Comparison
node2vec vs awesome-2vec
Verdict
Pick node2vec if node2vec is a Python implementation of an algorithmic framework that creates continuous feature representations for nodes in networks, useful for tasks such as link prediction and community detection; pick awesome-2vec if curated list of various 2Vec embedding models, essential for specific AI applications needing diverse model approaches.
Markdown twin · node2vec alternatives · awesome-2vec alternatives
GraphCanon updated 4w
vs
Trust & integrity
| Signal | node2vec | awesome-2vec |
|---|---|---|
| Maintenance | Slowing (289d since push) As of 4w · github_public_v1 | Dormant (1322d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4w · github_public_v1 | Not a fork · Personal account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- node2vec
- Implementation of the node2vec algorithm.
- awesome-2vec
- Curated list of 2vec-type embedding models
Stars
- node2vec
- 1.3k
- awesome-2vec
- 934
Forks
- node2vec
- 254
- awesome-2vec
- 179
Open issues
- node2vec
- 0
- awesome-2vec
- 0
Language
- node2vec
- Python
- awesome-2vec
- -
Adopt for
- node2vec
- node2vec is a Python implementation of an algorithmic framework that creates continuous feature representations for nodes in networks, useful for tasks such as link prediction and community detection.
- awesome-2vec
- Curated list of various 2Vec embedding models, essential for specific AI applications needing diverse model approaches.
Persona
- node2vec
- -
- awesome-2vec
- -
Runtime
- node2vec
- -
- awesome-2vec
- -
License
- node2vec
- MIT
- awesome-2vec
- -
Last pushed
- node2vec
- Oct 6, 2025
- awesome-2vec
- Dec 8, 2022
Categories
- node2vec
- Model Training
- awesome-2vec
- Vector Databases
Trust and health
Maintenance
- node2vec
- Slowing (36%)
- awesome-2vec
- Dormant (18%)
Days since push
- node2vec
- 289d
- awesome-2vec
- 1322d
Full report
- node2vec
- Trust report
- awesome-2vec
- Trust report
Shared compatibility
- Python · node2vec: Python runtime · awesome-2vec: Python runtime
Choose node2vec if…
- Tags unique to node2vec: deep-learning, machine-learning-algorithms.
- Also covers Model Training.
- - When you are dealing with network data and require embeddings that capture the structural role of nodes rather than their content.
When NOT to use node2vec
- - Not suitable for datasets where understanding specific node attributes is more critical than network structure itself.
- - Avoid if you only need embeddings based on shallow or flat graphs as node2vec can be computationally expensive with deeper graph explorations needed for its effectiveness.
Choose awesome-2vec if…
- Tags unique to awesome-2vec: list, model.
- Also covers Vector Databases.
- Need a variety of pre-implemented 2Vec embedding models
When NOT to use awesome-2vec
- Seeking specialized, deep integration with a single embedding model type
- Project requires real-time tuning or development of unique 2Vec models
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (eliorc/node2vec) · observed Jul 23, 2026
- GitHub forks (eliorc/node2vec) · observed Jul 23, 2026
- Last push (eliorc/node2vec) · observed Oct 6, 2025
- License file (MIT) · observed Jul 23, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (MaxwellRebo/awesome-2vec) · observed Jul 23, 2026
- GitHub forks (MaxwellRebo/awesome-2vec) · observed Jul 23, 2026
- Last push (MaxwellRebo/awesome-2vec) · observed Dec 8, 2022
- License file (unknown) · observed Jul 23, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: node2vec 1.3k · awesome-2vec 934 (synced Jul 23, 2026).
Common questions
- What is the difference between node2vec and awesome-2vec?
- node2vec: Implementation of the node2vec algorithm.. awesome-2vec: Curated list of 2vec-type embedding models. See the comparison table for live GitHub stats and shared categories.
- When should I choose node2vec over awesome-2vec?
- Choose node2vec over awesome-2vec when Tags unique to node2vec: deep-learning, machine-learning-algorithms; Also covers Model Training; - When you are dealing with network data and require embeddings that capture the structural role of nodes rather than their content.
- When should I choose awesome-2vec over node2vec?
- Choose awesome-2vec over node2vec when Tags unique to awesome-2vec: list, model; Also covers Vector Databases; Need a variety of pre-implemented 2Vec embedding models.
- When should I avoid node2vec?
- - Not suitable for datasets where understanding specific node attributes is more critical than network structure itself. - Avoid if you only need embeddings based on shallow or flat graphs as node2vec can be computationally expensive with deeper graph explorations needed for its effectiveness.
- When should I avoid awesome-2vec?
- Seeking specialized, deep integration with a single embedding model type Project requires real-time tuning or development of unique 2Vec models
- Is node2vec or awesome-2vec more popular on GitHub?
- node2vec has more GitHub stars (1,301 vs 934). Stars measure visibility, not whether either tool fits your constraints.
- Are node2vec and awesome-2vec open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to node2vec or awesome-2vec?
- GraphCanon lists graph-backed alternatives at node2vec alternatives and awesome-2vec alternatives (node2vec markdown twin, awesome-2vec 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, node2vec or awesome-2vec?
- node2vec: Slowing. awesome-2vec: Dormant. 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 node2vec and awesome-2vec?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: node2vec trust report; awesome-2vec trust report.