consumer

Key Safety Concerns for Python package

When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.

Trust Assessment

Batching Kafka Consumer has a Nerq Trust Score of 57/100 (C) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.

Key Takeaways

• Batching Kafka Consumer has a Trust Score of 57/100 (C).
• Review carefully before use — below trust threshold.
• Always verify independently using the Nerq API.

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.