quixio / quix-streams
Python Streaming DataFrames for Kafka
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Pure Python, meaning no wrappers around Java and no cross-language debugging.
- Streaming DataFrame API for building tabular data processing pipelines.
- Sources & Sinks API for building custom connectors that integrate data with Kafka.
- Serializers API supporting JSON, Avro, Protobuf & Schema Registry.
- Fault-tolerant stateful operations.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit yesterday
- Stars
- 1,582
- +2 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v3.28.1
- Released 28 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 13
- Last 90 days
- Issues
- 89% closed
- 16 still open
- Pull requests
- 884 merged
- 11 waiting
- Releases
- 78
- 12 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Python 100%
- Shell <1%
- Makefile <1%
Topics
- kafka
- python
- stream-processing
- data-engineering
- data-science
- machine-learning
- real-time-data-processing
- streaming-data
- streaming-data-pipelines
- streaming-data-processing
- time-series-data
- data-intensive-applications
Project record
- JobOther AI tools
- StatusListed
- Commits889
- Forks119
- Watching15
- Stars in 28 days+6
- CreatedNov 17, 2022
- First seen by usNov 7, 2026
- CheckedNov 12, 2026