StandupBot is an easy to use bot that automates your team’s standups, check-ins or any kind of recurring status update meetings, without breaking the bank. Trusted by thousands of teams to run over a million standups in our 8+ year history.
Unlike other tools that try to do way too things and are super confusing to manage, we focus on what you really need to automate your team’s meetings:
⚡️Fast setup: From install to first meeting in under 60 seconds. Great defaults to get you going and super easy to change to your needs.
👥 Multiple teams and projects: Create as many standups or status meetings you need for different projects or teams.
🕘 100% asynchronous: Everyone participates when it’s more convenient for them.
📃 Standup Report: Receive an easy-to-read report via email and Slack when the meeting is done.
👀 “Just following” mode: Select who's actively participating in meetings and who's only following through reports.
📆 Flexible scheduling: Schedule your meetings at the days and times you need. Automatically excuse people from meetings when they’re on vacation.
✅ Participation reports: Team- and individual-level participation reports, so you can easily see who needs some encouragement to share their updates more frequently.
🔔 Automatic reminders: We’ll be the friendly drill-sergeant for your team reminding everyone that hasn’t submitted their standup to do so before the meeting window closes.
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Based on our record, Apache Airflow seems to be more popular. It has been mentiond 66 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / 24 days ago
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 4 months ago
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 7 months ago
Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 7 months ago
AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic! Source: 8 months ago
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