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Facts
| Fact | shawnwun/RNNLG RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0. | explosion/spaCy 💫 Industrial-strength Natural Language Processing (NLP) in Python |
|---|---|---|
| Stars | 491 | 34,022 |
| Net stars, last 30 days | 0 | +99 |
| Largest star day | +1 on Jun 1, 2026 | +10 on May 21, 2026 |
| Milestone reached in the record | None | None |
| Forks | 125 | 4,741 |
| Language | Python | Python |
| License | Other license | MIT |
| Created | Aug 19, 2016 | Jul 3, 2014 |
| Last push | Jul 2, 2019 | Oct 27, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 3 of 4 checks |
| Health facts: Releases | 0 of 3 checks (2 without data) | 1 of 3 checks |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check |
| Health facts: Community files | 1 of 3 checks (2 without data) | 2 of 3 checks |
| Commits, last 13 weeks | No data | 28 |
| Weeks with commits, last 52 | No data | 13 of 52 |
| In the Repository Index since | Oct 22, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: natural-language-processing, deep-learning, machine-learning. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined