Adding dash(visualisation) and cronicle(scheduler)

Adding two repos.
This commit is contained in:
Daniel Lassahn
2021-02-11 11:26:46 +01:00
committed by GitHub
parent 923405c4f2
commit 225be16ed8

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@@ -406,6 +406,7 @@ You can read more about this distinction on Prof. Daniel Abadi's blog: [Distingu
* [Apache Oozie](http://oozie.apache.org/) - workflow job scheduler.
* [Azure Data Factory](https://docs.microsoft.com/en-us/azure/data-factory/data-factory-introduction) - cloud-based pipeline orchestration for on-prem, cloud and HDInsight
* [Chronos](http://mesos.github.io/chronos/) - distributed and fault-tolerant scheduler.
* [Cronicle](https://github.com/jhuckaby/Cronicle) - Distributed, easy to install, NodeJS based, task scheduler
* [Dagster](https://github.com/dagster-io/dagster) - a data orchestrator for machine learning, analytics, and ETL.
* [Linkedin Azkaban](https://azkaban.github.io/) - batch workflow job scheduler.
* [Schedoscope](https://github.com/ottogroup/schedoscope) - Scala DSL for agile scheduling of Hadoop jobs.
@@ -634,6 +635,7 @@ You can read more about this distinction on Prof. Daniel Abadi's blog: [Distingu
* [D3](https://d3js.org/) - javaScript library for manipulating documents.
* [D3.compose](https://github.com/CSNW/d3.compose) - Compose complex, data-driven visualizations from reusable charts and components.
* [D3Plus](http://d3plus.org) - A fairly robust set of reusable charts and styles for d3.js.
* [Dash](https://github.com/plotly/dash) - Analytical Web Apps for Python, R, Julia, and Jupyter. Built on top of plotly, no JS required
* [DevExtreme React Chart](https://devexpress.github.io/devextreme-reactive/react/chart/) - High-performance plugin-based React chart for Bootstrap and Material Design.
* [Echarts](https://github.com/ecomfe/echarts) - Baidus enterprise charts.
* [Envisionjs](https://github.com/HumbleSoftware/envisionjs) - dynamic HTML5 visualization.