Apache Kafka
Distributed event streaming platform
The score summarizes repository activity. Funding is unknown and excluded from the score. These repository signals do not establish financial stability, security, or maintainer availability. How to interpret this data.
Evidence and limitations
Activity source: apache/kafka via the GitHub API. Counts describe this repository, which may be a mirror or only part of the project.
- Commits in 30 days
- 190
- Commits in 90 days
- 580
- Authors accounting for half the sampled commits
- 13
The 200-commit author sample does not cover the full 90 days. Author counts are lower bounds; concentration describes the sample only.
Few commits can reflect mature software. Commit authors do not establish merge rights, available maintainers, organizational diversity, or knowledge distribution. Funding is unknown; donation links alone do not establish income or runway.
Correct this assessment or provide evidence →Ways to help Apache Kafka
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Read the repository's contribution and security guidance before proposing work.
Overview
Apache Kafka is a distributed event streaming platform capable of handling trillions of events a day, initially developed at LinkedIn.
Importance
- Foundation for event-driven architectures
- Powers real-time data pipelines
- Critical for data streaming
- Used by thousands of companies
Key Features
- Distributed commit log
- High throughput
- Durable storage
- Stream processing
Sustainability
Financial sustainability and maintainer capacity have not yet been reviewed against current primary sources. See the evidence and support sections above for available information and a way to suggest corrections.
Dependencies
Dependency Chain
Impact Analysis
⚠️ Impact Risk: Changes to Apache Kafka could affect 1 downstream project.