# WeBankFinTech/DataSphereStudio

DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, and task scheduling.

Repository: https://github.com/WeBankFinTech/DataSphereStudio
Canonical: https://ross.abutalabs.com/products/dataspherestudio
Homepage: https://github.com/WeBankFinTech/DataSphereStudio-Doc
Language: Java
License: Apache-2.0
License Family: permissive
Topics: workflow, governance, azkaban, davinci, linkis, spark, hive, hadoop, visualis, zeppelin, hue, supperset, tableau, dataworks, griffin, kettle, airflow, flink, dolphinscheduler, atlas
Last push: 2025-11-04T09:08:42+00:00

## Health v2 (maintenance only)
Score: 50/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 50, release rhythm 20, longevity 100
- inputs: {"age_days": 2474, "days_push": 302, "days_rel": 323, "gap_med": 215, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3262, forks 1037 (observed 2026-08-28T04:07:52.766196+00:00)

## What it is
DataSphere Studio is a one-stop data application development and management portal from WeBank, built on the Linkis computing middleware. It provides a unified drag-and-drop workflow UI covering data exchange, cleansing, analysis, mining, quality inspection, visualization, and scheduling.

## Use cases
- develop data pipelines with drag-and-drop workflows
- integrate multiple data tools under one portal
- schedule and orchestrate Spark and Hive jobs
- run data quality checks and desensitization
- visualize data analysis results
- manage the full lifecycle of data applications

## When to choose
- you need a unified UI over heterogeneous big data tools like Spark, Hive, and Flink
- you want workflow-based graphical data development with scheduling
- you need pluggable integration of data exchange, quality, and visualization components

## When to avoid
- you only need a lightweight single-purpose scheduler like Airflow
- your stack is not JVM/Hadoop-based
- you want a fully managed cloud service rather than self-hosted deployment

## Facets
- artifact type: application
- maturity: active
- function: workflow-automation, etl, data-visualization, scheduling, web-framework
- domain: big-data, analytics, self-hosted, developer-tools
- platform: jvm, self-hosted
- tags: data-development-portal, linkis, workflow-orchestration, data-governance, one-stop-platform, drag-and-drop-workflow, data-engineering, web-server, docker

## Member repositories
- WeBankFinTech/DataSphereStudio (main) score 50

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:52.766196+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:23:12.205566+00:00, confidence not recorded.
  - readme: https://github.com/WeBankFinTech/DataSphereStudio (fetched 2026-08-28T04:07:52.766196+00:00, sha 51d5942fa0f9)
  - homepage: https://github.com/WeBankFinTech/DataSphereStudio-Doc (fetched 2026-08-29T09:36:37.681199+00:00, sha 381a979a6562)
- Data as of 2026-08-30T08:39:29.467469+00:00.