Comparison
eda_nlp vs awesome-mcp-servers
Verdict
Pick eda_nlp when tags unique to eda_nlp: position, embeddings, nlp, cnn; pick awesome-mcp-servers when tags unique to awesome-mcp-servers: ai, mcp.
Markdown twin · eda_nlp alternatives · awesome-mcp-servers alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | eda_nlp | awesome-mcp-servers |
|---|---|---|
| Maintenance | Dormant (1209d since push) As of today · github_public_v1 | Very active (6d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal 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
- eda_nlp
- Data augmentation for NLP
- awesome-mcp-servers
- A collection of MCP servers.
Stars
- eda_nlp
- 1.7k
- awesome-mcp-servers
- 91k
Forks
- eda_nlp
- 312
- awesome-mcp-servers
- 13k
Open issues
- eda_nlp
- 11
- awesome-mcp-servers
- 2.6k
Language
- eda_nlp
- Python
- awesome-mcp-servers
- -
Adopt for
- eda_nlp
- EDA_NLP is a Python tool tailored for data augmentation in NLP tasks by applying various techniques such as synonym replacement and word swapping.
- awesome-mcp-servers
- -
Persona
- eda_nlp
- -
- awesome-mcp-servers
- -
Runtime
- eda_nlp
- -
- awesome-mcp-servers
- -
License
- eda_nlp
- The license information is unknown. Please verify license compatibility before incorporating EDA_NLP into your projects.
- awesome-mcp-servers
- MIT
Last pushed
- eda_nlp
- Mar 19, 2023
- awesome-mcp-servers
- Jul 4, 2026
Categories
- eda_nlp
- Model Training, Developer Tools
- awesome-mcp-servers
- Developer Tools
Trust and health
Maintenance
- eda_nlp
- Dormant (18%)
- awesome-mcp-servers
- Very active (96%)
Days since push
- eda_nlp
- 1209d
- awesome-mcp-servers
- 6d
Open issues (now)
- eda_nlp
- 11
- awesome-mcp-servers
- 2.6k
Security scan
- eda_nlp
- No lockfile
- awesome-mcp-servers
- No MCP manifest
Full report
- eda_nlp
- Trust report
- awesome-mcp-servers
- Trust report
Choose eda_nlp if…
- Tags unique to eda_nlp: position, embeddings, nlp, cnn.
- Also covers Model Training.
- - When you are focusing on improving text classification models with limited training data.
When NOT to use eda_nlp
- - Avoid using it if the domain-specific nuances will be lost due to generic synonym replacement, which might not fit specialized vocabularies.
- - Not recommended for scenarios where preserving specific text structures (e.g., poetry) is crucial, as position swap and other augmentations could alter the required style or intent.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (jasonwei20/eda_nlp) · observed Jul 11, 2026
- GitHub forks (jasonwei20/eda_nlp) · observed Jul 11, 2026
- Last push (jasonwei20/eda_nlp) · observed Mar 19, 2023
- License file (unknown) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 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: eda_nlp 1.7k · awesome-mcp-servers 91k (synced Jul 11, 2026).
Common questions
- What is the difference between eda_nlp and awesome-mcp-servers?
- eda_nlp: Data augmentation for NLP. awesome-mcp-servers: A collection of MCP servers.. See the comparison table for live GitHub stats and shared categories.
- When should I choose eda_nlp over awesome-mcp-servers?
- Choose eda_nlp over awesome-mcp-servers when Tags unique to eda_nlp: position, embeddings, nlp, cnn; Also covers Model Training; - When you are focusing on improving text classification models with limited training data.
- When should I choose awesome-mcp-servers over eda_nlp?
- Choose awesome-mcp-servers over eda_nlp when Tags unique to awesome-mcp-servers: ai, mcp; More GitHub stars (91k vs 1.7k) - visibility, not fit.
- When should I avoid eda_nlp?
- - Avoid using it if the domain-specific nuances will be lost due to generic synonym replacement, which might not fit specialized vocabularies. - Not recommended for scenarios where preserving specific text structures (e.g., poetry) is crucial, as position swap and other augmentations could alter the required style or intent.
- When should I avoid awesome-mcp-servers?
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is eda_nlp or awesome-mcp-servers more popular on GitHub?
- awesome-mcp-servers has more GitHub stars (90,602 vs 1,651). Stars measure visibility, not whether either tool fits your constraints.
- Are eda_nlp and awesome-mcp-servers open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to eda_nlp or awesome-mcp-servers?
- GraphCanon lists graph-backed alternatives at eda_nlp alternatives and awesome-mcp-servers alternatives (eda_nlp 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, eda_nlp or awesome-mcp-servers?
- eda_nlp: Dormant. 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 eda_nlp and awesome-mcp-servers?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: eda_nlp trust report; awesome-mcp-servers trust report.