Comparison
awesome vs DataSphereStudio
Verdict
Pick awesome if a curated collection of resources on a variety of technological topics, emphasizing hardware and robotics; pick DataSphereStudio if dataSphereStudio is an integrated platform for managing all stages of data application development and management using big data technologies like Airflow, Flink, Spark, and Hive.
Markdown twin · awesome alternatives · DataSphereStudio alternatives
GraphCanon updated Sep 20, 2026
8views this month
vs
Trust & integrity
| Signal | awesome | DataSphereStudio |
|---|---|---|
| Maintenance | Very active (2d since push) As of Sep 4, 2026 · github_public_v1 | Slowing (315d since push) As of Sep 16, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 4, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 16, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No published findings from this source as of 2026-07-15 As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | No lockfile (source not queried) As of Sep 6, 2026 · deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Published findings As of Aug 16, 2026 · openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- awesome
- 😎 Awesome lists about all kinds of interesting topics
- DataSphereStudio
- An integrated data development and management solution.
Stars
- awesome
- 503k
- DataSphereStudio
- 3.3k
Forks
- awesome
- 37k
- DataSphereStudio
- 1.0k
Open issues
- awesome
- 106
- DataSphereStudio
- 362
Language
- awesome
- -
- DataSphereStudio
- Java
Adopt for
- awesome
- A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics.
- DataSphereStudio
- DataSphereStudio is an integrated platform for managing all stages of data application development and management using big data technologies like Airflow, Flink, Spark, and Hive.
Persona
- awesome
- -
- DataSphereStudio
- -
Runtime
- awesome
- -
- DataSphereStudio
- -
License
- awesome
- CC0-1.0
- DataSphereStudio
- Apache-2.0
Last pushed
- awesome
- Sep 2, 2026
- DataSphereStudio
- Nov 4, 2025
Categories
- awesome
- Developer Tools
- DataSphereStudio
- Developer Tools, Evaluation & Observability, Model Training
Trust and health
Maintenance
- awesome
- Very active (96%)
- DataSphereStudio
- Slowing (36%)
Days since push
- awesome
- 2d
- DataSphereStudio
- 315d
Open issues (now)
- awesome
- 106
- DataSphereStudio
- 362
Stars delta
- awesome
- +11k (30d)
- DataSphereStudio
- +4 (30d)
Open issues delta
- awesome
- +6 (30d)
- DataSphereStudio
- +2 (30d)
Owner type
- awesome
- User
- DataSphereStudio
- Organization
OSV dependency advisories
- awesome
- No lockfile (source not queried)
- DataSphereStudio
- No published findings from this source as of 2026-07-15
deps.dev advisories
- awesome
- No lockfile (source not queried)
- DataSphereStudio
- Not queried
OpenSSF Scorecard
- awesome
- Published findings
- DataSphereStudio
- Not queried
Full report
- awesome
- Trust report
- DataSphereStudio
- Trust report
Choose awesome if…
- License: awesome is CC0-1.0, DataSphereStudio is Apache-2.0.
- Tags unique to awesome: awesome, awesome-list, lists, resources.
- When you need well-organized access to diverse technical subjects from IoT to robotics
When NOT to use awesome
- If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources
- In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion
Choose DataSphereStudio if…
- License: DataSphereStudio is Apache-2.0, awesome is CC0-1.0.
- Tags unique to DataSphereStudio: airflow, data-governance, flink, hive.
- Also covers Evaluation & Observability, Model Training.
- Use DataSphereStudio when you need to integrate multiple aspects of data workflow including exchange, cleaning, analysis, quality measurement, visualization, and task scheduling within one platform.
When NOT to use DataSphereStudio
- Do not use DataSphereStudio if your company's ecosystem primarily relies on tools that are not compatible with the technologies supported by DSS like Airflow, Flink, Spark, and Hive.
- Avoid selecting DataSphereStudio for projects where proprietary software is preferred over open-source options licensed under Apache-2.0.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (sindresorhus/awesome) · observed Sep 20, 2026
- GitHub forks (sindresorhus/awesome) · observed Sep 20, 2026
- Last push (sindresorhus/awesome) · observed Sep 2, 2026
- License file (CC0-1.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (WeBankFinTech/DataSphereStudio) · observed Sep 20, 2026
- GitHub forks (WeBankFinTech/DataSphereStudio) · observed Sep 20, 2026
- Last push (WeBankFinTech/DataSphereStudio) · observed Nov 4, 2025
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: awesome 503k · DataSphereStudio 3.3k (synced Sep 20, 2026).
Common questions
- What is the difference between awesome and DataSphereStudio?
- awesome: 😎 Awesome lists about all kinds of interesting topics. DataSphereStudio: An integrated data development and management solution.. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome over DataSphereStudio?
- Choose awesome over DataSphereStudio when License: awesome is CC0-1.0, DataSphereStudio is Apache-2.0; Tags unique to awesome: awesome, awesome-list, lists, resources; When you need well-organized access to diverse technical subjects from IoT to robotics.
- When should I choose DataSphereStudio over awesome?
- Choose DataSphereStudio over awesome when License: DataSphereStudio is Apache-2.0, awesome is CC0-1.0; Tags unique to DataSphereStudio: airflow, data-governance, flink, hive; Also covers Evaluation & Observability, Model Training; Use DataSphereStudio when you need to integrate multiple aspects of data workflow including exchange, cleaning, analysis, quality measurement, visualization, and task scheduling within one platform.
- When should I avoid awesome?
- If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion
- When should I avoid DataSphereStudio?
- Do not use DataSphereStudio if your company's ecosystem primarily relies on tools that are not compatible with the technologies supported by DSS like Airflow, Flink, Spark, and Hive. Avoid selecting DataSphereStudio for projects where proprietary software is preferred over open-source options licensed under Apache-2.0.
- Is awesome or DataSphereStudio more popular on GitHub?
- awesome has more GitHub stars (502,873 vs 3,267). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome and DataSphereStudio open source?
- Yes - both are open-source projects on GitHub (awesome: CC0-1.0, DataSphereStudio: Apache-2.0).
- Where can I find alternatives to awesome or DataSphereStudio?
- GraphCanon lists graph-backed alternatives at awesome alternatives and DataSphereStudio alternatives (awesome markdown twin, DataSphereStudio markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, awesome or DataSphereStudio?
- awesome: Very active. DataSphereStudio: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for awesome and DataSphereStudio?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome trust report; DataSphereStudio trust report.