p/particle-3
Job scheduling, simplified
Ken

Particle — Job scheduling, simplified

1
Particle is a delightfully simple to use workflow tool for data scientists and engineers.
Build, schedule, and maintain data workflows all from the Particle UI.
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Ken
Hunter
Hey PH: Particle was built to deal with the frustration of scheduling tasks and DAGs for data scientists and engineers. With current systems it takes so much effort to get your code into the production. With Particle, you spend less time managing your scheduling infrastructure and writing heavyweight scheduling code, and more time focusing on the things that matter. Features: DAG scheduler: Handle complex dependency graph of jobs Powerful UI: Triage your issues via the graph or tree view One click deployment: Deploy in any cloud or on premise environment. Particle is Kubernetes native. Your Ops team can focus on maintaining critical services. Backfill Support: Retry any task or backfill an entire range of tasks without stopping the current pipeline. Git sync: Sync with your version control tool (Git, Mercurial, etc) Author and deploy DAGs and tasks as easily as editing a web form Open source: Built on top of Open Source, so you can avoid vendor lock in