This analysis uses StarScout, an open-source tool from ICSE '26 research paper "Six Million (Suspected) Fake Stars on GitHub."
Two complementary heuristics identify suspected fake stars:
| Heuristic | What It Catches | Signal Strength |
|---|
This analysis uses StarScout, an open-source tool from ICSE '26 research paper "Six Million (Suspected) Fake Stars on GitHub."
Two complementary heuristics identify suspected fake stars:
| Heuristic | What It Catches | Signal Strength |
|---|
| repo_name | n_stars_clustered | |
|---|---|---|
| deepseek-ai/awesome-deepseek-integration | 135943 | |
| deepseek-ai/DeepSeek-R1 | 133250 | |
| deepseek-ai/FlashMLA | 124622 | |
| open-webui/open-webui | 124526 | |
| deepseek-ai/DeepSeek-V3 | 122837 | |
| huggingface/open-r1 | 121231 | |
| browser-use/browser-use | 119278 | |
| deepseek-ai/Janus | 117829 | |
| ollama/ollama | 117344 |
| repo_id | repo_name | n_stars | n_stars_latest | n_stars_low_activity | p_stars_low_activity | |
|---|---|---|---|---|---|---|
| aitsereal63vabum/sol-copy-trade-bot | 69 | 69 | 1.0 | |||
| AidaxoJun/DawnBot | 52 | 52 | 1.0 | |||
| Roblox-Hack-2025/Synapse-X-Roblox | 88 | 88 | 1.0 | |||
| KeiqiaubDa858/Flash-USDT-Sender | 77 | 77 | 1.0 | |||
| pushvampir/sol-volume-bot | 77 | 77 | 1.0 | |||
| worthwhilewea/kubestatus-operator | 102 | 102 | 1.0 | |||
| glas50tomcat/s0lara-ex3cut0r | 69 | 69 | 1.0 | |||
| suninadlibapiba/hwid-spoofer-guide | 58 | 58 | 1.0 | |||
| tmwarniatbio/hack-crypto-wallet | 56 | 56 | 1.0 |
| -- List the disk size of all tables and partitions in MySQL/InnoDB. | |
| SELECT | |
| isp.Schema, | |
| isp.Table, | |
| isp.Partition, | |
| ROUND(isit.size / 1e+6) AS 'MB', | |
| ROUND(isit.size / 1e+9) AS 'GB', | |
| ROUND(isit.size / 1.1e+12, 2) AS 'TiB', | |
| isit.File | |
| FROM ( |
Because finding anything in this page is harder than it should be
| Date | Article | Contents |
|---|---|---|
| 2015-02-02 | Unearthed Arcana: Eberron [PDF] | Changelings, shifters, warforged, Wizard (Artificer), rules for action points, dragonmarks |
| -- Show all tables and their corresponding innodb_table_per_file files (if present) | |
| SELECT * | |
| FROM ( | |
| SELECT | |
| TABLE_SCHEMA as 'Schema', | |
| TABLE_NAME as 'Table', | |
| ROUND((DATA_LENGTH + INDEX_LENGTH) / 1024) as 'Info MB', | |
| ROUND((DATA_LENGTH + INDEX_LENGTH) / 1024 / 1024, 6) as 'Info GB', | |
| (DATA_LENGTH + INDEX_LENGTH) / 1099511627776 as 'Info TiB' | |
| FROM INFORMATION_SCHEMA.TABLES |
| -- Give a quick MySQL/AuroraDB database a simple health check. | |
| -- See comments below to customize to your needs. | |
| -- (this is all one query) | |
| -- Step 1: Find very large tables | |
| SELECT 'Table is very large' AS `Issue`, | |
| NULL AS `User`, | |
| NULL AS `Host`, | |
| TABLE_SCHEMA AS 'DB', | |
| TABLE_NAME AS `Table`, |
| DELIMITER ;; | |
| DROP PROCEDURE IF EXISTS `assasinate`;; | |
| CREATE PROCEDURE `assasinate`(queryportion VARCHAR(255)) | |
| BEGIN | |
| DECLARE sql_string MEDIUMTEXT; | |
| DECLARE count MEDIUMINT; | |
| SET SESSION TRANSACTION ISOLATION LEVEL READ UNCOMMITTED; | |
| SET FOREIGN_KEY_CHECKS = 0; | |
| SET @count = 0; | |
| SET @sql_string := 'tmp'; |