Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
- clickhouse
- data-engineering
- data-generation
- devops
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Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
observation camera honeypot
A micro workers class that easily manages a pool of threads to optimise simultaneous jobs and jobs endings, for MicroPython (used on Pycom modules & ESP32)
Nova DSO Tracker is an open-source Flask application for astrophotographers, providing real-time tracking of deep-sky objects' altitude, observability prediction, and integration with Stellarium and SIMBAD databases.
Lightweight Docker monitoring dashboard with anomaly detection & Telegram alerts. One-liner install, zero config.
Declarative data quality engine. Define checks in YAML, run anywhere.
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
SCTE-35 for HLS, of course it's powered by threefive.
A repository for deploying an AWS EMR cluster and submiting spark jobs on it. Boostrapping by default does inclues pysparkling so one can easily use h2o with python and spark.
Neovim implementation of Urtext, a markup language for Python scriptable-notebooks in a text editor.
A Python GUI application for seamless integration between CasparCG media servers and OBS Studio. This client automates the complete workflow of transitioning OBS scenes, playing media through CasparCG, and transitioning back—all with precise timing control.
Observability stack for Stacks blockchain nodes and signers - dashboards, alerts, and log processing