Comparison
nni vs awesome-mcp-servers
Verdict
Pick nni when tags unique to nni: automl, data-science, deep-learning, distributed; pick awesome-mcp-servers when tags unique to awesome-mcp-servers: ai, mcp.
Markdown twin · nni alternatives · awesome-mcp-servers alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | nni | awesome-mcp-servers |
|---|---|---|
| Maintenance | Archived (738d since push) As of today · github_public_v1 | Very active (6d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No MCP manifest As of today · mcp_manifest |
Tagline
- nni
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
- awesome-mcp-servers
- A collection of MCP servers.
Stars
- nni
- 14k
- awesome-mcp-servers
- 91k
Forks
- nni
- 1.9k
- awesome-mcp-servers
- 13k
Open issues
- nni
- 415
- awesome-mcp-servers
- 2.6k
Language
- nni
- Python
- awesome-mcp-servers
- -
Adopt for
- nni
- -
- awesome-mcp-servers
- -
Persona
- nni
- -
- awesome-mcp-servers
- -
Runtime
- nni
- -
- awesome-mcp-servers
- -
License
- nni
- MIT
- awesome-mcp-servers
- MIT
Last pushed
- nni
- Jul 3, 2024
- awesome-mcp-servers
- Jul 4, 2026
Categories
- nni
- Model Training, Developer Tools
- awesome-mcp-servers
- Developer Tools
Trust and health
Maintenance
- nni
- Archived (8%)
- awesome-mcp-servers
- Very active (96%)
Days since push
- nni
- 738d
- awesome-mcp-servers
- 6d
Archived on GitHub
- nni
- Yes
- awesome-mcp-servers
- No
Open issues (now)
- nni
- 415
- awesome-mcp-servers
- 2.6k
Owner type
- nni
- Organization
- awesome-mcp-servers
- User
Security scan
- nni
- No lockfile
- awesome-mcp-servers
- No MCP manifest
Full report
- nni
- Trust report
- awesome-mcp-servers
- Trust report
Choose nni if…
- Tags unique to nni: automl, data-science, deep-learning, distributed.
- Also covers Model Training.
- nni ships Docker support for self-hosted deployment.
When NOT to use nni
- nni is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- 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 (microsoft/nni) · observed Jul 11, 2026
- GitHub forks (microsoft/nni) · observed Jul 11, 2026
- Last push (microsoft/nni) · observed Jul 3, 2024
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: nni 14k · awesome-mcp-servers 91k (synced Jul 11, 2026).
Common questions
- What is the difference between nni and awesome-mcp-servers?
- nni: An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.. awesome-mcp-servers: A collection of MCP servers.. See the comparison table for live GitHub stats and shared categories.
- When should I choose nni over awesome-mcp-servers?
- Choose nni over awesome-mcp-servers when Tags unique to nni: automl, data-science, deep-learning, distributed; Also covers Model Training; nni ships Docker support for self-hosted deployment.
- When should I choose awesome-mcp-servers over nni?
- Choose awesome-mcp-servers over nni when Tags unique to awesome-mcp-servers: ai, mcp; More GitHub stars (91k vs 14k) - visibility, not fit.
- When should I avoid nni?
- nni is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- When should I avoid awesome-mcp-servers?
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is nni or awesome-mcp-servers more popular on GitHub?
- awesome-mcp-servers has more GitHub stars (90,602 vs 14,359). Stars measure visibility, not whether either tool fits your constraints.
- Are nni and awesome-mcp-servers open source?
- Yes - both are open-source projects on GitHub (nni: MIT, awesome-mcp-servers: MIT).
- Where can I find alternatives to nni or awesome-mcp-servers?
- GraphCanon lists graph-backed alternatives at nni alternatives and awesome-mcp-servers alternatives (nni markdown twin, awesome-mcp-servers 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, nni or awesome-mcp-servers?
- nni: Archived. awesome-mcp-servers: Very active. 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 nni and awesome-mcp-servers?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: nni trust report; awesome-mcp-servers trust report.