Библиотека дата-сайентиста | Data Science, Machine learning, анализ данных, машинное обучение

📈 Analytical overview of Telegram channel Библиотека дата-сайентиста | Data Science, Machine learning, анализ данных, машинное обучение

Channel Библиотека дата-сайентиста | Data Science, Machine learning, анализ данных, машинное обучение (@dsproglib) in the Russian language segment is an active participant. Currently, the community unites 18 421 subscribers, ranking 7 078 in the Technologies & Applications category and 36 250 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 18 421 subscribers.

According to the latest data from 22 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -48 over the last 30 days and by 1 over the last 24 hours, overall reach remains high.

• Verification status: Not verified
• Engagement rate (ER): The average audience engagement rate is 7.05%. Within the first 24 hours after publication, content typically collects 3.85% reactions from the total number of subscribers.
• Post reach: On average, each post receives 1 298 views. Within the first day, a publication typically gains 709 views.
• Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
• Thematic interests: Content is focused on key topics such as сайентиста, llm, буст, навигация, openai.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Все самое полезное для дата сайентиста в одном канале. Учиться у нас: clc.to/6qVHgg По рекламе: @proglib_adv Для обратной связи: @proglibrary_feeedback_bot РКН: https://gosuslugi.ru/snet/67a5b03124c8ba6dcaa121c9”

Thanks to the high frequency of updates (latest data received on 23 July, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.