danielfrg/word2vec
Python interface to Google word2vec observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4756
- days_rel: n/a
- days_push: 1245
- n_releases_24m: 0
Adoption not part of the score
2613 stars · 618 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Python wrapper around Google's original word2vec C code, providing training and similarity/analogy tools via Python APIs and command-line scripts. The project is explicitly unmaintained and broken with newer numpy versions.
Use cases
- train word2vec embeddings from a text corpus
- compute word similarity and distance between vectors
- run word analogy tasks
- generate phrase vectors with word2phrase
- evaluate embedding accuracy on standard benchmarks
When to choose
- you need the exact original Google word2vec C implementation
- you are on an older environment with legacy numpy versions
- you want simple CLI tools for embedding training and evaluation
When to avoid
- starting a new project - use gensim, TensorFlow, or PyTorch instead
- you need compatibility with modern numpy versions
- you need maintained code with active issue support
Facets
library · maturity abandoned
machine-learning nlp cli machine-learning python cli word2vec word-embeddings doc2vec google-word2vec not-maintained natural-language-processing linux macos
1 source
- readme: https://github.com/danielfrg/word2vec · fetched 2026-08-28 · 0abfb67f1011
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| danielfrg/word2vec | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="danielfrg/word2vec")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem