GitHub Trends
前往频道在 Telegram
See what the GitHub community is most excited about today. A bot automatically fetches new repositories from https://github.com/trending and sends them to the channel. Author and maintainer: https://github.com/katursis
显示更多未指定国家技术与应用10 457
📈 Telegram 频道 GitHub Trends 的分析概览
频道 GitHub Trends (@githubtrending) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 11 921 名订阅者，在 技术与应用 类别中位列第 10 457。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 11 921 名订阅者。
根据 04 十一月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 225，过去 24 小时变化为 7，整体触达仍然可观。
- 认证状态： 未认证
- 互动率 (ER)： 平均受众互动率为 6.10%。内容发布后 24 小时内通常能获得 N/A% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 0 次浏览，首日通常累积 0 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 0。
- 主题关注点： 内容集中在 linux, workflow, setup, claude, command 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台：
“See what the GitHub community is most excited about today.
A bot automatically fetches new repositories from https://github.com/trending and sends them to the channel.
Author and maintainer: https://github.com/katursis”
凭借高频更新（最新数据采集于 05 十一月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。
11 921
订阅者
+724 小时
+527 天
+22530 天
帖子存档
11 926
#rust #analytics #big_data #data_science #graph #graph_analytics #graph_computation #graph_computing #graph_data #graph_neural_networks #gremlin
https://github.com/alibaba/GraphScope
11 926
#lua #alacritty #alacritty_colorscheme #alacritty_theme #fish_shell #fish_theme #iterm2 #iterm2_colors #kitty #kitty_themes #neovim #neovim_colorscheme #neovim_lua #neovim_theme #vim #vim_colorscheme #vim_theme
https://github.com/folke/tokyonight.nvim
11 926
#python #chocolatey #cli #npm #package #package_manager #pip #scoop #windows #windows_10 #windows_11 #winget #wingetui
https://github.com/marticliment/WingetUI
11 926
#python #conformer #modelscope #paraformer #punctuation #pytorch #rnnt #speaker_diarization #speech_recognition #vad
https://github.com/alibaba-damo-academy/FunASR
11 926
#typescript #data_table #datagrid #material_table #material_ui #react #react_table #tanstack
https://github.com/KevinVandy/material-react-table
11 926
#python #data_drift #data_science #data_validation #deep_learning #html_report #jupyter_notebook #machine_learning #ml #mlops #model_monitoring #model_validation #pandas_dataframe #pytorch
https://github.com/deepchecks/deepchecks
11 926
#shell #ai_development_tools #awesome_list #llmops #mlops
https://github.com/tensorchord/Awesome-LLMOps
11 926
#typescript #framer_motion #nextjs #react #sanity #tailwindcss
https://github.com/CaliCastle/cali.so
11 926
#go #ffmpeg #h264 #h265 #hassio #hls #home_assistant #homekit #http_flv #media_server #mjpeg #mp4 #ngrok #rtmp #rtp #rtsp #rtsp_server #streaming #webcam_streaming #webrtc
https://github.com/AlexxIT/go2rtc
11 926
#python #backdoor #cli #controller #declarative #docker #gui #hacking #http_requests #https #linux #macos #onion #payload #php #remoteaccess #revisioncontrol #termux #website #windows
https://github.com/yasserbdj96/hiphp
11 926
#python #archive #downloader #gfycat #imgur #reddit #scraper
https://github.com/aliparlakci/bulk-downloader-for-reddit
11 926
#javascript #electerm #electron #file_manager #linux_app #macos_app #open_source #serialport #sftp #ssh #telnet #terminal #windows_app
https://github.com/electerm/electerm
11 926
#python #ai_art #huggingface #huggingface_diffusers #machine_learning #stable_diffusion
https://github.com/nateraw/stable-diffusion-videos
11 926
#yara #all_in_one #antivirus #apk #elf #exe #linux #malware #malware_analysis #osx #packer #python3 #ransomware #security_tools #static_analysis #strings #suspicious_files #termux #threat_analysis #virustotal #windows
https://github.com/CYB3RMX/Qu1cksc0pe
11 926
#hcl #ansible #ansible_template #docker #docker_compose #docker_compose_template #kubernetes #kubernetes_template #packer #packer_template #terraform #terraform_template #vagrant #vagrant_template
https://github.com/ChristianLempa/boilerplates
11 926
#python #active_learning #ai #annotation_tool #developer_tools #gpt_4 #human_in_the_loop #langchain #llm #machine_learning #mlops #natural_language_processing #nlp #rlhf #text_annotation #text_labeling #weak_supervision #weakly_supervised_learning
https://github.com/argilla-io/argilla
