recap VS JDR

Compare recap vs JDR and see what are their differences.

recap

Work with your web service, database, and streaming schemas in a single format. (by recap-build)
data-catalog Metadata data-discovery recap data-engineering data-integration data-pipelines ETL
Source Code
recap.build
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JDR

Job Dependency Runner (by Chen-Alfred)
dependency-manager GUI Job Scheduler data-engineering data-integration Data Science ETL Metadata Python Scheduler Workflow workflow-automation
Source Code
hackmd.io
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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WorkOS - The modern identity platform for B2B SaaS
The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
workos.com
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recap JDR
2 2
307 3
2.3% -
8.7 2.4
about 1 month ago about 1 year ago
Python Python
MIT License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

recap

Posts with mentions or reviews of recap. We have used some of these posts to build our list of alternatives and similar projects.

JDR

Posts with mentions or reviews of JDR. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing recap and JDR you can also consider the following projects:

Dataplane - Dataplane is a data platform that makes it easy to construct a data mesh with automated data pipelines and workflows.

prism - Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.

covalent - Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

dagster - An orchestration platform for the development, production, and observation of data assets.

Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai

Prefect - The easiest way to build, run, and monitor data pipelines at scale.

doit - task management & automation tool

JDR vs Dataplane JDR vs prism JDR vs covalent JDR vs dagster JDR vs Mage JDR vs Prefect JDR vs doit