Unified messaging library for Telegram, Discord, and Slack.
Project description
nbnotify
A unified Python library for sending messages and images to Telegram, Discord, and Slack — with a single, consistent API.
Perfect for Jupyter notebooks, ML training scripts, or any long-running process where you want real-time notifications.
Installation
pip install nbnotify
Or via conda:
conda install -c conda-forge nbnotify
Quickstart
from nbnotify import configure, send_message, send_image
# Pick your platform
configure("telegram", bot_token="YOUR_TOKEN", chat_id="YOUR_CHAT_ID")
send_message("Training complete!")
send_image("results.png", caption="Final accuracy: 98.2%")
Platform Setup
Telegram
- Create a bot via @BotFather and get your token.
- Send a message to your bot, then visit
https://api.telegram.org/bot<TOKEN>/getUpdatesto find yourchat_id.
configure("telegram", bot_token="123:ABC...", chat_id="987654321")
Discord
- Go to your channel → Edit Channel → Integrations → Webhooks → New Webhook.
configure("discord", webhook_url="https://discord.com/api/webhooks/...")
Slack
- Visit api.slack.com/apps → Incoming Webhooks.
# Text only
configure("slack", webhook_url="https://hooks.slack.com/services/...")
# Text + images (requires bot token)
configure("slack", webhook_url="...", bot_token="xoxb-...", chat_id="#general")
API Reference
configure(platform, *, bot_token, webhook_url, chat_id)
Sets up the active platform. Must be called before any other function.
send_message(text)
Sends a plain-text message. Returns the API response dict.
send_image(image_path, caption=None)
Sends an image file. Optionally attach a caption.
get_config()
Returns the current configuration (tokens are masked).
License
MIT
Project details
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