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Facts
| Fact | DevashishPrasad/CascadeTabNet This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents" | microsoft/table-transformer Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric. |
|---|---|---|
| Stars | 1,549 | 2,947 |
| Net stars, last 30 days | +1 | +2 |
| Largest star day | +2 on Sep 28, 2026 | +3 on May 26, 2026 |
| Milestone reached in the record | None | None |
| Forks | 421 | 324 |
| Language | Python | Python |
| License | MIT | MIT |
| Created | Apr 15, 2020 | May 17, 2021 |
| Last push | Aug 27, 2021 | Jun 24, 2024 |
| Archived | No | Yes |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 0 of 4 checks (2 without data) |
| Health facts: Releases | 0 of 3 checks (2 without data) | 1 of 3 checks (1 without data) |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check (1 without data) |
| Health facts: Community files | 1 of 3 checks (2 without data) | 1 of 3 checks (2 without data) |
| Commits, last 13 weeks | No data | No data |
| Weeks with commits, last 52 | No data | No data |
| In the Repository Index since | Nov 13, 2026 | Nov 11, 2026 |
Topics that all of them have on the Repository Host: table-structure-recognition, table-detection. 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