Comparison
awesome-mcp-servers vs DataSphereStudio
Verdict
Pick awesome-mcp-servers when license: awesome-mcp-servers is MIT, DataSphereStudio is Apache-2.0; pick DataSphereStudio when license: DataSphereStudio is Apache-2.0, awesome-mcp-servers is MIT.
Markdown twin · awesome-mcp-servers alternatives · DataSphereStudio alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | awesome-mcp-servers | DataSphereStudio |
|---|---|---|
| Maintenance | Very active (6d since push) As of 4d · github_public_v1 | Slowing (253d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · osv@v1 | No published findings from this source as of 2026-07-15 As of today · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- awesome-mcp-servers
- A collection of MCP servers
- DataSphereStudio
- DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualizati
Stars
- awesome-mcp-servers
- 91k
- DataSphereStudio
- 3.3k
Forks
- awesome-mcp-servers
- 13k
- DataSphereStudio
- 1.0k
Open issues
- awesome-mcp-servers
- 2.6k
- DataSphereStudio
- 360
Language
- awesome-mcp-servers
- -
- DataSphereStudio
- Java
Adopt for
- awesome-mcp-servers
- awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration.
- DataSphereStudio
- -
Persona
- awesome-mcp-servers
- -
- DataSphereStudio
- -
Runtime
- awesome-mcp-servers
- -
- DataSphereStudio
- -
License
- awesome-mcp-servers
- MIT
- DataSphereStudio
- Apache-2.0
Last pushed
- awesome-mcp-servers
- Jul 4, 2026
- DataSphereStudio
- Nov 4, 2025
Categories
- awesome-mcp-servers
- Developer Tools
- DataSphereStudio
- Developer Tools
Trust and health
Maintenance
- awesome-mcp-servers
- Very active (96%)
- DataSphereStudio
- Slowing (36%)
Days since push
- awesome-mcp-servers
- 6d
- DataSphereStudio
- 253d
Open issues (now)
- awesome-mcp-servers
- 2.6k
- DataSphereStudio
- 360
Owner type
- awesome-mcp-servers
- User
- DataSphereStudio
- Organization
OSV dependency advisories
- awesome-mcp-servers
- No lockfile (source not queried)
- DataSphereStudio
- No published findings from this source as of 2026-07-15
Full report
- awesome-mcp-servers
- Trust report
- DataSphereStudio
- Trust report
Choose awesome-mcp-servers if…
- License: awesome-mcp-servers is MIT, DataSphereStudio is Apache-2.0.
- Tags unique to awesome-mcp-servers: ai, mcp, server-resources.
- If your project requires detailed resources and tools around MCP server capabilities for AI projects, awesome-mcp-servers is well-suited as it focuses solely on this niche area of technology.
When NOT to use awesome-mcp-servers
- Avoid using awesome-mcp-servers if your project does not involve utilizing or exploring the specific functionalities of MCP servers in relation to AI applications.
Choose DataSphereStudio if…
- License: DataSphereStudio is Apache-2.0, awesome-mcp-servers is MIT.
- Tags unique to DataSphereStudio: airflow, atlas, azkaban, dataworks.
- Leaner open-issue backlog (360).
When NOT to use DataSphereStudio
- Last GitHub push was 253 days ago (slowing maintenance, Nov 4, 2025). Validate activity before betting a new project on DataSphereStudio.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (punkpeye/awesome-mcp-servers) · observed Jul 11, 2026
- GitHub forks (punkpeye/awesome-mcp-servers) · observed Jul 11, 2026
- Last push (punkpeye/awesome-mcp-servers) · observed Jul 4, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (WeBankFinTech/DataSphereStudio) · observed Jul 15, 2026
- GitHub forks (WeBankFinTech/DataSphereStudio) · observed Jul 15, 2026
- Last push (WeBankFinTech/DataSphereStudio) · observed Nov 4, 2025
- License file (Apache-2.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: awesome-mcp-servers 91k · DataSphereStudio 3.3k (synced Jul 11, 2026).
Common questions
- What is the difference between awesome-mcp-servers and DataSphereStudio?
- awesome-mcp-servers: A collection of MCP servers. DataSphereStudio: DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualizati. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-mcp-servers over DataSphereStudio?
- Choose awesome-mcp-servers over DataSphereStudio when License: awesome-mcp-servers is MIT, DataSphereStudio is Apache-2.0; Tags unique to awesome-mcp-servers: ai, mcp, server-resources; If your project requires detailed resources and tools around MCP server capabilities for AI projects, awesome-mcp-servers is well-suited as it focuses solely on this niche area of technology.
- When should I choose DataSphereStudio over awesome-mcp-servers?
- Choose DataSphereStudio over awesome-mcp-servers when License: DataSphereStudio is Apache-2.0, awesome-mcp-servers is MIT; Tags unique to DataSphereStudio: airflow, atlas, azkaban, dataworks; Leaner open-issue backlog (360).
- When should I avoid awesome-mcp-servers?
- Avoid using awesome-mcp-servers if your project does not involve utilizing or exploring the specific functionalities of MCP servers in relation to AI applications.
- When should I avoid DataSphereStudio?
- Last GitHub push was 253 days ago (slowing maintenance, Nov 4, 2025). Validate activity before betting a new project on DataSphereStudio. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is awesome-mcp-servers or DataSphereStudio more popular on GitHub?
- awesome-mcp-servers has more GitHub stars (90,602 vs 3,266). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-mcp-servers and DataSphereStudio open source?
- Yes - both are open-source projects on GitHub (awesome-mcp-servers: MIT, DataSphereStudio: Apache-2.0).
- Where can I find alternatives to awesome-mcp-servers or DataSphereStudio?
- GraphCanon lists graph-backed alternatives at awesome-mcp-servers alternatives and DataSphereStudio alternatives (awesome-mcp-servers 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-mcp-servers or DataSphereStudio?
- awesome-mcp-servers: 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-mcp-servers and DataSphereStudio?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-mcp-servers trust report; DataSphereStudio trust report.