Views provided by UsageCounts
doit comes from the idea of bringing the power of build-tools to execute any kind of task doit can be uses as a simple Task Runner allowing you to easily define ad hoc tasks, helping you to organize all your project related tasks in an unified easy-to-use & discoverable way. doit scales-up with an efficient execution model like a build-tool doit creates a DAG (direct acyclic graph) and is able to cache task results. It ensures that only required tasks will be executed and in the correct order (aka incremental-builds). The up-to-date check to cache task results is not restricted to looking for file modification on dependencies. Nor it requires "target" files. So it is also suitable to handle workflows not handled by traditional build-tools. Tasks' dependencies and creation can be done dynamically during it is execution making it suitable to drive complex workflows and pipelines. doit is build with a plugin archtecture allowing extensible commands, custom output, storage backend and "task loader". It also provides an API allowing users to create new applications/tools leveraging doit functionality like a framework. doit is a mature project being actively developed for more than 10 years. It includes several extras like: parallel execution, auto execution (watch for file changes), shell tab-completion, DAG visualisation, IPython integration, and more.
python, workflow, data analysis, pipeline
python, workflow, data analysis, pipeline
| citations The total number of citations received by all articles of the researcher of interest. | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 46 |

Views provided by UsageCounts