rubenlagus/TelegramBots
rubenlagus/TelegramBots is tracked by TopGit as a backend project, with 5.5k stars on GitHub, written primarily in Java. Java library to create bots using Telegram Bots API
Snapshot summary built from the project's own GitHub metadata — there's no written TopGit review yet. The page will update automatically when a full review is published.
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Quick answers
How active is development on rubenlagus/TelegramBots?
The most recent commit recorded on rubenlagus/TelegramBots was 3 months ago, based on the GitHub push timestamp. The repository has 1.4k forks — one of the better signals of community interest.
How does rubenlagus/TelegramBots compare to other Backend projects?
rubenlagus/TelegramBots is tracked by TopGit in the Backend category, with 5.5k GitHub stars and written in Java. Browse the Backend topic page on TopGit to compare it against similar projects by stars and activity.
How many stars does rubenlagus/TelegramBots have?
rubenlagus/TelegramBots has 5.5k GitHub stars — refresh the page for the live number, or check github.com/rubenlagus/TelegramBots. TopGit mirrors GitHub's count but does not claim minute-by-minute accuracy.
What is rubenlagus/TelegramBots?
rubenlagus/TelegramBots (rubenlagus/TelegramBots) is a Java project on GitHub. From the project's own README: Java library to create bots using Telegram Bots API
What language is rubenlagus/TelegramBots written in?
rubenlagus/TelegramBots is written primarily in Java. GitHub's language field is based on the largest share of bytes in the default branch.
What topics is rubenlagus/TelegramBots associated with?
GitHub's repository topics for rubenlagus/TelegramBots: "java", "java-library", "jitpack", "maven", "polling", "spring-boot", "telegram", "telegram-bot", "telegram-bots-api", "webhook". TopGit's editorial category is Backend.
Why is rubenlagus/TelegramBots categorized under Backend?
TopGit places rubenlagus/TelegramBots in the Backend category based on its GitHub topics and description (tagged: "java", "java-library", "jitpack"). Categories are assigned from real repository metadata, not editorial guesswork.
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